Li Wang

Orcid: 0000-0002-9325-2391

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


According to our database1, Li Wang authored at least 45 papers between 2014 and 2025.

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Bibliography

2025
Steering Angle-Guided Multimodal Fusion Lane Detection for Autonomous Driving.
IEEE Trans. Intell. Transp. Syst., February, 2025

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

Oblique Convolution: A Novel Convolution Idea for Redefining Lane Detection.
IEEE Trans. Intell. Veh., February, 2024

FARP-Net: Local-Global Feature Aggregation and Relation-Aware Proposals for 3D Object Detection.
IEEE Trans. Multim., 2024

Auto-Points: Automatic Learning for Point Cloud Analysis With Neural Architecture Search.
IEEE Trans. Multim., 2024

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

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

An efficient and lightweight off-policy actor-critic reinforcement learning framework.
Appl. Soft Comput., 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

RI-Fusion: 3D Object Detection Using Enhanced Point Features With Range-Image Fusion for Autonomous Driving.
IEEE Trans. Instrum. Meas., 2023

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

SAT-GCN: Self-attention graph convolutional network-based 3D object detection for autonomous driving.
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

CO-Net: Learning Multiple Point Cloud Tasks at Once with A Cohesive Network.
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

Multi-sensor Fusion for Autonomous Driving
Springer, ISBN: 978-981-99-3279-5, 2023

2022
OpenMPD: An Open Multimodal Perception Dataset for Autonomous Driving.
IEEE Trans. Veh. Technol., 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

Fast Detection of Multi-Direction Remote Sensing Ship Object Based on Scale Space Pyramid.
Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022

InterFusion: Interaction-based 4D Radar and LiDAR Fusion for 3D Object Detection.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

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

S-AT GCN: Spatial-Attention Graph Convolution Network based Feature Enhancement for 3D Object Detection.
CoRR, 2021

RPFA-Net: a 4D RaDAR Pillar Feature Attention Network for 3D Object Detection.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

2019
Multi-Channel Convolutional Neural Network Based 3D Object Detection for Indoor Robot Environmental Perception.
Sensors, 2019

Multi-View Fusion-Based 3D Object Detection for Robot Indoor Scene Perception.
Sensors, 2019

Object-Aware Hybrid Map for Indoor Robot Visual Semantic Navigation.
Proceedings of the 2019 IEEE International Conference on Robotics and Biomimetics, 2019

2018
Visual Semantic Navigation Based on Deep Learning for Indoor Mobile Robots.
Complex., 2018

A Reinforced Topic-Aware Convolutional Sequence-to-Sequence Model for Abstractive Text Summarization.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Feature-Based and Convolutional Neural Network Fusion Method for Visual Relocalization.
Proceedings of the 15th International Conference on Control, 2018

2017
Research on service robots robust relocalization algorithm based on 2D/3D map of indoor environment.
Proceedings of the 18th International Conference on Advanced Robotics, 2017

2015
Unsupervised feature selection based on spectral regression from manifold learning for facial expression recognition.
IET Comput. Vis., 2015

2014
A Novel Automatic Facial Expression Recognition Method Based on AAM.
J. Comput., 2014

Feature Representation for Facial Expression Recognition Based on FACS and LBP.
Int. J. Autom. Comput., 2014

OLPP-based Gabor feature dimensionality reduction for facial expression recognition.
Proceedings of the IEEE International Conference on Information and Automation, 2014


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