{"id":1559,"date":"2017-12-07T14:36:41","date_gmt":"2017-12-07T13:36:41","guid":{"rendered":"https:\/\/www.intellias.com\/?p=1559"},"modified":"2023-08-21T07:46:32","modified_gmt":"2023-08-21T05:46:32","slug":"the-emerging-future-of-autonomus-driving","status":"publish","type":"blog","link":"https:\/\/intellias.com\/the-emerging-future-of-autonomus-driving\/","title":{"rendered":"The Emerging Future of Autonomous Vehicles"},"content":{"rendered":"<p>Look at your car. It might be the last one you drive on your own. The future of autonomous vehicles\u00a0already seems irreversible and so close, you just take off the hands of the wheel and enjoy the ride. All the leading car manufacturers promise that autonomous vehicles in the future\u00a0will conquer the world between 2018 and 2030.<\/p>\n<section class=\"testimonial-wrap testimonial-wrap--simple\">\n\t\t\t<blockquote class=\"testimonial-block\">\n\t\t\t\t<div class=\"testimonial-block__content\">\n\t\t\t\t<svg class=\"quote-icon\" width=\"75\" height=\"65\" viewBox=\"0 0 75 65\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path opacity=\".3\" fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M16 29.7h10c2.4 0 4.4.8 6.1 2.5a8.5 8.5 0 0 1 2.5 6.2v17.4c0 2.5-.8 4.5-2.5 6.2a8.2 8.2 0 0 1-6 2.6H8.7c-2.4 0-4.4-.9-6-2.6a8.5 8.5 0 0 1-2.6-6.2v-32A23 23 0 0 1 7 7.4 23.1 23.1 0 0 1 23.2.6H26a2.8 2.8 0 0 1 2.9 3v5.7c0 .8-.3 1.5-.9 2-.5.6-1.2 1-2 1h-2.8a11 11 0 0 0-8.2 3.3c-2.2 2.3-3.3 5-3.3 8.2v1.5c0 1.2.4 2.2 1.2 3 .9 1 1.9 1.4 3 1.4Zm49.9 0c2.4 0 4.4.8 6 2.5a8.5 8.5 0 0 1 2.6 6.2v17.4c0 2.5-.9 4.5-2.5 6.2a8.2 8.2 0 0 1-6.1 2.6H48.7c-2.4 0-4.5-.9-6.1-2.6a8.5 8.5 0 0 1-2.5-6.2v-32a23 23 0 0 1 6.7-16.4A23.1 23.1 0 0 1 63 .6h2.9c.7 0 1.4.3 2 .8.6.6.8 1.3.8 2v5.9c0 .8-.2 1.5-.8 2-.6.6-1.3 1-2 1H63a11 11 0 0 0-8.1 3.3c-2.2 2.3-3.4 5-3.4 8.2v1.5c0 1.2.4 2.2 1.3 3 .8 1 1.8 1.4 3 1.4h10Z\" fill=\"url(#a)\"\/><defs><linearGradient id=\"a\" x1=\".2\" y1=\"32.6\" x2=\"74.5\" y2=\"32.6\" gradientUnits=\"userSpaceOnUse\"><stop stop-color=\"#45D6AD\"\/><stop offset=\".5\" stop-color=\"#5DB6E1\"\/><stop offset=\"1\" stop-color=\"#BC84CA\"\/><\/linearGradient><\/defs><\/svg>\n\t\t\t\t\t<p>One small step aside the wheel for a human becomes a giant leap for the automotive industry.<\/p>\n\t\t\t\t<\/div>\n\t\t\t\t<small class=\"testimonial-block__footer\">\n\t\t\t\t\n\t\t\t\t\t<span class=\"testimonial-block__author\"> <\/span>\n\t\t\t\t<\/small>\n\t\t\t<\/blockquote>\n\t\t<\/section>\n<div><a href=\"\/connected-driving-whitepaper\/\" class=\"whitepaper-banner wow fadeInUp\">\n\t\t\t\n\t\t\t<div class=\"whitepaper-banner__info\">\n\t\t\t\t<div class=\"whitepaper-banner__info-text\">\n\t\t\t\t\t<div class=\"whitepaper-title\">CONNECTED DRIVING WHITEPAPER<\/div>\n\t\t\t\t\t<div class=\"whitepaper-description\">How Tier 1s can thrive during technology disruption<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<span class=\"whitepaper-btn btn-filled\"> Download now <\/span>\n\t\t\t<\/div>\n\t\t<\/a><\/div>\n<h3>Roadmap to autonomous driving<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-7697 size-full\" src=\"https:\/\/d17ocfn2f5o4rl.cloudfront.net\/wp-content\/uploads\/2017\/12\/Roadmap-to-autonomous-driving-evolution-2.png\" alt=\"The Emerging Future of Autonomous Vehicles\" width=\"770\" height=\"415\" srcset=\"https:\/\/intellias.com\/wp-content\/uploads\/2017\/12\/Roadmap-to-autonomous-driving-evolution-2.png 770w, https:\/\/intellias.com\/wp-content\/uploads\/2017\/12\/Roadmap-to-autonomous-driving-evolution-2-300x162.png 300w, https:\/\/intellias.com\/wp-content\/uploads\/2017\/12\/Roadmap-to-autonomous-driving-evolution-2-768x415.png 768w, https:\/\/intellias.com\/wp-content\/uploads\/2017\/12\/Roadmap-to-autonomous-driving-evolution-2-570x306.png 570w\" sizes=\"(max-width: 770px) 100vw, 770px\" \/><\/p>\n<p>And <a href=\"https:\/\/intellias.com\/mobility-industry-trends\/\" target=\"_blank\" rel=\"noopener noreferrer\">how will self-driving cars change the way people live?<\/a> <span style=\"font-weight: 400;\">How strong would be their impact?\u00a0<\/span><\/p>\n<h4>Autonomous vehicles in the future\u00a0will offer numerous benefits:<\/h4>\n<ul>\n<li>liberates you when you\u2019re on the road<\/li>\n<li>saves parking slots in the city<\/li>\n<li>gives the best option for the POI<\/li>\n<li>shows where to make an urgent purchase<\/li>\n<\/ul>\n<p>Intelligent mechanics can save fuel, reduce emissions, ease the flow of traffic, improve transportation, and supply services. Moreover, the <a href=\"https:\/\/intellias.com\/five-outcomes-of-the-autonomous-revolution\/\">future of autonomous vehicles<\/a> promises to <strong>save millions of lives<\/strong> by minimizing accidents caused by human error, making driving experience as safe as enjoyable.<\/p>\n<h3>Functional architecture of autonomous cars<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-1564 size-full\" src=\"https:\/\/d17ocfn2f5o4rl.cloudfront.net\/wp-content\/uploads\/2017\/10\/autonomous-cars-functional-architecture-2x.png\" alt=\"The Emerging Future of Autonomous Vehicles\" width=\"1540\" height=\"860\" srcset=\"https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/autonomous-cars-functional-architecture-2x.png 1540w, https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/autonomous-cars-functional-architecture-2x-300x168.png 300w, https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/autonomous-cars-functional-architecture-2x-768x429.png 768w, https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/autonomous-cars-functional-architecture-2x-1024x572.png 1024w\" sizes=\"(max-width: 1540px) 100vw, 1540px\" \/><\/p>\n<h3>Roadblocks to the autonomous future<\/h3>\n<p>The biggest challenges to the upcoming <a href=\"http:\/\/verdict-emerge.nridigital.com\/verdict_emerge_spring18\/expert_comment_the_future_of_autonomous_vehicles\">autonomous vehicle future<\/a>\u00a0fall into three categories:<\/p>\n<ul>\n<li>Legal<\/li>\n<li>Ethical<\/li>\n<li>Technical<\/li>\n<\/ul>\n<p>Legal and ethical problems are hard to solve because their clues are outside the direct influence of the automotive industry and largely depend on the local governments. On the other hand, autonomous driving technology is improving faster and faster as more OEMs and Tier 1 vendors join the race to create <a href=\"https:\/\/dryve.com\/self-driving-cars-explained\/\">autonomous vehicles in the future.