Ideal to be reality! Wu Enda announced that Drive.ai started unmanned service

category:Internet
 Ideal to be reality! Wu Enda announced that Drive.ai started unmanned service


NetEase intelligence (public number smartman163) The author, Xiao Yi, Rosie In May 7th, Drive.ai, the Silicon Valley unmanned car venture, announced that it would provide auto driving service in Fries, Texas, in July 2018. This may be the first real autopilot manned service in the United States, and it also marks the first opportunity for the public to use autopilot service on public roads. Meanwhile, Wu Enda, director of Drive.ai, has also published an open letter about the key factors and future development of autopilot landing. #endText.video-infoa{text-decoration:none; color:#000;}#endText.video-infoa:hover{color:#d34747;}#endText.video-listli{overflow:hidden; float:left; list-style:none; width:132px; height:118px; position:relative; margin:8px3px0px0px; margin:8px3px0px0px; #endText.video-lista:visited{text-decoration:none; #endText.video-lista:visited{text-decoration:none; Or:#fff;}#endText.video-list.overlay{text-align:left; padding:0px6px; background-color:#313131; font-size:12px; width:120px; position:absolute; bottom:0px; left:0px; height:26px; line-height:26px; overflow:hidden; : 20px; height:20px; background:url (http://img1.cache.netease.com/video/img14/zhuzhan/play.png); position:absolute; right:12px; top:62px; opacity:0.7; color:#fff; filter:alpha (opacity=70); _background:none; 14/zhuzhan/play.png );}#endText.video-lista:hover.play{opacity:1; filter:alpha (opacity=100); _filter:progid:DXImageTransform.Microsoft.AlphaImageLoader (src= http://img1.cache.netease.com/video/img14/zhuzhan/play.png );}if (/ (iPhone|iPad|iPod|Android|NETEASEBOBO|blackberry|bbd+) /ig.test (navigator.user) Agent) ||/safari|chrome|firefox/i.test (navigator.userAgent) &&navigator.plugins&&! Navigator.plugins[ShockwaveFlash]) {varstr1= your browser is temporarily unable to play this video.; document.getElementById ( FPlayer1404863609673 ).ParentNode.innerHTML=str1+str2;}Drive.ai autopilot service landing (source: NetEase technology channel) win Dow.NTES&&function (d) {varf=function (c) {varb=c.getAttribute (flashvars), a=c.getAttribute (repovideourl).Replace (.Flv, -mobile.mp4). Ways quality= high wmode= opaque width= 100% height= 100% type= application/x-shockwave-flash / >; if (/ iPhone|iPad|iPod|Android|NETEASEBOBO|blackberry|bbd+) /ig.test. }h.$(.Video) [0].innerHTML=g;}, e=function (b) {vara=d (b.parentNode.parentNode.parentNode); a.$(Li).RemoveCss (on). Te (href, b.getAttribute (URL)), a.$(.Video-from) [0].innerHTML= (source: +b.getAttribute (source) + ), f (b),}; window.continuePlay=function. T:function () {if (.Video-listli) [0]) {d (d (.Video-listli) [0]).AddCss (on), this.eventBind ();};};};};};};}; Drive.ai autopilot auto service landing (source: NetEase science and technology channel) Detailed explanation of Drive.ai and automatic driving service landing program Drive.ai is an autopilot car company. Its team members are mainly from Stanford University. At present, there are 8 founders. Carol Riley (CarolReiley), President of the company, is one of the 8 founders, and she has another identity as the wife of AI Daniel Wu Enda; the company CEO is SameepTandon, from Wu Enda when he was studying at the Stanford University. In June 2017, Drive.ai received $50 million in B round of financing, while announcing that Wu Enda, who had left Baidu, joined the board of directors of Drive.ai. Drive.ai founding team members According to the introduction, Drive.ai is committed to changing the relationship between people and traffic. The company uses deep learning and other methods to develop an integrated software and hardware solution that is scalable and can adapt to various vehicles and environments. Drive.ais announced autopilot service is an on-demand service program with the local government (the Fries Association of traffic management associations) in specific areas (such as industrial parks). In an open letter, Wu Enda elaborated on the three stages of the implementation of the Drive.ai autopilot service landing scheme: The second stage, when road tests indicate that the service is secure, Drive.ai will work with the guardian. In other words, at that time, the Drive.ais guard will be in the car, the main task is to help passengers and monitoring operations, but will not sit on the drivers seat, so it will not take over autopilot. In the third stage, no other staff or guards will be installed in the vehicle to provide assistance only for passengers and long-distance driving systems. Wu Enda expounds three key factors for the landing of an autopilot car. In the open letter, Wu Enda elaborated three key factors of autopilot landing and Drive.ais practice. The first key factor is technology. Wu Enda believes that autopilot really wants to fall to the ground and needs to master the industrys leading AI and deep learning technologies, including highly skilled AI teams, and complex software and hardware architectures. Drive.ai has a powerful technical team that has developed a complete software stack, including internal perception, motion planning, mapping, localization, team management software, mobile applications, communications, and remote assistance systems, creating a complete set of automatic driving software systems. Wu Enda and Drive.ai two co founders The second factor is partnership. We need to be good at deploying cooperation with the public sector and the private sector. As a skilled artificial intelligence team, the Drive.ai has a clear view of the limitations of AI, and they know how to build realistic solutions within the limits of current technology, Wu Enda said. The third and most important factor is safety. The safety of self driving cars must be human centered. Wu Enda believes that the safety of people centred not only concerns the people inside the car, but also the people outside the vehicle, emphasizing the importance