Analyzing relationships between latent topics in autonomous vehicle crash narratives and crash severity using natural language processing techniques and …

P Li, S Chen, L Yue, Y Xu, DA Noyce - Accident Analysis & Prevention, 2024 - Elsevier
Safety is one of the most essential considerations when evaluating the performance of
autonomous vehicles (AVs). Real-world AV data, including trajectory, detection, and crash …

Localization of Autonomous Vehicles in Tunnels Based on Roadside Multi-sensor Fusion

K Zhu, S Chen, J Shi, Z Zhu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Tunnels present significant challenges for the navigation and localization of autonomous
vehicles due to the lack of GNSS signals and the presence of uniform scene textures …

Toward C-V2X Enabled Connected Transportation System: RSU-Based Cooperative Localization Framework for Autonomous Vehicles

Z Huang, S Chen, Y Pian, Z Sheng… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
An accurate and robust localization system is crucial for autonomous vehicles (AVs) to
enable safe driving in urban scenes. While existing global navigation satellite system …

V2X-BGN: Camera-based V2X-Collaborative 3D Object Detection with BEV Global Non-Maximum Suppression

C Zhang, B Tian, S Meng, S Qi, Y Sun… - 2024 IEEE Intelligent …, 2024 - ieeexplore.ieee.org
In recent years, research on Vehicle-to-Everything (V2X) cooperative perception algorithms
mainly focuses on the fusion of intermediate features from LiDAR point clouds. Since the …

A Learning-Based Integrated Framework of Motion Prediction and Planning for Connected and Automated Vehicles: Towards Interaction, Multi-Modality, and …

K Wu - 2024 - search.proquest.com
Predicting vehicle trajectories and ensuring safe and efficient trajectory planning are critical
for the operational efficiency and safety of automated vehicles, especially on congested …