Highlights
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Lists (25)
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2D Tracking
3D lane detection
3D Object Tracking
3D Occupancy Prediction
3D Reconstruction
3D Semantic Segmentation
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Autoware
BEV
Camera-Based 3D Detection
Deployment
Dev
End-to-end
Fusion
Image generation
Lidar-Based 3D Detection
LLM
Motion Forcasting
Occupancy and Flow Prediction
Planning
Semantic Segmentaion
SLAM
VLM
VLM Autonomous Driving
Stars
[Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion, 2026, AAAI]
[NeurIPS2025 Spotlight] Implementation of "GaussianFusion: Gaussian-Based Multi-Sensor Fusion for End-to-End Autonomous Driving"
Enhancing 3D Lane Detection and Topology Reasoning with 2D Lane Priors
[AAAI'26] BEVDilation: LiDAR-Centric Multi-Modal Fusion for 3D Object Detection
[NeurIPS24 Spotlight] Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object Detection
Fade3D : Fast and Deployable 3D Object Detection for Autonomous Driving (TITS2025)
[ICCV 2025 Highlight] Mamba-Fusion, Multi-modal 3D Object Detection
A ROS2 Demo for LiDAR Semantic Segmentation
Code for the Paper "Real Time Semantic Segmentation of High Resolution Automotive LiDAR Scans"
[CVPR2025] Implementation of "FSHNet: Fully Sparse Hybrid Network for 3D Object Detection"
[ECCV 2024] OPEN: Object-wise Position Embedding for Multi-view 3D Object Detection
RAP: 3D Rasterization Augmented End-to-End Planning
[NeurIPS 2024] Behavioral Topology (BeTop), a multi-agent behavior formulation for interactive motion prediction and planning
A unified library for object tracking featuring clean room re-implementations of leading multi-object tracking algorithms
[AAAI 2026] OpenDriveVLA: Towards End-to-end Autonomous Driving with Large Vision Language Action Model
RoboVerse: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning
Скрипт установки ядра x-ray с некоторыми улучшениями
[CVPR2025] Don’t Shake the Wheel: Momentum-Aware Planning in End-to-End Autonomous Driving
Highly accurate and efficient VSLAM system for Python
[ECCV 2024] A Simple and Effective 3D DETR in Point Clouds