LiDAR guided Small obstacle Segmentation

Understand

Detecting small obstacles on the road is critical for autonomous driving.

• In this paper, we present a method to reliably detect such obstacles through a multi-modal framework of sparse LiDAR(VLP-16) and Monocular vision.
• LiDAR is employed to provide additional context in the form of confidence maps to monocular segmentation networks.
• We show significant performance gains when the context is fed as an additional input to monocular semantic segmentation frameworks.