<\/a><\/p>\n<div><a href=\"https:\/\/intellias.com\/solving-autonomous-car-problems\/\" class=\"cta-wrap \">\n                    <div class=\"left-col\">\n                        <p class=\"cta-title\">Looking at the failures of autonomous vehicles and promising improvements shows that self-driving technology is inevitable<\/p>\n                        <div class=\"cta-block__content\">\n                            <div class=\"description\"><\/div>\n                        <\/div>\n                    <\/div>\n                     <span class=\"btn-filled\">Read more<\/span>\n\t\t        <\/a><\/div>\n<h2>Technical pillars to autonomous vehicles in the future<\/h2>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-1566\" src=\"https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/tech-pillars-to-autonomous-driving-2x.png\" alt=\"The Emerging Future of Autonomous Vehicles\" width=\"1540\" height=\"760\" srcset=\"https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/tech-pillars-to-autonomous-driving-2x.png 1540w, https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/tech-pillars-to-autonomous-driving-2x-300x148.png 300w, https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/tech-pillars-to-autonomous-driving-2x-768x379.png 768w, https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/tech-pillars-to-autonomous-driving-2x-1024x505.png 1024w\" sizes=\"(max-width: 1540px) 100vw, 1540px\" \/><\/p>\n<p>Let&#8217;s take a closer look at the five technical pillars that stand tall for self-driving cars to come in the immediate future.<\/p>\n<h3>Car sensors and software to enable cars see the road<\/h3>\n<p>Self-driving car navigation is based on four key elements:<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-1568\" src=\"https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/self-driving-car-navigation-2x.png\" alt=\"The Emerging Future of Autonomous Vehicles\" width=\"1540\" height=\"460\" srcset=\"https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/self-driving-car-navigation-2x.png 1540w, https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/self-driving-car-navigation-2x-300x90.png 300w, https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/self-driving-car-navigation-2x-768x229.png 768w, https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/self-driving-car-navigation-2x-1024x306.png 1024w\" sizes=\"(max-width: 1540px) 100vw, 1540px\" \/><\/p>\n<p>A few years ago, sensor quality and cost were the hot spot of every discussion about the autonomous vehicle future\u00a0as the potential niche for business investments. Google used a LIDAR system priced at around $75,000 per unit, which was half the total cost \u2013 around $150,000 \u2013 of each of their driverless vehicles. These prices made self-driving cars a dead weight for the global market because a single travel on a self-driving car was tended to cost impossible sum comparable to owning a private jet.<\/p>\n<p>Since then Velodyne, a company specializing in LIDAR production, has started offering a small but capable unit for just $500, which made the autonomous technology more available. So, the issue of cost as the main roadblock to autonomous vehicles has gradually started to fade away.<\/p>\n<section class=\"testimonial-wrap testimonial-wrap--simple\">\n\t\t\t<blockquote class=\"testimonial-block\">\n\t\t\t\t<div class=\"testimonial-block__content\">\n\t\t\t\t<svg class=\"quote-icon\" width=\"75\" height=\"65\" viewBox=\"0 0 75 65\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path opacity=\".3\" fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M16 29.7h10c2.4 0 4.4.8 6.1 2.5a8.5 8.5 0 0 1 2.5 6.2v17.4c0 2.5-.8 4.5-2.5 6.2a8.2 8.2 0 0 1-6 2.6H8.7c-2.4 0-4.4-.9-6-2.6a8.5 8.5 0 0 1-2.6-6.2v-32A23 23 0 0 1 7 7.4 23.1 23.1 0 0 1 23.2.6H26a2.8 2.8 0 0 1 2.9 3v5.7c0 .8-.3 1.5-.9 2-.5.6-1.2 1-2 1h-2.8a11 11 0 0 0-8.2 3.3c-2.2 2.3-3.3 5-3.3 8.2v1.5c0 1.2.4 2.2 1.2 3 .9 1 1.9 1.4 3 1.4Zm49.9 0c2.4 0 4.4.8 6 2.5a8.5 8.5 0 0 1 2.6 6.2v17.4c0 2.5-.9 4.5-2.5 6.2a8.2 8.2 0 0 1-6.1 2.6H48.7c-2.4 0-4.5-.9-6.1-2.6a8.5 8.5 0 0 1-2.5-6.2v-32a23 23 0 0 1 6.7-16.4A23.1 23.1 0 0 1 63 .6h2.9c.7 0 1.4.3 2 .8.6.6.8 1.3.8 2v5.9c0 .8-.2 1.5-.8 2-.6.6-1.3 1-2 1H63a11 11 0 0 0-8.1 3.3c-2.2 2.3-3.4 5-3.4 8.2v1.5c0 1.2.4 2.2 1.3 3 .8 1 1.8 1.4 3 1.4h10Z\" fill=\"url(#a)\"\/><defs><linearGradient id=\"a\" x1=\".2\" y1=\"32.6\" x2=\"74.5\" y2=\"32.6\" gradientUnits=\"userSpaceOnUse\"><stop stop-color=\"#45D6AD\"\/><stop offset=\".5\" stop-color=\"#5DB6E1\"\/><stop offset=\"1\" stop-color=\"#BC84CA\"\/><\/linearGradient><\/defs><\/svg>\n\t\t\t\t\t<p>Google used a LIDAR system priced at around $75,000 per unit, which was half the total cost \u2013 around $150,000 \u2013 of each of their driverless vehicles. Now, Velodyne offers it for just $500.<\/p>\n\t\t\t\t<\/div>\n\t\t\t\t<small class=\"testimonial-block__footer\">\n\t\t\t\t\n\t\t\t\t\t<span class=\"testimonial-block__author\"> <\/span>\n\t\t\t\t<\/small>\n\t\t\t<\/blockquote>\n\t\t<\/section>\n<p>At this stage, the responsibility for our autonomous vehicle future\u00a0rests primarily with automotive software providers. They have the entire niche to develop an <a href=\"https:\/\/intellias.com\/automotive\/\">automotive expertise<\/a> that would meet the autonomous car requirements as its widespread popularization opens a huge demand for software among other opportunities.