首页|Data from Indian Institute of Technology Roorkee Advance Knowledgein Self-Drivi ng Cars (Machine Learning for Autonomous Vehicle’sTrajectory Prediction: a Comp rehensive Survey, Challenges, and Future Research Directions)
Data from Indian Institute of Technology Roorkee Advance Knowledgein Self-Drivi ng Cars (Machine Learning for Autonomous Vehicle’sTrajectory Prediction: a Comp rehensive Survey, Challenges, and Future Research Directions)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Research findings on Transportation - Self-Drivin g Cars are discussed in a new report. Accordingto news reporting originating fr om Roorkee, India, by NewsRx correspondents, research stated, “Thesignificant c ontribution of human errors, accounting for approximately 94% (wit h a margin of +/- 2.2%),to road crashes leading to casualties, veh icle damages, and safety concerns necessitates the exploration ofalternative ap proaches. Autonomous Vehicles (AVs) have emerged as a promising solution by repl acinghuman drivers with advanced computer -aided decision -making systems.”
RoorkeeIndiaAsiaCyborgsEmerging TechnologiesMachineLearningReinforcement LearningSelf-Driving CarsTrans portationIndian Institute of Technology Roorkee.
NETL
NSTL
