Lei Yang

Orcid: 0000-0003-1800-6892

Affiliations:
  • Tsinghua University, School of Vehicle and Mobility, State Key Laboratory of Automotive Safety and Energy, Beijing, China
  • JD.com, Autonomous Driving Research and Development Department, China (2018-2020)


According to our database1, Lei Yang authored at least 40 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2025
SGV3D: Toward Scenario Generalization for Vision-Based Roadside 3D Object Detection.
IEEE Trans. Intell. Transp. Syst., August, 2025

Breaking Imitation Bottlenecks: Reinforced Diffusion Powers Diverse Trajectory Generation.
CoRR, July, 2025

BEVHeight++: Toward Robust Visual Centric 3D Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2025

S2R-Bench: A Sim-to-Real Evaluation Benchmark for Autonomous Driving.
CoRR, May, 2025

Two Tasks, One Goal: Uniting Motion and Planning for Excellent End To End Autonomous Driving Performance.
CoRR, April, 2025

Fuzzy-NMS: Improving 3D Object Detection With Fuzzy Classification in NMS.
IEEE Trans. Intell. Veh., January, 2025

FMRT: Learning Accurate Feature Matching With Reconciliatory Transformer.
IEEE Trans Autom. Sci. Eng., 2025

Don't Shake the Wheel: Momentum-Aware Planning in End-to-End Autonomous Driving.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

TraF-Align: Trajectory-aware Feature Alignment for Asynchronous Multi-agent Perception.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
RoadBEV: Road Surface Reconstruction in Bird's Eye View.
IEEE Trans. Intell. Transp. Syst., November, 2024

MonoGAE: Roadside Monocular 3D Object Detection With Ground-Aware Embeddings.
IEEE Trans. Intell. Transp. Syst., November, 2024

Robustness-Aware 3D Object Detection in Autonomous Driving: A Review and Outlook.
IEEE Trans. Intell. Transp. Syst., November, 2024

GraphAlign++: An Accurate Feature Alignment by Graph Matching for Multi-Modal 3D Object Detection.
IEEE Trans. Circuits Syst. Video Technol., April, 2024

AttentionTrack: Multiple Object Tracking in Traffic Scenarios Using Features Attention.
IEEE Trans. Intell. Transp. Syst., February, 2024

SparseDet: A Simple and Effective Framework for Fully Sparse LiDAR-Based 3-D Object Detection.
IEEE Trans. Geosci. Remote. Sens., 2024

V2X-Radar: A Multi-modal Dataset with 4D Radar for Cooperative Perception.
CoRR, 2024

ContrastAlign: Toward Robust BEV Feature Alignment via Contrastive Learning for Multi-Modal 3D Object Detection.
CoRR, 2024

Towards Scenario Generalization for Vision-based Roadside 3D Object Detection.
CoRR, 2024

RoboFusion: Towards Robust Multi-Modal 3D obiect Detection via SAM.
CoRR, 2024

RoboFusion: Towards Robust Multi-Modal 3D Object Detection via SAM.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

GraphBEV: Towards Robust BEV Feature Alignment for Multi-modal 3D Object Detection.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
CAMO-MOT: Combined Appearance-Motion Optimization for 3D Multi-Object Tracking With Camera-LiDAR Fusion.
IEEE Trans. Intell. Transp. Syst., November, 2023

Mix-Teaching: A Simple, Unified and Effective Semi-Supervised Learning Framework for Monocular 3D Object Detection.
IEEE Trans. Circuits Syst. Video Technol., November, 2023

Multi-Modal 3D Object Detection in Autonomous Driving: A Survey and Taxonomy.
IEEE Trans. Intell. Veh., July, 2023

Multi-Modal and Multi-Scale Fusion 3D Object Detection of 4D Radar and LiDAR for Autonomous Driving.
IEEE Trans. Veh. Technol., May, 2023

Global Perception-Based Robust Parking Space Detection Using a Low-Cost Camera.
IEEE Trans. Intell. Veh., February, 2023

Intelligent Amphibious Ground-Aerial Vehicles: State of the Art Technology for Future Transportation.
IEEE Trans. Intell. Veh., January, 2023

Lite-FPN for keypoint-based monocular 3D object detection.
Knowl. Based Syst., 2023

Fuzzy-NMS: Improving 3D Object Detection with Fuzzy Classification in NMS.
CoRR, 2023

FMRT: Learning Accurate Feature Matching with Reconciliatory Transformer.
CoRR, 2023

Dual Radar: A Multi-modal Dataset with Dual 4D Radar for Autonomous Driving.
CoRR, 2023

MonoGAE: Roadside Monocular 3D Object Detection with Ground-Aware Embeddings.
CoRR, 2023

BEVHeight++: Toward Robust Visual Centric 3D Object Detection.
CoRR, 2023

GraphAlign: Enhancing Accurate Feature Alignment by Graph matching for Multi-Modal 3D Object Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
A Spatial-Motion-Segmentation Algorithm by Fusing EDPA and Motion Compensation.
Sensors, 2022

CAMO-MOT: Combined Appearance-Motion Optimization for 3D Multi-Object Tracking with Camera-LiDAR Fusion.
CoRR, 2022

Mix-Teaching: A Simple, Unified and Effective Semi-Supervised Learning Framework for Monocular 3D Object Detection.
CoRR, 2022

2021
IPS300+: a Challenging Multimodal Dataset for Intersection Perception System.
CoRR, 2021

Lite-FPN for Keypoint-based Monocular 3D Object Detection.
CoRR, 2021


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