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Pseudo-LiDAR for 3D Object Detection by Pradyumna Sharma is a document available to read on EtoBox.

What is Pseudo-LiDAR for 3D Object Detection about?

The document proposes a new approach called pseudo-LiDAR that converts estimated depth maps from stereo images into 3D point clouds to improve 3D object detection for autonomous vehicles. It finds that previous methods using estimated depth directly in images were less accurate than LiDAR-based methods due to the representation of depth. Pseudo-LiDAR representation achieves unprecedented accuracy improvements on the KITTI benchmark, nearly closing the gap with LiDAR-based detection.

Author

Pradyumna Sharma

Language

EN