of communication and education. In terms of security, Drive.ai has done a lot of pioneering work, such as placing significant information signs on a trial operation route, painting a vehicle into a bright orange color to distinguish between auto driving cars and ordinary cars, vehicles outside the vehicle and direct seeding and driving routes to pedestrians and other drivers. Drive.ai displays the display on the body to remind pedestrians and other vehicles. Autopilot and the future of Drive.ai Wu Enda said that although the autopilot service is completely landing there is still much work to do, but its future is clear. Wu Enda said that autopilot has obvious advantages compared with human driving, and there are obvious weaknesses. The advantage is that autopilot is more focused than human attention, the reaction time is less than 100 milliseconds faster, and there is no blind spot; the weakness is that the autopilot does not understand the complex situation, such as the sudden situation on the road and the communication of gestures. By selecting specific geographical areas and working with partners, we can take advantage of self driving cars while reducing their weaknesses. With these strategies, people can use autopilot to deploy safe and valuable transport services, and this industry will accelerate its maturity. As for the development plan of Drive.ai, the founder of the company, founder of the company, said that the first is to do a good job of Dezhou, the first stage of completion, will gradually expand to the surrounding communities. In addition, the next step will be to expand services, add more paths and more connections, such as business parks, shopping areas, restaurants, hotels and so on. To sum up, it is to make a model of Dezhous project and then scale up it. NetEase intelligence has made an exclusive interview with Drive.ai co founder Wang Chao for the first time. The important information is as follows: Wang: our customers are employees in this area, mainly to solve the traffic microcirculation from company to eating place for them. Our model is B2B2C, and the companys employees can fill in our web site and download APP to use this service after working with local governments and companies. We will provide a limited geographical range, multiple points of the free permutation, distribution according to needs, you can understand this service into an independent private bus. NetEase Intelligence: how many cars will be deployed at the initial stage of the project? What is the speed per hour? Wang Tao: the initial deployment of the vehicle is three to four vehicles, which is a dual purpose van, which can reach 40-50 kilometers per hour. NetEase Intelligence: does this landing sign indicate that Drive.ai has already achieved the L4 level manned unmanned vehicle landing? Wang Tao: to the third stage, it can be said to have landed at L4 level. NetEase Intelligence: can you disclose the financing and staff situation of Drive.ai? Wang Tao: Drive.ai now has two rounds of total financing of 77 million US dollars. The company has an office in mountain view city in California and Fries, Texas, with about 120 employees, most of which are engineering R & D personnel, and will expand to a team of 170 this year. NetEase Intelligence: Recently, many unmanned vehicle accidents have occurred in the United States. How can you avoid these accidents to the maximum extent? Wang Tao: in addition to technology, I think the most important thing is to work with partners, including local governments and communities, to create an environment for unmanned vehicles, including unmanned vehicle road signs, unmanned cars painted into significant colors, outside the body to prevent communication screens, and so on, and the operation and decision-making mechanism of unmanned vehicles. Science popularization can increase the publics understanding of self driving cars, and can significantly reduce the number of unmanned vehicle accidents. NetEase Intelligence: before Drive.ai, how did we achieve the goal of releasing a driverless vehicle? Wang Tao: first of all, hardware is reliable and waterproof, followed by positioning system and sensing system to build a deep learning model in wet environment. Again, we used a variety of sensor fusion solutions such as camera, laser radar, millimeter wave radar and so on. At the same time, we trained the data of a number of rainy days. But at present, its only in rainy days, if its snowing heavily, it wont work. NetEase Intelligence: Drive.ai in the realization of driverless, the future is to take the market after loading? Wang: our premise, aftermarket, is that we do not build cars, and we do not pursue the deep integration of automatic driving technology with cars. What we are concerned about at present is whether the vehicle itself is enough or conspicuous to further improve the safety of automatic driving. As for what mode to go in the future, it has not been determined yet. NetEase Intelligence: does Drive.ai have a plan to enter China? Wang: China is a big market, but we have no plans to enter China at present. (end) pay attention to NetEase intelligent public address (smartman163), for you to interpret big events, new ideas and new applications in AI field. Source: NetEase intelligent editor: Ding Guang Sheng _NT1941 Wang: our premise, aftermarket, is that we do not build cars, and we do not pursue the deep integration of automatic driving technology with cars. What we are concerned about at present is whether the vehicle itself is enough or conspicuous to further improve the safety of automatic driving. As for what mode to go in the future, it has not been determined yet. NetEase Intelligence: does Drive.ai have a plan to enter China? Wang: China is a big market, but we have no plans to enter China at present. (finish) Pay attention to NetEase intelligent public address (smartman163), to interpret the big events, new ideas and new applications of large companies in AI field.