Better Monocular 3D Detectors with LiDAR from the Past
Author:
Affiliation:
1. Cornell University,Computer Science Department
2. Cornell University,Mechanical and Aerospace Engineering Department
3. Ohio State University,Department of Computer Science and Engineering
Funder
Cornell Center for Materials Research
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10609961/10609862/10610444.pdf?arnumber=10610444
Reference53 articles.
1. BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
2. End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection
3. TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers
4. Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data
5. Pseudo-lidar++: Accurate depth for 3d object detection in autonomous driving;You
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