{"id":57924,"date":"2018-01-19T00:00:00","date_gmt":"2018-01-18T22:00:00","guid":{"rendered":"https:\/\/richardvanhooijdonk.com\/blog\/nissans-brain-to-vehicle-system-might-soon-allow-your-car-to-read-your-mind\/"},"modified":"2024-12-19T22:14:38","modified_gmt":"2024-12-19T20:14:38","slug":"nissans-brain-to-vehicle-system-might-soon-allow-your-car-to-read-your-mind","status":"publish","type":"post","link":"https:\/\/blog.richardvanhooijdonk.com\/en\/nissans-brain-to-vehicle-system-might-soon-allow-your-car-to-read-your-mind\/","title":{"rendered":"Nissan\u2019s Brain-to-Vehicle system might soon allow your car to read your mind"},"content":{"rendered":"<ul class=\"bold-list\">\n<li>MIT\u2019s Computer Science and Artificial Intelligence Laboratory took the first steps<\/li>\n<li>Nissan\u2019s Brain-To-Vehicle system is keeping the person in charge of automated driving<\/li>\n<li>Will the technical challenges prove too much?<\/li>\n<li>Critics are worried about privacy, too<\/li>\n<\/ul>\n<p><a href=\"https:\/\/richardvanhooijdonk.com\/keynote\/trends-2040-ben-jij-er-klaar-voor\/\">The driverless car<\/a> revolution is nearly here. Soon, smart algorithms will be able to do the hard work for us, improving safety and letting us take care of other business as we ride in comfort. But the shape of things to come isn\u2019t clear, and many consumers are less than welcoming of full machine control in their cars. In fact, a recent MIT survey <a href=\"http:\/\/agelab.mit.edu\/sites\/default\/files\/MIT%20-%20NEMPA%20White%20Paper%20FINAL.pdf\">found<\/a> that 48 per cent of its respondents \u201cwould never purchase a car that completely drives itself\u201d. Leading automakers are listening, and Nissan is experimenting with new tech to find a driverless system that\u2019s safe, while still allowing people to feel like they\u2019re in control.<\/p>\n<h2>MIT\u2019s Computer Science and Artificial Intelligence Laboratory took the first steps<\/h2>\n<p>Complex automated systems can be a poor fit for the people who use them &#8211; and driverless cars are really, really complicated systems. It can be tough for people to understand automation or to predict what it\u2019s going to do. For <a href=\"https:\/\/blog.richardvanhooijdonk.com\/en\/4-effects-of-self-driving-systems-the-most-disruptive-tech-in-history\/\">self-driving systems<\/a> to be accepted by the public, both are critical.<\/p>\n<p>To understand the problems of machine-human interaction, it\u2019s useful to consider simpler interactions like something as basic as a robotic arm assembling parts in a factory. For human supervisors, communicating problems to the robot can be cumbersome, frustrating work. Maybe it swings too close to nearby workers or moves in unexpected ways. But how can humans find a better way to work with machines?<\/p>\n<p>As Joseph DelPreto, a Ph.D. candidate at MIT\u2019s Computer Science and Artificial Intelligence Laboratory (CSAIL), <a href=\"https:\/\/www.livescience.com\/58147-brain-controlled-robots-safer-self-driving-cars.html\">explains<\/a>, \u201cWhen humans and robots work together, you basically have to learn the language of the robot, learn a new way to communicate with it, adapt to its interface.\u201d That\u2019s a lot easier said than done, and so the CSAIL team wanted to try a new approach. &#8220;In this work, we were interested in seeing how you can have the robot adapt to us rather than the other way around.\u201d<\/p>\n<figure id=\"attachment_32685\" aria-describedby=\"caption-attachment-32685\" style=\"width: 800px\" class=\"wp-caption aligncenter\"><img fetchpriority=\"high\" decoding=\"async\" class=\"wp-image-32685 size-full\" src=\"https:\/\/blog.richardvanhooijdonk.com\/wp-content\/uploads\/sites\/4\/2019\/05\/self-driving-image-1.jpg\" alt=\"Man sitting in the driver\u2019s seat of a self-driving vehicle with both of his hands on his knees \" width=\"800\" height=\"531\" \/><figcaption id=\"caption-attachment-32685\" class=\"wp-caption-text\">Complex automated systems can be a poor fit for the people who use them &#8211; and driverless cars are really, really complicated systems.<\/figcaption><\/figure>\n<p>The key to their experiment was part neuroscience and part high-tech sensors. When you think, your brain\u2019s neurons fire tiny electrical signals. For some time now, we\u2019ve had the tech to sense and translate those biochemical thunderstorms, decoding the language of the brain. To do this, researchers use a brain-computer interface (BCI), a wearable array of sensors that can capture these inputs and translate them to a computer. This has allowed incredible breakthroughs like the mind-controlled prosthetics we\u2019ve written about before.<\/p>\n<p>In this case, the CSAIL team wanted the BCI to look for &#8220;error-related potentials&#8221; (ErrPs) that our brains produce automatically when we make a mistake or see someone else make one. The idea was pretty simple: if a supervisor wears a BCI, when they see a robot make an error, the machine will get automatic feedback, essentially learning to speak human.<\/p>\n<p>&#8220;I see it in use for any complex human-machine interaction where most of the burden is on the machine side, because of its capacity to do tasks almost autonomously, and humans are simply supervising,&#8221; <a href=\"https:\/\/www.livescience.com\/58147-brain-controlled-robots-safer-self-driving-cars.html\">says<\/a> Jos\u00e9 del R. Mill\u00e1n, an associate professor at the \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne. And as we look toward a future driven by automated cars, this kind of research is shaping the design of driverless cars.