<\/p>\n<h4>Software will capture the largest slice of the autonomous car opportunity<\/h4>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-7644 size-full\" src=\"https:\/\/d17ocfn2f5o4rl.cloudfront.net\/wp-content\/uploads\/2017\/12\/Autonomous-driving-software.png\" alt=\"The Emerging Future of Autonomous Vehicles\" width=\"770\" height=\"400\" srcset=\"https:\/\/intellias.com\/wp-content\/uploads\/2017\/12\/Autonomous-driving-software.png 770w, https:\/\/intellias.com\/wp-content\/uploads\/2017\/12\/Autonomous-driving-software-300x156.png 300w, https:\/\/intellias.com\/wp-content\/uploads\/2017\/12\/Autonomous-driving-software-768x400.png 768w\" sizes=\"(max-width: 770px) 100vw, 770px\" \/><\/p>\n<p>In particular, the software for autonomous driving will be separated into the following categories of expertise:<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-1570\" src=\"https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/automotive-expertise-2x.png\" alt=\"The Emerging Future of Autonomous Vehicles\" width=\"1540\" height=\"526\" srcset=\"https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/automotive-expertise-2x.png 1540w, https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/automotive-expertise-2x-300x102.png 300w, https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/automotive-expertise-2x-768x262.png 768w, https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/automotive-expertise-2x-1024x350.png 1024w\" sizes=\"(max-width: 1540px) 100vw, 1540px\" \/><\/p>\n<div class=\"learn-more-block\">\n\t\t\t<div class=\"learn-more-block__content\">\n\t\t\t\tIntellias is ready to become your trusted partner in autonomous driving development. Contact us and we will create the driverless future together\n\t\t\t<\/div>\n            <a href=\"https:\/\/intellias.com\/contact\/\" class=\"btn-filled\">Get in touch<\/a>\n\t\t<\/div>\n<h3>Navigation and mapping for precise positioning on the road<\/h3>\n<div id=\"layerContentContainer\">\n<div id=\"layerContent\" tabindex=\"1\">\n<p>Relying on sensors, software, and <a href=\"https:\/\/intellias.com\/build-gps-car-tracking-system\/\">GPS data<\/a>, an autonomous vehicle processes nearly <strong>4,000 gigabytes of data daily<\/strong>. Advanced\u00a0machine learning\u00a0algorithms need timely updated data to react to the ever-changing environment. A continuous exchange of data between vehicles and the cloud can overload data networks and data storage, creating additional challenges for software vendors.<\/p>\n<\/div>\n<\/div>\n<div class=\"styleExportContainer\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-1572\" src=\"https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/navigation-and-mapping-2x.jpg\" alt=\"The Emerging Future of Autonomous Vehicles\" width=\"1540\" height=\"812\" srcset=\"https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/navigation-and-mapping-2x.jpg 1540w, https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/navigation-and-mapping-2x-300x158.jpg 300w, https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/navigation-and-mapping-2x-768x405.jpg 768w, https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/navigation-and-mapping-2x-1024x540.jpg 1024w\" sizes=\"(max-width: 1540px) 100vw, 1540px\" \/><\/div>\n<div>\n<p>Currently, map providers are putting every effort into reducing the volume of data transferred between a vehicle and the cloud by trying to maximize the amount of <a href=\"https:\/\/intellias.com\/how-big-data-in-autonomous-vehicles-defines-the-future\/\">car big data<\/a> processed within the vehicle itself. One proposed solution is a so-called <strong>\u201cself-healing map\u201d<\/strong> that would use on-board AI algorithms and deep learning capabilities to navigate without stepping too far to\u00a0the cloud.<\/p>\n<\/div>\n<div><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-1574\" src=\"https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/navigation-and-mapping-2-2x.jpg\" alt=\"The Emerging Future of Autonomous Vehicles\" width=\"1540\" height=\"864\" srcset=\"https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/navigation-and-mapping-2-2x.jpg 1540w, https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/navigation-and-mapping-2-2x-300x168.jpg 300w, https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/navigation-and-mapping-2-2x-768x431.jpg 768w, https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/navigation-and-mapping-2-2x-1024x575.jpg 1024w\" sizes=\"(max-width: 1540px) 100vw, 1540px\" \/><\/div>\n<p>Built-in <a href=\"https:\/\/intellias.com\/computer-vision-keep-sharp-eye-road\/\">computer vision algorithms<\/a> could recognize landmarks and road signs picked up by cameras. This would allow a vehicle to distinguish static objects in the changing environment and generate a detailed 3D picture within the\u00a0embedded navigation system. Reducing the amount of data exchanged with the cloud would save the data connection primarily for exchanging missing map information among drivers. This would encourage map makers and OEMs to prepare for a <strong>new era of crowd-sourced maps<\/strong>.<\/p>\n<div><a href=\"https:\/\/intellias.com\/computer-vision-keep-sharp-eye-road\/\" class=\"cta-wrap \">\n                    <div class=\"left-col\">\n                        <p class=\"cta-title\">Learn about the integral parts of computer vision that enable autonomous cars to see and comprehend the world<\/p>\n                        <div class=\"cta-block__content\">\n                            <div class=\"description\"><\/div>\n                        <\/div>\n                    <\/div>\n                     <span class=\"btn-filled\">Read more<\/span>\n\t\t        <\/a><\/div>\n<h3>Machine learning and Open Location platforms to teach cars on-the-go<\/h3>\n<p>Most innovative tech companies have introduced their own <a href=\"https:\/\/intellias.com\/data-platform-for-autonomous-driving\/\">open location platforms<\/a> (OLPs) that let a <strong>car literally teach itself how to navigate<\/strong>. An OLP can help a car manufacturer equip their current models with <a href=\"https:\/\/intellias.com\/autonomous-driving-adas\/\">advanced driver assistance technologies<\/a> right away instead of having to design new prototypes. This cross-industry cooperation between tech companies and automakers might dramatically speed up the future of autonomous vehicles.