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[CVPR2022] Geometric Transformer for Fast and Robust Point Cloud Registration
Distortion correction of single image without checkerboard calibration.
[ICCV 2023] P2C: Self-Supervised Point Cloud Completion from Single Partial Clouds
Mask3D predicts accurate 3D semantic instances achieving state-of-the-art on ScanNet, ScanNet200, S3DIS and STPLS3D.
[ECCV2022] Gen6D: Generalizable Model-Free 6-DoF Object Pose Estimation from RGB Images
Don’t Shake the Wheel: Momentum-Aware Planning in End-to-End Autonomous Driving
Official implementation of Continuous 3D Perception Model with Persistent State
[NeurIPS 2024] NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking
Standalone GUI application to enhance RoadRunner maps with traffic lights and traffic signs information.
[ECCV2024 Oral🔥] Official Implementation of "GiT: Towards Generalist Vision Transformer through Universal Language Interface"
[CVPR2024] Code for "SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation".
MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision
Official repo and evaluation implementation of VSI-Bench
Texas DPS/DMV Automatic Scheduler
Visualize streams of multimodal data. Free, fast, easy to use, and simple to integrate. Built in Rust.
[IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving
Awesome LLM Books: Curated list of books on Large Language Models
BEVFormer, UniAD, VAD in Closed-Loop CARLA Evaluation with World Model RL Expert Think2Drive
[PAMI'23] TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving; [CVPR'21] Multi-Modal Fusion Transformer for End-to-End Autonomous Driving
[ICCV'23] Hidden Biases of End-to-End Driving Models
A simple offline multi-Ego and multi-sensor data generation script for the CARLA simulator.
Official implementation of the paper "HUGSIM: A Real-Time, Photo-Realistic and Closed-Loop Simulator for Autonomous Driving"
A toolbox for target-less LiDAR-camera calibration [ROS1/ROS2]
(ITSC 2021) Optimising the selection of samples for robust lidar camera calibration. This package estimates the calibration parameters from camera to lidar frame.
Official PyTorch implementation for a conditional diffusion probability model in BEV perception
GenZ-ICP: SOTA robust LiDAR odometry (IEEE RA-L 2024)