Lidar Point Cloud Guided Monocular 3D Object Detection
- 23 October 2022
- book chapter
- Published by Springer Nature
- p. 123-139
Abstract
No abstract availableKeywords
All Related Versions
This publication has 42 references indexed in Scilit:
- MonoGRNet: A Geometric Reasoning Network for Monocular 3D Object LocalizationProceedings of the AAAI Conference on Artificial Intelligence, 2019
- PointPillars: Fast Encoders for Object Detection From Point Clouds2019
- Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving2019
- Frustum PointNets for 3D Object Detection from RGB-D Data2018
- VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection2018
- Mask R-CNN2017
- 3D Object Proposals Using Stereo Imagery for Accurate Object Class DetectionIEEE Transactions on Pattern Analysis and Machine Intelligence, 2017
- Deep Residual Learning for Image Recognition2016
- Microsoft COCO: Common Objects in Context2014
- Are we ready for autonomous driving? The KITTI vision benchmark suite2012