Stars
Official implementation of the paper "HUGSIM: A Real-Time, Photo-Realistic and Closed-Loop Simulator for Autonomous Driving"
Truncated Diffusion Model for Real-Time End-to-End Autonomous Driving
Pytorch implementation for "DeSiRe-GS: 4D Street Gaussians for Static-Dynamic Decomposition and Surface Reconstruction for Urban Driving Scenes"
PyTorch Implementation of Focal Loss and Lovasz-Softmax Loss
BEVFormer inference on TensorRT, including INT8 Quantization and Custom TensorRT Plugins (float/half/half2/int8).
Deformable DETR: Deformable Transformers for End-to-End Object Detection.
[CVPR2023] This is an official implementation of paper "DETRs with Hybrid Matching".
[RA-L 2024] GRIL-Calib: Targetless Ground Robot IMU-LiDAR Extrinsic Calibration Method using Ground Plane Motion Constraints
pytorch单精度、半精度、混合精度、单卡、多卡(DP / DDP)、FSDP、DeepSpeed模型训练代码,并对比不同方法的训练速度以及GPU内存的使用
Rapid Exploration with Multiple Unmanned Aerial Vehicles (UAV)
ICLR2024: LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection.
Production-grade 3D gaussian splatting with CPU/GPU support for Windows, Mac and Linux 🚀
A ROS package tool to analyze the IMU performance.
This repository is used to collect NeRF papers on autonomous driving
A collection of recent resources on End-to-End Autonomous Driving [survey accepted in IEEE TIV]
All about DeepLearning: 推荐系统、自然语言处理、Tensorflow、Pytorch等
3D Occupancy Prediction Benchmark in Autonomous Driving
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…
[CVPR 2023] An academic alternative to Tesla's occupancy network for autonomous driving.
[ICCV 2023] OpenOccupancy: A Large Scale Benchmark for Surrounding Semantic Occupancy Perception
[ICCV 2023] SurroundOcc: Multi-camera 3D Occupancy Prediction for Autonomous Driving
OpenPCSeg: Open Source Point Cloud Segmentation Toolbox and Benchmark