Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)
- 3d-object-detection
- lidar-point-cloud
- bevmap
- center
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Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)
A Modular Optimization framework for Localization and mApping (MOLA)
Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation
Intensity-based_Lidar_Camera_Calibration
Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving
Use LiDAR to map the static world