<\/p>\n<section class=\"testimonial-wrap testimonial-wrap--simple\">\n\t\t\t<blockquote class=\"testimonial-block\">\n\t\t\t\t<div class=\"testimonial-block__content\">\n\t\t\t\t<svg class=\"quote-icon\" width=\"75\" height=\"65\" viewBox=\"0 0 75 65\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path opacity=\".3\" fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M16 29.7h10c2.4 0 4.4.8 6.1 2.5a8.5 8.5 0 0 1 2.5 6.2v17.4c0 2.5-.8 4.5-2.5 6.2a8.2 8.2 0 0 1-6 2.6H8.7c-2.4 0-4.4-.9-6-2.6a8.5 8.5 0 0 1-2.6-6.2v-32A23 23 0 0 1 7 7.4 23.1 23.1 0 0 1 23.2.6H26a2.8 2.8 0 0 1 2.9 3v5.7c0 .8-.3 1.5-.9 2-.5.6-1.2 1-2 1h-2.8a11 11 0 0 0-8.2 3.3c-2.2 2.3-3.3 5-3.3 8.2v1.5c0 1.2.4 2.2 1.2 3 .9 1 1.9 1.4 3 1.4Zm49.9 0c2.4 0 4.4.8 6 2.5a8.5 8.5 0 0 1 2.6 6.2v17.4c0 2.5-.9 4.5-2.5 6.2a8.2 8.2 0 0 1-6.1 2.6H48.7c-2.4 0-4.5-.9-6.1-2.6a8.5 8.5 0 0 1-2.5-6.2v-32a23 23 0 0 1 6.7-16.4A23.1 23.1 0 0 1 63 .6h2.9c.7 0 1.4.3 2 .8.6.6.8 1.3.8 2v5.9c0 .8-.2 1.5-.8 2-.6.6-1.3 1-2 1H63a11 11 0 0 0-8.1 3.3c-2.2 2.3-3.4 5-3.4 8.2v1.5c0 1.2.4 2.2 1.3 3 .8 1 1.8 1.4 3 1.4h10Z\" fill=\"url(#a)\"\/><defs><linearGradient id=\"a\" x1=\".2\" y1=\"32.6\" x2=\"74.5\" y2=\"32.6\" gradientUnits=\"userSpaceOnUse\"><stop stop-color=\"#45D6AD\"\/><stop offset=\".5\" stop-color=\"#5DB6E1\"\/><stop offset=\"1\" stop-color=\"#BC84CA\"\/><\/linearGradient><\/defs><\/svg>\n\t\t\t\t\t<p>An OLP can help a car manufacturer equip their current models with advanced driver assistance technologies right away instead of having to design new prototypes.<\/p>\n\t\t\t\t<\/div>\n\t\t\t\t<small class=\"testimonial-block__footer\">\n\t\t\t\t\n\t\t\t\t\t<span class=\"testimonial-block__author\"> <\/span>\n\t\t\t\t<\/small>\n\t\t\t<\/blockquote>\n\t\t<\/section>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-1576\" src=\"https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/machine-learning-and-open-location-platform-2x.jpg\" alt=\"The Emerging Future of Autonomous Vehicles\" width=\"1540\" height=\"892\" srcset=\"https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/machine-learning-and-open-location-platform-2x.jpg 1540w, https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/machine-learning-and-open-location-platform-2x-300x174.jpg 300w, https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/machine-learning-and-open-location-platform-2x-768x445.jpg 768w, https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/machine-learning-and-open-location-platform-2x-1024x593.jpg 1024w\" sizes=\"(max-width: 1540px) 100vw, 1540px\" \/><\/p>\n<p>Collaboration between OLP providers and car makers gives companies the opportunity to collect as much traffic data as possible. With a growing number of cars equipped with OLP, sensors, and even solutions that are considered to be weak AI in automotive, the volume of data on the road environment will increase exponentially.<\/p>\n<div><a href=\"https:\/\/intellias.com\/data-platform-for-autonomous-driving\/\" class=\"cta-wrap \">\n                    <div class=\"left-col\">\n                        <p class=\"cta-title\">Learn how we built a cloud-based platform powered by real-time data that will enable autonomous driving in the future<\/p>\n                        <div class=\"cta-block__content\">\n                            <div class=\"description\"><\/div>\n                        <\/div>\n                    <\/div>\n                     <span class=\"btn-filled\">Read more<\/span>\n\t\t        <\/a><\/div>\n<p>Instead of driving endless kilometers worldwide with hundreds of mapping cars to collect traffic data to produce high-resolution maps, millions of regular cars connected to an OLP will provide a detailed picture of the world in record time.<\/p>\n<section class=\"testimonial-wrap testimonial-wrap--simple\">\n\t\t\t<blockquote class=\"testimonial-block\">\n\t\t\t\t<div class=\"testimonial-block__content\">\n\t\t\t\t<svg class=\"quote-icon\" width=\"75\" height=\"65\" viewBox=\"0 0 75 65\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path opacity=\".3\" fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M16 29.7h10c2.4 0 4.4.8 6.1 2.5a8.5 8.5 0 0 1 2.5 6.2v17.4c0 2.5-.8 4.5-2.5 6.2a8.2 8.2 0 0 1-6 2.6H8.7c-2.4 0-4.4-.9-6-2.6a8.5 8.5 0 0 1-2.6-6.2v-32A23 23 0 0 1 7 7.4 23.1 23.1 0 0 1 23.2.6H26a2.8 2.8 0 0 1 2.9 3v5.7c0 .8-.3 1.5-.9 2-.5.6-1.2 1-2 1h-2.8a11 11 0 0 0-8.2 3.3c-2.2 2.3-3.3 5-3.3 8.2v1.5c0 1.2.4 2.2 1.2 3 .9 1 1.9 1.4 3 1.4Zm49.9 0c2.4 0 4.4.8 6 2.5a8.5 8.5 0 0 1 2.6 6.2v17.4c0 2.5-.9 4.5-2.5 6.2a8.2 8.2 0 0 1-6.1 2.6H48.7c-2.4 0-4.5-.9-6.1-2.6a8.5 8.5 0 0 1-2.5-6.2v-32a23 23 0 0 1 6.7-16.4A23.1 23.1 0 0 1 63 .6h2.9c.7 0 1.4.3 2 .8.6.6.8 1.3.8 2v5.9c0 .8-.2 1.5-.8 2-.6.6-1.3 1-2 1H63a11 11 0 0 0-8.1 3.3c-2.2 2.3-3.4 5-3.4 8.2v1.5c0 1.2.4 2.2 1.3 3 .8 1 1.8 1.4 3 1.4h10Z\" fill=\"url(#a)\"\/><defs><linearGradient id=\"a\" x1=\".2\" y1=\"32.6\" x2=\"74.5\" y2=\"32.6\" gradientUnits=\"userSpaceOnUse\"><stop stop-color=\"#45D6AD\"\/><stop offset=\".5\" stop-color=\"#5DB6E1\"\/><stop offset=\"1\" stop-color=\"#BC84CA\"\/><\/linearGradient><\/defs><\/svg>\n\t\t\t\t\t<p>With a growing number of cars equipped with OLP, sensors, and powerful AI solutions, the volume of data on the road environment will increase exponentially.<\/p>\n\t\t\t\t<\/div>\n\t\t\t\t<small class=\"testimonial-block__footer\">\n\t\t\t\t\n\t\t\t\t\t<span class=\"testimonial-block__author\"> <\/span>\n\t\t\t\t<\/small>\n\t\t\t<\/blockquote>\n\t\t<\/section>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-1578\" src=\"https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/machine-learning-and-open-location-platform-2-2x.jpg\" alt=\"The Emerging Future of Autonomous Vehicles\" width=\"1540\" height=\"728\" srcset=\"https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/machine-learning-and-open-location-platform-2-2x.jpg 1540w, https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/machine-learning-and-open-location-platform-2-2x-300x142.jpg 300w, https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/machine-learning-and-open-location-platform-2-2x-768x363.jpg 768w, https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/machine-learning-and-open-location-platform-2-2x-1024x484.jpg 1024w\" sizes=\"(max-width: 1540px) 100vw, 1540px\" \/><\/p>\n<p>Moreover, with access to <a href=\"https:\/\/intellias.com\/real-time-traffic-services-automotive-giants\/\">traffic data<\/a> from various sources and industries, an OLP has a much greater potential. An open location platform can connect to a city\u2019s infrastructure, merchants, and suppliers to become one large data hub for map users and drivers. By analyzing where a driver has previously driven, product companies can suggest deals for a potential customer and not just the right turn to take to escape a traffic jam.