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Multi-View 3D Object Detection Network for Autonomous Driving
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"
This is a ros package that implement the SqueezeSeg
Frustum PointNets for 3D Object Detection from RGB-D Data
A PyTorch Implementation of Single Shot MultiBox Detector
Resources with code. Inspired by pwc(https://github.com/zziz/pwc)
Simple, online, and realtime tracking of multiple objects in a video sequence.
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
Simple Online Realtime Tracking with a Deep Association Metric
机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶
A resource repository for 3D machine learning
Demonstrate all the questions on LeetCode in the form of animation.(用动画的形式呈现解LeetCode题目的思路)
(CVPR 2019) Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving
tensorflow2中文教程,持续更新(当前版本:tensorflow2.0),tag: tensorflow 2.0 tutorials
Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups. ROS Package.
A curated list of awesome data labeling tools
PyTorch implementation for 3D Bounding Box Estimation Using Deep Learning and Geometry
Code for 3D object detection for autonomous driving
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud, CVPR 2019.
An example of a hybrid python/C++ package with unit tests
cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集,极市团队整理
SECOND for KITTI/NuScenes object detection
LiDAR point cloud ground filtering / segmentation (bare earth extraction) method based on cloth simulation