🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey

Semantic Guided Depth Estimation with Transformers Using Monocular Camera and Sparse Radar

A project demonstrating Lidar related AI solutions, including three GPU accelerated Lidar/camera DL networks (PointPillars, CenterPoint, BEVFusion) and the related libs (cuPCL, 3D SparseConvolution…

国内首个占据栅格网络全栈课程《从BEV到Occupancy Network，算法原理与工程实践》，包含端侧部署。Surrounding Semantic Occupancy Perception Course for Autonomous Driving (docs, ppt and source code) 在线课程主页：https://111.229.117.200:8100/ (作者独立搭建)

Short course about self-driving cars

Repo containing Notebooks, scripts related to Neural Optimization course on thinkautonomous.ai

voxelnet on ASTYX radar dataset for automotive object detection

visualization of ASTYX automotive dataset (radar/lidar/camera)

This repository can transform the astyx HiRes2019 Dataset into Kitti format, This is not an official tool.

This Trainer makes development of Pytorch training extremely easy and fast while making it as generic as possible from project to project.

Neural Networks: Zero to Hero

The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"

Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)

Unofficial PyTorch implementation of "RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving" (ECCV 2020)

[CVPR 2024] RCBEVDet: Radar-camera Fusion in Bird’s Eye View for 3D Object Detection

Unofficial PyTorch implementation of the paper: "CenterNet3D: An Anchor free Object Detector for Autonomous Driving"

Python sample codes for robotics algorithms.

Jupyter notebook tutorials for MMTracking

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

A computer vision closed-loop learning platform where code can be run interactively online. 学习闭环《计算机视觉实战演练：算法与应用》中文电子书、源码、读者交流社区（持续更新中 ...） 📘 在线电子书 https://charmve.github.io/computer-vision-in-acti…

PyTorch implementation for 3D Bounding Box Estimation Using Deep Learning and Geometry

3D Bounding Box Estimation Using Deep Learning and Geometry (MultiBin)

YOLO 3D Object Detection for Autonomous Driving Vehicle

End-to-End learning to train a simulated car keep on the track without crash

Implementations of vanilla RNN and LSTM from scratch.