<\/p>\n<section class=\"testimonial-wrap testimonial-wrap--simple\">\n\t\t\t<blockquote class=\"testimonial-block\">\n\t\t\t\t<div class=\"testimonial-block__content\">\n\t\t\t\t<svg class=\"quote-icon\" width=\"75\" height=\"65\" viewBox=\"0 0 75 65\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path opacity=\".3\" fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M16 29.7h10c2.4 0 4.4.8 6.1 2.5a8.5 8.5 0 0 1 2.5 6.2v17.4c0 2.5-.8 4.5-2.5 6.2a8.2 8.2 0 0 1-6 2.6H8.7c-2.4 0-4.4-.9-6-2.6a8.5 8.5 0 0 1-2.6-6.2v-32A23 23 0 0 1 7 7.4 23.1 23.1 0 0 1 23.2.6H26a2.8 2.8 0 0 1 2.9 3v5.7c0 .8-.3 1.5-.9 2-.5.6-1.2 1-2 1h-2.8a11 11 0 0 0-8.2 3.3c-2.2 2.3-3.3 5-3.3 8.2v1.5c0 1.2.4 2.2 1.2 3 .9 1 1.9 1.4 3 1.4Zm49.9 0c2.4 0 4.4.8 6 2.5a8.5 8.5 0 0 1 2.6 6.2v17.4c0 2.5-.9 4.5-2.5 6.2a8.2 8.2 0 0 1-6.1 2.6H48.7c-2.4 0-4.5-.9-6.1-2.6a8.5 8.5 0 0 1-2.5-6.2v-32a23 23 0 0 1 6.7-16.4A23.1 23.1 0 0 1 63 .6h2.9c.7 0 1.4.3 2 .8.6.6.8 1.3.8 2v5.9c0 .8-.2 1.5-.8 2-.6.6-1.3 1-2 1H63a11 11 0 0 0-8.1 3.3c-2.2 2.3-3.4 5-3.4 8.2v1.5c0 1.2.4 2.2 1.3 3 .8 1 1.8 1.4 3 1.4h10Z\" fill=\"url(#a)\"\/><defs><linearGradient id=\"a\" x1=\".2\" y1=\"32.6\" x2=\"74.5\" y2=\"32.6\" gradientUnits=\"userSpaceOnUse\"><stop stop-color=\"#45D6AD\"\/><stop offset=\".5\" stop-color=\"#5DB6E1\"\/><stop offset=\"1\" stop-color=\"#BC84CA\"\/><\/linearGradient><\/defs><\/svg>\n\t\t\t\t\t<p>An open location platform can connect to a city\u2019s infrastructure, merchants, and suppliers to become one large data hub for map users and drivers.<\/p>\n\t\t\t\t<\/div>\n\t\t\t\t<small class=\"testimonial-block__footer\">\n\t\t\t\t\n\t\t\t\t\t<span class=\"testimonial-block__author\"> <\/span>\n\t\t\t\t<\/small>\n\t\t\t<\/blockquote>\n\t\t<\/section>\n<p>The accelerated <a href=\"https:\/\/intellias.com\/automotive-navigation\/\">improvement of HD maps<\/a> will take autonomous driving to the home stretch. Raw data from sensors can be accumulated as a common source of easily accessible data about routes, traffic situations, and environmental changes. The key to landing all this big data in one place is the open location platform.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-1580\" src=\"https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/which-non-automotive-industry-2x.png\" alt=\"The Emerging Future of Autonomous Vehicles\" width=\"1540\" height=\"640\" srcset=\"https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/which-non-automotive-industry-2x.png 1540w, https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/which-non-automotive-industry-2x-300x125.png 300w, https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/which-non-automotive-industry-2x-768x319.png 768w, https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/which-non-automotive-industry-2x-1024x426.png 1024w\" sizes=\"(max-width: 1540px) 100vw, 1540px\" \/><\/p>\n<h3>Connectivity and communication between cars and the environment<\/h3>\n<p><a href=\"https:\/\/intellias.com\/connected-car\/\">The future of autonomous vehicles and connectivity<\/a>\u00a0relies largely on <strong>building trust between a consumer and a car<\/strong>. Would you be ready to sit in a taxi and entrust your life to an AI without even being aware of how it behaves? The issue of placing trust in a vehicle can be resolved with a car\u2019s\u00a0communication abilities.<\/p>\n<p>A vehicle should be connected not only to the cloud (to receive <a href=\"https:\/\/intellias.com\/air-map-updates-connected-cars\/\">geolocation data and map updates<\/a>), but also to humans (V2H), other vehicles (V2V), and infrastructure (V2I) in order to be trustworthy traffic participants.<\/p>\n<p><strong>Vehicle-to-human (V2H)<\/strong> communication is based on a\u00a0<a href=\"https:\/\/intellias.com\/human-machine-interface\/\">human-machine interface<\/a>\u00a0that enables the driver to observe the vehicle AI\u2019s intention before it makes a move. Based on natural language processing algorithms and voice recognition, V2H communication already simplify interaction experience with <a href=\"https:\/\/intellias.com\/remarkably-stress-free-hmi-navigation-system\/\">navigation infotainment systems<\/a> and can create an extra link between self-driving cars and their owners.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-1582\" src=\"https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/autonomous-car-connectivity-and-communication-2x.jpg\" alt=\"The Emerging Future of Autonomous Vehicles\" width=\"1540\" height=\"788\" srcset=\"https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/autonomous-car-connectivity-and-communication-2x.jpg 1540w, https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/autonomous-car-connectivity-and-communication-2x-300x154.jpg 300w, https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/autonomous-car-connectivity-and-communication-2x-768x393.jpg 768w, https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/autonomous-car-connectivity-and-communication-2x-1024x524.jpg 1024w\" sizes=\"(max-width: 1540px) 100vw, 1540px\" \/><\/p>\n<p><strong>Vehicle-to-Vehicle (V2V)<\/strong> communication sets autonomous cars on the most efficient and safest course. By communicating with other vehicles, a self-driving car can receive information about upcoming obstacles, traffic congestion, and pedestrians on the road long before they\u2019re in front of the vehicle or appear on the map.<\/p>\n<p>Advanced V2V communication systems will make it much easier for autonomous vehicles to understand traffic behavior. Essentially, this is because vehicles will communicate in their own language among each other. Currently, a vehicle\u2019s AI has to adapt to the human-made system of signs and signals to predict the movements of other human-driven vehicles.