Weihuang Chen

Orcid: 0009-0006-7852-9299

According to our database1, Weihuang Chen authored at least 11 papers between 2021 and 2025.

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

Timeline

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Links

On csauthors.net:

Bibliography

2025
IM Planner: Efficient Path Planner Based on Incremental Patch Map in Unknown Environment.
IEEE Trans. Instrum. Meas., 2025

Tightly Coupled Multifactor Optimization-Based Hybrid Visual Localization for UAV.
IEEE Trans. Instrum. Meas., 2025

2024
Motion Planning Using Feasible and Smooth Tree for Autonomous Driving.
IEEE Trans. Veh. Technol., May, 2024

EATNet: Efficient Axial Transformer Network for End-to-end Autonomous Driving.
Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

HVUE Planner: 3D UAV Path Planner Using Hierarchical Visibility Graph in Unknown Environments.
Proceedings of the Intelligent Robotics and Applications - 17th International Conference, 2024

A Compact Dead-Zone-Free Multi-Channel Stimulation and Recording System for Precision Peripheral Nerve Modulation.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

Fully autonomous cognitive behavioral training for free moving mouse in home-cage.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2024

2023
Multimodal Pedestrian Trajectory Prediction Using Probabilistic Proposal Network.
IEEE Trans. Circuits Syst. Video Technol., June, 2023

Continuous Decoding of Movement Trajectory During Unimanual Movement Using Bilateral Motor Cortex Signals.
Proceedings of the 10th International Conference on Biomedical and Bioinformatics Engineering, 2023

2022
Multiple Goals Network for Pedestrian Trajectory Prediction in Autonomous Driving.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2021
S2TNet: Spatio-Temporal Transformer Networks for Trajectory Prediction in Autonomous Driving.
Proceedings of the Asian Conference on Machine Learning, 2021


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