MultiXNet: Multiclass Multistage Multimodal Motion Prediction

2021 IEEE Intelligent Vehicles Symposium (IV)(2021)

引用 16|浏览106
暂无评分
摘要
One of the critical pieces of the self-driving puzzle is understanding the surroundings of a self-driving vehicle (SDV) and predicting how these surroundings will change in the near future. To address this task we propose MultiXNet, an end-to-end approach for detection and motion prediction based directly on lidar sensor data. This approach builds on prior work by handling multiple classes of traf...
更多
查看译文
关键词
Uncertainty,Laser radar,Intelligent vehicles,Urban areas,Object detection,Predictive models,Cameras
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要