MVLidarNet: Real-Time Multi-Class Scene Understanding for Autonomous Driving Using Multiple Views
Ke Chen,Ryan Oldja,Nikolai Smolyanskiy,Stan Birchfield,Alexander Popov,David Wehr,Ibrahim Eden,Joachim Pehserl,Ke Chen,Ryan Oldja,Nikolai Smolyanskiy,Stan Birchfield,Alexander Popov,David Wehr,Ibrahim Eden,Joachim Pehserl
Autonomous driving requires the inference of actionable information such as detecting and classifying objects, and determining the drivable space. To this end, we present Multi-View LidarNet (MVLidarNet), a two-stage deep neural network for multi-class object detection and drivable space segmentation using multiple views of a single LiDAR point cloud. The first stage processes the point cloud proj...
