Stars
GaRLIO: Gravity enhanced Radar-LiDAR-Inertial Odometry [ICRA 2025]
A unified library for object tracking featuring clean room re-implementations of leading multi-object tracking algorithms
Radar Camera Fusion in Autonomous Driving
SpatialLM: Training Large Language Models for Structured Indoor Modeling
[Lumina Embodied AI Community] 具身智能技术指南 Embodied-AI-Guide
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
[IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving
New repo collection for NVIDIA Cosmos: https://github.com/nvidia-cosmos
awesome-autonomous-driving
(T-IV) Radar4Motion: 4D Imaging Radar based IMU-free Odometry with Radar Cross Section (RCS) weighted Correspondences
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The open source implementation of 'Offline Tracking with Object Permanence', which aims to recover the occluded vehicle trajectories and reduce the identity switches caused by occlusions.
"SwinDepth: Unsupervised Depth Estimation using Monocular Sequences via Swin Transformer and Densely Cascaded Network" (ICRA 2023)
[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation
[ECCV 2022] Dynamic 3D Scene Analysis by Point Cloud Accumulation
Python implementation of "Global Data Association for MOT Tracking using Network Flows"
Official implementation: ICP-Flow: LiDAR Scene Flow Estimation with ICP (CVPR 2024).
Code for the IEEE Robotics and Automation Letters paper titled "Multi-Modal MPPI and Active Inference for Reactive Task and Motion Planning"
Double-Prong ConvLSTM for Spatiotemporal Occupancy Prediction in Dynamic Environments
[ICCV 2023] SurroundOcc: Multi-camera 3D Occupancy Prediction for Autonomous Driving
4D Radar Object Detection for Autonomous Driving in Various Weather Conditions
[ECCV2024] API code for T-Rex2: Towards Generic Object Detection via Text-Visual Prompt Synergy
Set of methods to ensemble boxes from different object detection models, including implementation of "Weighted boxes fusion (WBF)" method.
(T-IV, ITSC) Auto-labeling of point cloud sequences for 3D object detection using an ensemble of experts and temporal refinement