Self-Supervised Drivable Area Segmentation Using LiDAR's Depth Information for Autonomous Driving
Fulong Ma,Yang Liu,Sheng Wang,Jin Wu,Weiqing Qi,Ming Liu,Fulong Ma,Yang Liu,Sheng Wang,Jin Wu,Weiqing Qi,Ming Liu
Drivable area segmentation is an essential component of the visual perception system for autonomous driving vehicles. Recent efforts in deep neural networks have sig-nificantly improved semantic segmentation performance for autonomous driving. However, most DNN-based methods need a large amount of data to train the models, and collecting large-scale datasets with manually labeled ground truth is c...
