MVLidarNet: Real-Time Multi-Class Scene Understanding for Autonomous Driving Using Multiple Views

no code implementations • 9 Jun 2020 • Ke Chen, Ryan Oldja, Nikolai Smolyanskiy, Stan Birchfield, Alexander Popov, David Wehr, Ibrahim Eden, Joachim Pehserl

We show that our multi-view, multi-stage, multi-class approach is able to detect and classify objects while simultaneously determining the drivable space using a single LiDAR scan as input, in challenging scenes with more than one hundred vehicles and pedestrians at a time.

Autonomous Driving object-detection +2