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Name: RickOnEarth
Type: User
Name: RickOnEarth
Type: User
[ECCV 2020] This is the official implementation of 3D-CVF: Generating Joint Camera and LiDAR Features Using Cross-View Spatial Feature Fusion for 3D Object Detection
This package estimates the calibration parameters that transforms the camera frame (parent) into the lidar frame (child)
CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection
KiTTI LiDAR-Camera Fusion, implemented using kitti_ros.
Dataset tools for working with the KITTI dataset raw data ( http://www.cvlibs.net/datasets/kitti/raw_data.php ) and converting it to a ROS bag. Also allows a library for direct access to poses, velodyne scans, and images.
ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"
Trained on Simulated Data, Tested in the Real World
OpenMMLab's next-generation platform for general 3D object detection.
Multi-View 3D Object Detection Network for Autonomous Driving
Convert pointpillars Pytorch Model To ONNX for TensorRT Inference
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
pointpillars based CLOCs
《ROS机器人开发实践》源码
SA-Det3D: Self-attention based Context-Aware 3D Object Detection (ICCV-AvVision-2021)
SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud, CVPR 2021.
SE-SSD(second/pointpillars) based fusion
PointPillars for KITTI object detection
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