<\/p>\n<section class=\"testimonial-wrap testimonial-wrap--simple\">\n\t\t\t<blockquote class=\"testimonial-block\">\n\t\t\t\t<div class=\"testimonial-block__content\">\n\t\t\t\t<svg class=\"quote-icon\" width=\"75\" height=\"65\" viewBox=\"0 0 75 65\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path opacity=\".3\" fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M16 29.7h10c2.4 0 4.4.8 6.1 2.5a8.5 8.5 0 0 1 2.5 6.2v17.4c0 2.5-.8 4.5-2.5 6.2a8.2 8.2 0 0 1-6 2.6H8.7c-2.4 0-4.4-.9-6-2.6a8.5 8.5 0 0 1-2.6-6.2v-32A23 23 0 0 1 7 7.4 23.1 23.1 0 0 1 23.2.6H26a2.8 2.8 0 0 1 2.9 3v5.7c0 .8-.3 1.5-.9 2-.5.6-1.2 1-2 1h-2.8a11 11 0 0 0-8.2 3.3c-2.2 2.3-3.3 5-3.3 8.2v1.5c0 1.2.4 2.2 1.2 3 .9 1 1.9 1.4 3 1.4Zm49.9 0c2.4 0 4.4.8 6 2.5a8.5 8.5 0 0 1 2.6 6.2v17.4c0 2.5-.9 4.5-2.5 6.2a8.2 8.2 0 0 1-6.1 2.6H48.7c-2.4 0-4.5-.9-6.1-2.6a8.5 8.5 0 0 1-2.5-6.2v-32a23 23 0 0 1 6.7-16.4A23.1 23.1 0 0 1 63 .6h2.9c.7 0 1.4.3 2 .8.6.6.8 1.3.8 2v5.9c0 .8-.2 1.5-.8 2-.6.6-1.3 1-2 1H63a11 11 0 0 0-8.1 3.3c-2.2 2.3-3.4 5-3.4 8.2v1.5c0 1.2.4 2.2 1.3 3 .8 1 1.8 1.4 3 1.4h10Z\" fill=\"url(#a)\"\/><defs><linearGradient id=\"a\" x1=\".2\" y1=\"32.6\" x2=\"74.5\" y2=\"32.6\" gradientUnits=\"userSpaceOnUse\"><stop stop-color=\"#45D6AD\"\/><stop offset=\".5\" stop-color=\"#5DB6E1\"\/><stop offset=\"1\" stop-color=\"#BC84CA\"\/><\/linearGradient><\/defs><\/svg>\n\t\t\t\t\t<p>Advanced V2V communication systems will make it much easier for autonomous vehicles to understand traffic behavior.<\/p>\n\t\t\t\t<\/div>\n\t\t\t\t<small class=\"testimonial-block__footer\">\n\t\t\t\t\n\t\t\t\t\t<span class=\"testimonial-block__author\"> <\/span>\n\t\t\t\t<\/small>\n\t\t\t<\/blockquote>\n\t\t<\/section>\n<p><strong>Vehicle-to-Infrastructure (V2I)<\/strong> communication allows an autonomous car to exchange data with its environment, including with buildings, traffic lights, and road signs. For example, when driving too fast, a car might receive a signal from a traffic light about a possible red-light violation. Or a car might receive a signal about a potential green line for further 30 kilometers if it drives at 50 km\/h.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-1584\" src=\"https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/autonomous-car-connectivity-and-communication-2-2x.jpg\" alt=\"The Emerging Future of Autonomous Vehicles\" width=\"1540\" height=\"490\" srcset=\"https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/autonomous-car-connectivity-and-communication-2-2x.jpg 1540w, https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/autonomous-car-connectivity-and-communication-2-2x-300x95.jpg 300w, https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/autonomous-car-connectivity-and-communication-2-2x-768x244.jpg 768w, https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/autonomous-car-connectivity-and-communication-2-2x-1024x326.jpg 1024w\" sizes=\"(max-width: 1540px) 100vw, 1540px\" \/><\/p>\n<p>The concept of V2I connectivity brings us closer to smart cities that can spread data-driven decision-making even further than the automotive industry.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-1586\" src=\"https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/smart-city-2x.jpg\" alt=\"The Emerging Future of Autonomous Vehicles\" width=\"1540\" height=\"724\" srcset=\"https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/smart-city-2x.jpg 1540w, https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/smart-city-2x-300x141.jpg 300w, https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/smart-city-2x-768x361.jpg 768w, https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/smart-city-2x-1024x481.jpg 1024w\" sizes=\"(max-width: 1540px) 100vw, 1540px\" \/><\/p>\n<h3>Cybersecurity to keep autonomous cars safe from the intruders<\/h3>\n<p>Driverless cars are already very smart. But are they smart enough not to be hacked but to guarantee 100% safety? The answer is that they need to become that smart.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-1588\" src=\"https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/potential-attack-sur-2x.jpg\" alt=\"The Emerging Future of Autonomous Vehicles\" width=\"1540\" height=\"812\" srcset=\"https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/potential-attack-sur-2x.jpg 1540w, https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/potential-attack-sur-2x-300x158.jpg 300w, https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/potential-attack-sur-2x-768x405.jpg 768w, https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/potential-attack-sur-2x-1024x540.jpg 1024w\" sizes=\"(max-width: 1540px) 100vw, 1540px\" \/><\/p>\n<p>The early adoption of an <a href=\"https:\/\/intellias.com\/adas-solution-electric-vehicles\/\">advanced driver assistance system<\/a> (ADAS) in already existing highly-automated cars, for example, can stop your car when you\u2019re driving into a wall. But do you want your car to stop in the middle of the street without any reason only because of a hack attack? The significance of cybersecurity rises dramatically in a world where a hacker can drive, stop, and control your car remotely.<\/p>\n<div><a href=\"https:\/\/intellias.com\/assessing-security-car-head-unit\/\" class=\"cta-wrap \">\n                    <div class=\"left-col\">\n                        <p class=\"cta-title\">Learn how we offered a proven solution to enhance the safety and digital security of high-tech cars<\/p>\n                        <div class=\"cta-block__content\">\n                            <div class=\"description\"><\/div>\n                        <\/div>\n                    <\/div>\n                     <span class=\"btn-filled\">Read more<\/span>\n\t\t        <\/a><\/div>\n<p><a href=\"https:\/\/intellias.com\/cybersecurity-consulting-services\/\">Properly built security systems<\/a> can be a strong barrier to halt a thief. If a car\u2019s system detects an abnormality in the vehicle\u2019s behavior, it can block data access or even cut the car connection. In addition,\u00a0preliminary penetration\u00a0tests and prediction of possible threat scenarios make the security burden much easier.