<\/p>\n<h2>Nissan\u2019s Brain-To-Vehicle system is keeping the person in charge of automated driving<\/h2>\n<p>Daniele Schillaci, an executive vice president at Nissan, wants to change your picture of the future of driverless cars. &#8220;When most people think about autonomous driving, they have a very impersonal vision of the future, where humans relinquish control to the machines,&#8221; he says. &#8220;B2V technology does the opposite.&#8221;<\/p>\n<p>Nissan\u2019s vision is BCI-assisted driving, augmented by artificial intelligence (AI). Imagine driving on a motorway. You see an accident ahead, and need to brake quickly and steer sharply into another lane. Nissan\u2019s B2V system would recognise these thoughts and begin the required manoeuvres before your hands and feet could react, increasing reaction time by as much as half a second. That may not sound like much, but at motorway speeds, that can mean 17 metres &#8211; the difference between emergency avoidance and a collision.<\/p>\n<p><iframe title=\"Nissan&#039;s Brain to Vehicle Concept first look at CES 2018\" width=\"800\" height=\"450\" src=\"https:\/\/www.youtube.com\/embed\/Tn8YA8eV3as?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen><\/iframe><\/p>\n<h2>Will the technical challenges prove too much?<\/h2>\n<p>But no one\u2019s sure exactly how this system will function in practice &#8211; details are scarce at this point. One problem is that wearing a BCI is, at present, like sporting a wired colander on your head, hardly a pleasant experience for daily driving. Nissan is aware of this obstacle to marketability, and a representative <a href=\"https:\/\/www.theverge.com\/2018\/1\/3\/16844648\/nissan-brain-to-vechicle-self-driving-car-technology-eeg\">told<\/a> <em>The Verge<\/em> that the proposed \u201cdevice is easy to wear, lightweight and features high-performance dry-sensors. We made the device wireless so the driver will hardly know it\u2019s there when it\u2019s worn.\u201d<\/p>\n<p>There are also profound technical challenges to what Nissan proposes. &#8220;The brain is used for all sorts of things, so sorting out the signal you want from the noise of other brain activity is often difficult,&#8221; <a href=\"https:\/\/www.nbcnews.com\/mach\/science\/nissan-paves-way-cars-read-your-mind-ncna834811\">cautioned<\/a> Dr Chris Gerdes, a professor at Stanford University\u2019s School of Engineering. No one\u2019s yet sure how Nissan plans to quiet that noise and hear what the driver\u2019s brain intends to do. But don\u2019t let that dampen your enthusiasm. This is early-stage work, and that same Nissan rep warned <em>The Verge\u2019s<\/em> Sean O\u2019Kane not to expect this system anytime soon. \u201cIt\u2019s something that\u2019s being shown in a relatively early phase, and is not yet close to implementation\u2026 We are aiming for practical application in 5 to 10 years.\u201d<\/p>\n<h2>Critics are worried about privacy, too<\/h2>\n<p>But critics like Dr Jim Sayer, the director of the University of Michigan Transportation Research Institute, aren\u2019t convinced. &#8220;Anything that would require the driver to wear any type of sensor would be deemed intrusive,&#8221; <em>NBC News<\/em> <a href=\"https:\/\/www.nbcnews.com\/mach\/science\/nissan-paves-way-cars-read-your-mind-ncna834811\">reported<\/a>. Because a BCI is designed to read your mind, he\u2019s concerned about what else it might know about you. &#8220;I think that some drivers might also wonder what other thoughts are being monitored. So I&#8217;m not too sure about the practicalities of the technology&#8217;s adoption,\u201d he <a href=\"https:\/\/www.nbcnews.com\/mach\/science\/nissan-paves-way-cars-read-your-mind-ncna834811\">explains<\/a>.<\/p>\n<p>These concerns notwithstanding, Nissan\u2019s B2V system is a stunning re-imagination of automated driving. For many consumers, the idea of a car driving itself is just too much. Nissan is responding to that concern before it stalls the driverless car movement, and with its exciting experiments, is charting a path to a future in which drivers retain control over their automated vehicles.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>MIT\u2019s Computer Science and Artificial Intelligence Laboratory took the first steps Nissan\u2019s Brain-To-Vehicle system is keeping the person in charge of automated driving Will the technical challenges prove too much? Critics are worried about privacy, too The driverless car revolution is nearly here. Soon, smart algorithms will be able to do the hard work for [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":45409,"parent":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_coblocks_attr":"","_coblocks_dimensions":"","_coblocks_responsive_height":"","_coblocks_accordion_ie_support":"","footnotes":""},"categories":[2886],"tags":[4218],"article-type":[],"trends":[5488],"class_list":["post-57924","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-transportation","tag-future","trends-autonomous-vehicles-en"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Nissan\u2019s Brain-to-Vehicle system might soon allow your car to read your mind - Richard van Hooijdonk Blog<\/title>\n<meta name=\"description\" content=\"Nissan\u2019s new B2V system might soon allow your car to read your 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