Chuheng Wei

Orcid: 0000-0002-0747-9398

According to our database1, Chuheng Wei authored at least 12 papers between 2022 and 2025.

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

Timeline

Legend:

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Bibliography

2025
Investigating Personalized Driving Behaviors in Dilemma Zones: Analysis and Prediction of Stop-or-Go Decisions.
IEEE Robotics Autom. Lett., October, 2025

HeCoFuse: Cross-Modal Complementary V2X Cooperative Perception with Heterogeneous Sensors.
CoRR, July, 2025

Integrating Multi-Modal Sensors: A Review of Fusion Techniques for Intelligent Vehicles.
CoRR, June, 2025

PDB: Not All Drivers Are the Same - A Personalized Dataset for Understanding Driving Behavior.
CoRR, March, 2025

Raw Camera Data Object Detectors: An Optimisation for Automotive Video Processing and Transmission.
IEEE Access, 2025

2024
RAF-RCNN: Adaptive Feature Transfer from Clear to Rainy Conditions for Improved Object Detection.
Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

KI-GAN: Knowledge-Informed Generative Adversarial Networks for Enhanced Multi-Vehicle Trajectory Forecasting at Signalized Intersections.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Feature Corrective Transfer Learning: End-to-End Solutions to Object Detection in Non-Ideal Visual Conditions.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Enhanced Object Detection by Integrating Camera Parameters into Raw Image-Based Faster R-CNN.
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023

Personalized Trajectory Prediction for Driving Behavior Modeling in Ramp-Merging Scenarios.
Proceedings of the Seventh IEEE International Conference on Robotic Computing, 2023

2022
Vehicle Detecting and Tracking Application Based on YOLOv5 and DeepSort for Bayer Data.
Proceedings of the 17th International Conference on Control, 2022

A Driver Distraction Detection Method Based on Convolutional Neural Network.
Proceedings of the 7th International Conference on Computer and Communication Systems, 2022


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