1 citations · 1 across the 2 of their papers we have counts for
6 papers
DarkDriving: A Real-World Day and Night Aligned Dataset for Autonomous Driving in the Dark Environment
Wuqi Wang, Haochen Yang, Baolu Li +7
The low-light conditions are challenging to the vision-centric perception systems for autonomous driving in the dark environment. In this paper, we propose a new benchmark dataset…
A Low-Rank Method for Vision Language Model Hallucination Mitigation in Autonomous Driving
Keke Long, Jiacheng Guo, Tianyun Zhang +2
Vision Language Models (VLMs) are increasingly used in autonomous driving to help understand traffic scenes, but they sometimes produce hallucinations, which are false details not…
Stealthy Multi-Task Adversarial Attacks
Jiacheng Guo, Tianyun Zhang, Lei Li +3
Deep neural networks are highly vulnerable to adversarial perturbations, raising serious safety concerns in the real-world systems. While prior work mainly explores single-task att…
EVD4UAV: An Altitude-Sensitive Benchmark to Evade Vehicle Detection in UAV
Huiming Sun, Jiacheng Guo, Zibo Meng +4
Vehicle detection in Unmanned Aerial Vehicle (UAV) captured images has wide applications in aerial photography and remote sensing. There are many public benchmark datasets proposed…
RXFOOD: Plug-in RGB-X Fusion for Object of Interest Detection
Jin Ma, Jinlong Li, Qing Guo +3
The emergence of different sensors (Near-Infrared, Depth, etc.) is a remedy for the limited application scenarios of traditional RGB camera. The RGB-X tasks, which rely on RGB inpu…
Deep Transfer Learning for Intelligent Vehicle Perception: a Survey
Xinyu Liu, Jinlong Li, Jin Ma +4
Deep learning-based intelligent vehicle perception has been developing prominently in recent years to provide a reliable source for motion planning and decision making in autonomou…