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[ICCV 2023] SurroundOcc: Multi-camera 3D Occupancy Prediction for Autonomous Driving
Official PyTorch implementation of FB-BEV & FB-OCC - Forward-backward view transformation for vision-centric autonomous driving perception
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：http://111.229.117.200:8100/ (作者独立搭建)
[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Unofficial implementation of "Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splatting", ECCV2024.
Official Implementation of Self-Supervised Street Gaussians for Autonomous Driving
Official Repository of "SemAttNet: Towards Attention-based Semantic Aware Guided Depth Completion"
Generate dense depth map for monocular depth estimation task on KITTI dataset.
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
Periodic Vibration Gaussian: Dynamic Urban Scene Reconstruction and Real-time Rendering
[ICCV 2023] StreamPETR: Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection
BEVDet online real-time inference using CUDA, TensorRT, ROS1 & C++.
This repository is used to collect NeRF papers on autonomous driving
[ICLR 2024] Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splatting
[CVPR 2024] Official implementation of "Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruction"
[CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering
[ECCV 2024] Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splatting
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
Fast-BEV: A Fast and Strong Bird’s-Eye View Perception Baseline
Samples for TensorRT/Deepstream for Tesla & Jetson
A fast object tracking method by using JPDA-IMM-UKF.
3D detection and tracking viewer (visualization) for kitti & waymo dataset
A project for 3D multi-object tracking
Source code for JRMOT: A Real-Time 3D Multi-Object Tracker and a New Large-Scale Dataset