Perception Methods for Adverse Weather Based on Vehicle Infrastructure Cooperation System: A Review

J Wang, Z Wu, Y Liang, J Tang, H Chen - Sensors, 2024 - mdpi.com
Environment perception plays a crucial role in autonomous driving technology. However,
various factors such as adverse weather conditions and limitations in sensing equipment …

Advancing Vulnerable Road Users Safety: Interdisciplinary Review on V2X Communication and Trajectory Prediction

B Abdi, S Mirzaei, M Adl, S Hidajat… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The advancements in Intelligent Transportation Systems have brought a heightened focus
on safety, driven by innovative solutions like Vehicle-to-Everything (V2X) communication …

T4P: Test-Time Training of Trajectory Prediction via Masked Autoencoder and Actor-specific Token Memory

D Park, J Jeong, SH Yoon, J Jeong… - Proceedings of the …, 2024 - openaccess.thecvf.com
Trajectory prediction is a challenging problem that requires considering interactions among
multiple actors and the surrounding environment. While data-driven approaches have been …

Conditional Goal-Oriented Trajectory Prediction for Interacting Vehicles

D Li, Q Zhang, S Lu, Y Pan… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Predicting future trajectories of pairwise traffic agents in highly interactive scenarios, such as
cut-in, yielding, and merging, is challenging for autonomous driving. The existing works …

H-V2X: A Large Scale Highway Dataset for BEV Perception

C Liu, M Zhu, C Ma - European Conference on Computer Vision, 2025 - Springer
Abstract Vehicle-to-everything (V2X) technology has become an area of interest in research
due to the availability of roadside infrastructure perception datasets. However, these …

FARFusion V2: A Geometry-based Radar-Camera Fusion Method on the Ground for Roadside Far-Range 3D Object Detection

Y Li, J Deng, Y Xiao, Y Wang, X Chu, J Ji… - Proceedings of the 32nd …, 2024 - dl.acm.org
Fusing the data of millimeter-wave Radar sensors and high-definition cameras has emerged
as a viable approach to achieving precise 3D object detection for roadside traffic …