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-1590\" src=\"https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/security-systems-2x.jpg\" alt=\"The Emerging Future of Autonomous Vehicles\" width=\"1540\" height=\"892\" srcset=\"https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/security-systems-2x.jpg 1540w, https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/security-systems-2x-300x174.jpg 300w, https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/security-systems-2x-768x445.jpg 768w, https:\/\/intellias.com\/wp-content\/uploads\/2017\/10\/security-systems-2x-1024x593.jpg 1024w\" sizes=\"(max-width: 1540px) 100vw, 1540px\" \/><\/p>\n<p>Tesla driverless car was intentionally attacked several times a day with the reward ranging from $100 to $10,000 only to find a critical bug or any other potential vulnerability. In one week, Tesla Model S was hacked in a variety of ways, allowing attackers to remotely open the door, change the music, control the air conditioning system, and even start the vehicle. There are many similar examples from other manufacturers. <a href=\"https:\/\/intellias.com\/assessing-security-car-head-unit\/\">Finding these security holes<\/a> out in the field conditions can help make autonomous cars more secure.<\/p>\n<section class=\"testimonial-wrap testimonial-wrap--simple\">\n\t\t\t<blockquote class=\"testimonial-block\">\n\t\t\t\t<div class=\"testimonial-block__content\">\n\t\t\t\t<svg class=\"quote-icon\" width=\"75\" height=\"65\" viewBox=\"0 0 75 65\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path opacity=\".3\" fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M16 29.7h10c2.4 0 4.4.8 6.1 2.5a8.5 8.5 0 0 1 2.5 6.2v17.4c0 2.5-.8 4.5-2.5 6.2a8.2 8.2 0 0 1-6 2.6H8.7c-2.4 0-4.4-.9-6-2.6a8.5 8.5 0 0 1-2.6-6.2v-32A23 23 0 0 1 7 7.4 23.1 23.1 0 0 1 23.2.6H26a2.8 2.8 0 0 1 2.9 3v5.7c0 .8-.3 1.5-.9 2-.5.6-1.2 1-2 1h-2.8a11 11 0 0 0-8.2 3.3c-2.2 2.3-3.3 5-3.3 8.2v1.5c0 1.2.4 2.2 1.2 3 .9 1 1.9 1.4 3 1.4Zm49.9 0c2.4 0 4.4.8 6 2.5a8.5 8.5 0 0 1 2.6 6.2v17.4c0 2.5-.9 4.5-2.5 6.2a8.2 8.2 0 0 1-6.1 2.6H48.7c-2.4 0-4.5-.9-6.1-2.6a8.5 8.5 0 0 1-2.5-6.2v-32a23 23 0 0 1 6.7-16.4A23.1 23.1 0 0 1 63 .6h2.9c.7 0 1.4.3 2 .8.6.6.8 1.3.8 2v5.9c0 .8-.2 1.5-.8 2-.6.6-1.3 1-2 1H63a11 11 0 0 0-8.1 3.3c-2.2 2.3-3.4 5-3.4 8.2v1.5c0 1.2.4 2.2 1.3 3 .8 1 1.8 1.4 3 1.4h10Z\" fill=\"url(#a)\"\/><defs><linearGradient id=\"a\" x1=\".2\" y1=\"32.6\" x2=\"74.5\" y2=\"32.6\" gradientUnits=\"userSpaceOnUse\"><stop stop-color=\"#45D6AD\"\/><stop offset=\".5\" stop-color=\"#5DB6E1\"\/><stop offset=\"1\" stop-color=\"#BC84CA\"\/><\/linearGradient><\/defs><\/svg>\n\t\t\t\t\t<p>Tesla driverless car was intentionally attacked several times a day with the reward ranging from $100 to $10,000 only to find a critical bug or any other potential vulnerability.<\/p>\n\t\t\t\t<\/div>\n\t\t\t\t<small class=\"testimonial-block__footer\">\n\t\t\t\t\n\t\t\t\t\t<span class=\"testimonial-block__author\"> <\/span>\n\t\t\t\t<\/small>\n\t\t\t<\/blockquote>\n\t\t<\/section>\n<p>Car makers and software security providers are forced to work together to prevent risks related to the safety of\u00a0autonomous vehicles in the future. The best strategy is to create an advanced architecture capable of <a href=\"https:\/\/intellias.com\/penetration-testing-of-connected-car-apps\/\">detecting and preventing penetration<\/a> or any conflict with standard vehicle algorithms.<\/p>\n<hr \/>\n<p>Despite the roadblocks, <a href=\"https:\/\/intellias.com\/automotive\/\">autonomous driving is quickly approaching the global traffic<\/a>. It promises to change our perception of urban mobility, mapping, supply services, smart cities, and AI capabilities in a larger sense.<\/p>\n<p>In this race, to win the driverless future, the tech part plays the role of a catalyst for a wider span of industries to consider autonomous driving as the most competitive though promising field in the nearest years. Even though autonomous driving is one of the biggest <a href=\"https:\/\/intellias.com\/challenges-automotive-industry-face-autonomous-driving\/\"><span style=\"font-weight: 400;\">challenges in automotive industry<\/span><\/a>, it&#8217;s also making the car-manufacturing domain the benchmark for other industries that are relying on connectivity, embedded solutions, and deep AI integration to drive the future.<\/p>\n<p>At this point, one small step aside the wheel has already been taken. The giant leap that will change the world has just begun.<\/p>\n<hr \/>\n<p><em>Intellias is ready to become your trusted partner in autonomous driving development. <a href=\"https:\/\/intellias.com\/contact\/\">Get in touch<\/a> to create the driverless future together.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Find out the main tech pillars of winning the future of autonomous vehicles &#8211; automated, safe, and convenient for all traffic participants<\/p>\n","protected":false},"author":15,"featured_media":0,"template":"","class_list":["post-1559","blog","type-blog","status-publish","hentry","blog-category-automotive-blog","blog-category-autonomous-driving"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v22.4 (Yoast SEO v23.2) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>The Emerging Future of Autonomous Vehicles | Intellias Blog<\/title>\n<meta name=\"description\" content=\"Find out the main tech pillars of winning the future of autonomous vehicles - automated, safe, and convenient for all traffic participants.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/intellias.com\/the-emerging-future-of-autonomus-driving\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"The Emerging Future of Autonomous Vehicles\" \/>\n<meta property=\"og:description\" content=\"Find out the main tech pillars of winning the future of autonomous vehicles - automated, safe, and convenient for all traffic participants.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/intellias.com\/the-emerging-future-of-autonomus-driving\/\" \/>\n<meta property=\"og:site_name\" content=\"Intellias\" \/>\n<meta property=\"article:modified_time\" content=\"2023-08-21T05:46:32+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/d17ocfn2f5o4rl.cloudfront.net\/wp-content\/uploads\/2018\/01\/emerging-future-of-autonomous-driving.