PointMoSeg: Sparse Tensor-Based End-to-End Moving-Obstacle Segmentation in 3-D Lidar Point Clouds for Autonomous Driving.
Yuxiang SunWeixun ZuoHuaiyang HuangPeide CaiMing LiuPublished in: IEEE Robotics Autom. Lett. (2021)
Keyphrases
- point cloud
- end to end
- autonomous driving
- structure from motion
- surface reconstruction
- point sets
- congestion control
- grand challenge
- lidar data
- high dimensional
- laser scanner
- point cloud data
- image segmentation
- image analysis
- computer vision
- vision algorithms
- multi hop
- stereo vision
- background subtraction
- mobile robot
- moving objects
- real time