Yunlong Wang

Orcid: 0000-0003-0439-9920

Affiliations:
  • Tsinghua University, School of Vehicle and Mobility, State Key Laboratory of Automotive Safety and Energy, Beijing, China


According to our database1, Yunlong Wang authored at least 27 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Temporal Range-Point-Voxel Fusion for Unified BEV Scene Perception and Motion Prediction.
IEEE Trans. Intell. Transp. Syst., May, 2026

XEmbodied: A Foundation Model with Enhanced Geometric and Physical Cues for Large-Scale Embodied Environments.
CoRR, April, 2026

2025
Toward Democratizing High-Definition Map Update Through Consortium Blockchain.
IEEE Trans. Intell. Transp. Syst., December, 2025

MTRDrive: Memory-Tool Synergistic Reasoning for Robust Autonomous Driving in Corner Cases.
CoRR, September, 2025

EvaDrive: Evolutionary Adversarial Policy Optimization for End-to-End Autonomous Driving.
CoRR, August, 2025

A Survey on Monocular Re-Localization: From the Perspective of Scene Map Representation.
IEEE Trans. Intell. Veh., April, 2025

Top-Down Attention-Based Mechanisms for Interpretable Autonomous Driving.
IEEE Trans. Intell. Transp. Syst., February, 2025

EFFOcc: Learning Efficient Occupancy Networks from Minimal Labels for Autonomous Driving.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

LEGO-Motion: Learning-Enhanced Grids with Occupancy Instance Modeling for Class-Agnostic Motion Prediction.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

Efficient End-to-end Visual Localization for Autonomous Driving with Decoupled BEV Neural Matching.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

PriorMotion: Generative Class-Agnostic Motion Prediction with Raster-Vector Motion Field Priors.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

A Survey on Vision-Language-Action Models for Autonomous Driving.
Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

2024
Poses as Queries: End-to-End Image-to-LiDAR Map Localization With Transformers.
IEEE Robotics Autom. Lett., January, 2024

PriorMotion: Generative Class-Agnostic Motion Prediction with Raster-Vector Motion Field Priors.
CoRR, 2024

High Definition Map Mapping and Update: A General Overview and Future Directions.
CoRR, 2024

EFFOcc: A Minimal Baseline for EFficient Fusion-based 3D Occupancy Network.
CoRR, 2024

StreamingFlow: Streaming Occupancy Forecasting with Asynchronous Multi-modal Data Streams via Neural Ordinary Differential Equation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

PanoSSC: Exploring Monocular Panoptic 3D Scene Reconstruction for Autonomous Driving.
Proceedings of the International Conference on 3D Vision, 2024

2023
SGFNet: Segmentation Guided Fusion Network for 3D Object Detection.
IEEE Robotics Autom. Lett., December, 2023

Multi-Session High-Definition Map-Monitoring System for Map Update.
ISPRS Int. J. Geo Inf., December, 2023

Reliable Autonomous Driving Environment Model With Unified State-Extended Boundary.
IEEE Trans. Intell. Transp. Syst., January, 2023

A Survey on Monocular Re-Localization: From the Perspective of Scene Map Representation.
CoRR, 2023

Poses as Queries: Image-to-LiDAR Map Localization with Transformers.
CoRR, 2023

FusionMotion: Multi-Sensor Asynchronous Fusion for Continuous Occupancy Prediction via Neural-ODE.
CoRR, 2023

2022
SRCN3D: Sparse R-CNN 3D Surround-View Camera Object Detection and Tracking for Autonomous Driving.
CoRR, 2022

BE-STI: Spatial-Temporal Integrated Network for Class-agnostic Motion Prediction with Bidirectional Enhancement.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
PandaSet: Advanced Sensor Suite Dataset for Autonomous Driving.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021


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