首页|Studies from Tongji University Have Provided New Data on Robotics and Automation (Ms-net: a Multi-path Sparse Model for Motion Prediction In Multi-scenes)
Studies from Tongji University Have Provided New Data on Robotics and Automation (Ms-net: a Multi-path Sparse Model for Motion Prediction In Multi-scenes)
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 Daily News – Researchers detail new data in Robotics - Robotics and Automation. According tonews reporting originating from Shanghai, People’s Republic of China, by NewsRx correspondents, researchstated, “The multi-modality and stochastic characteristics of human behavior make motion prediction ahighly challenging task, which is critical for autonomous driving. While deep learning approaches havedemonstrated their great potential in this area, it still remains unsolved to establish a connection betweenmultiple driving scenes (e.g., merging, roundabout, intersection) and the design of deep learning models.”
ShanghaiPeople’s Republic of ChinaAsiaRobotics and AutomationRoboticsTongji University
NETL
NSTL