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1919\" \/>\n\t<meta property=\"og:image:height\" content=\"600\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:image\" content=\"https:\/\/s3-eu-west-1.amazonaws.com\/elasticbeanstalk-eu-west-1-981246043789\/wp-content\/uploads\/2018\/01\/17170732\/emerging-future-of-autonomous-driving-1919x600.jpg\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"13 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/intellias.com\/the-emerging-future-of-autonomus-driving\/\",\"url\":\"https:\/\/intellias.com\/the-emerging-future-of-autonomus-driving\/\",\"name\":\"The Emerging Future of Autonomous Vehicles | Intellias Blog\",\"isPartOf\":{\"@id\":\"https:\/\/intellias.com\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/intellias.com\/the-emerging-future-of-autonomus-driving\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/intellias.com\/the-emerging-future-of-autonomus-driving\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/d17ocfn2f5o4rl.cloudfront.net\/wp-content\/uploads\/2017\/12\/Roadmap-to-autonomous-driving-evolution-2.png\",\"datePublished\":\"2017-12-07T13:36:41+00:00\",\"dateModified\":\"2023-08-21T05:46:32+00:00\",\"description\":\"Find out the main tech pillars of winning the future of autonomous vehicles - automated, safe, and convenient for all traffic participants.\",\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/intellias.com\/the-emerging-future-of-autonomus-driving\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/intellias.com\/the-emerging-future-of-autonomus-driving\/#primaryimage\",\"url\":\"https:\/\/d17ocfn2f5o4rl.cloudfront.net\/wp-content\/uploads\/2017\/12\/Roadmap-to-autonomous-driving-evolution-2.png\",\"contentUrl\":\"https:\/\/d17ocfn2f5o4rl.cloudfront.net\/wp-content\/uploads\/2017\/12\/Roadmap-to-autonomous-driving-evolution-2.png\"},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/intellias.com\/#website\",\"url\":\"https:\/\/intellias.com\/\",\"name\":\"Intellias\",\"description\":\"\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/intellias.com\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"en-US\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/intellias.com\/#\/schema\/person\/340e93af638d45b994549b7b14544b8b\",\"name\":\"Dmytro\"}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"The Emerging Future of Autonomous Vehicles | Intellias Blog","description":"Find out the main tech pillars of winning the future of autonomous vehicles - automated, safe, and convenient for all traffic participants.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/intellias.com\/the-emerging-future-of-autonomus-driving\/","og_locale":"en_US","og_type":"article","og_title":"The Emerging Future of Autonomous Vehicles","og_description":"Find out the main tech pillars of winning the future of autonomous vehicles - automated, safe, and convenient for all traffic participants.","og_url":"https:\/\/intellias.com\/the-emerging-future-of-autonomus-driving\/","og_site_name":"Intellias","article_modified_time":"2023-08-21T05:46:32+00:00","og_image":[{"width":1919,"height":600,"url":"https:\/\/d17ocfn2f5o4rl.cloudfront.net\/wp-content\/uploads\/2018\/01\/emerging-future-of-autonomous-driving.jpg","type":"image\/jpeg"}],"twitter_card":"summary_large_image","twitter_image":"https:\/\/s3-eu-west-1.amazonaws.com\/elasticbeanstalk-eu-west-1-981246043789\/wp-content\/uploads\/2018\/01\/17170732\/emerging-future-of-autonomous-driving-1919x600.jpg","twitter_misc":{"Est. reading time":"13 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/intellias.com\/the-emerging-future-of-autonomus-driving\/","url":"https:\/\/intellias.com\/the-emerging-future-of-autonomus-driving\/","name":"The Emerging Future of Autonomous Vehicles | Intellias Blog","isPartOf":{"@id":"https:\/\/intellias.com\/#website"},"primaryImageOfPage":{"@id":"https:\/\/intellias.com\/the-emerging-future-of-autonomus-driving\/#primaryimage"},"image":{"@id":"https:\/\/intellias.com\/the-emerging-future-of-autonomus-driving\/#primaryimage"},"thumbnailUrl":"https:\/\/d17ocfn2f5o4rl.cloudfront.net\/wp-content\/uploads\/2017\/12\/Roadmap-to-autonomous-driving-evolution-2.png","datePublished":"2017-12-07T13:36:41+00:00","dateModified":"2023-08-21T05:46:32+00:00","description":"Find out the main tech pillars of winning the future of autonomous vehicles - automated, safe, and convenient for all traffic participants.","inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/intellias.com\/the-emerging-future-of-autonomus-driving\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/intellias.com\/the-emerging-future-of-autonomus-driving\/#primaryimage","url":"https:\/\/d17ocfn2f5o4rl.cloudfront.net\/wp-content\/uploads\/2017\/12\/Roadmap-to-autonomous-driving-evolution-2.png","contentUrl":"https:\/\/d17ocfn2f5o4rl.cloudfront.net\/wp-content\/uploads\/2017\/12\/Roadmap-to-autonomous-driving-evolution-2.png"},{"@type":"WebSite","@id":"https:\/\/intellias.com\/#website","url":"https:\/\/intellias.com\/","name":"Intellias","description":"","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/intellias.com\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"en-US"},{"@type":"Person","@id":"https:\/\/intellias.com\/#\/schema\/person\/340e93af638d45b994549b7b14544b8b","name":"Dmytro"}]}},"_links":{"self":[{"href":"https:\/\/intellias.com\/wp-json\/wp\/v2\/blog\/1559"}],"collection":[{"href":"https:\/\/intellias.com\/wp-json\/wp\/v2\/blog"}],"about":[{"href":"https:\/\/intellias.com\/wp-json\/wp\/v2\/types\/blog"}],"author":[{"embeddable":true,"href":"https:\/\/intellias.com\/wp-json\/wp\/v2\/users\/15"}],"version-history":[{"count":17,"href":"https:\/\/intellias.com\/wp-json\/wp\/v2\/blog\/1559\/revisions"}],"predecessor-version":[{"id":61093,"href":"https:\/\/intellias.com\/wp-json\/wp\/v2\/blog\/1559\/revisions\/61093"}],"wp:attachment":[{"href":"https:\/\/intellias.com\/wp-json\/wp\/v2\/media?parent=1559"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}