1 citations · 1 across the 9 of their papers we have counts for
9 papers
DTP-Attack: A decision-based black-box adversarial attack on trajectory prediction
Jiaxiang Li, Jun Yan, Daniel Watzenig +1
Trajectory prediction systems are critical for autonomous vehicle safety, yet remain vulnerable to adversarial attacks that can cause catastrophic traffic behavior misinterpretatio…
MAP: End-to-End Autonomous Driving with Map-Assisted Planning
Huilin Yin, Yiming Kan, Daniel Watzenig
In recent years, end-to-end autonomous driving has attracted increasing attention for its ability to jointly model perception, prediction, and planning within a unified framework.…
Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition
Ruiyang Hao, Haibao Yu, Jiaru Zhong +16
With the rapid advancement of autonomous driving technology, vehicle-to-everything (V2X) communication has emerged as a key enabler for extending perception range and enhancing dri…
Adversarial Examples in Environment Perception for Automated Driving (Review)
Jun Yan, Huilin Yin
The renaissance of deep learning has led to the massive development of automated driving. However, deep neural networks are vulnerable to adversarial examples. The perturbations of…
WS-DETR: Robust Water Surface Object Detection through Vision-Radar Fusion with Detection Transformer
Huilin Yin, Pengyu Wang, Senmao Li +2
Robust object detection for Unmanned Surface Vehicles (USVs) in complex water environments is essential for reliable navigation and operation. Specifically, water surface object de…
Spatiotemporal Attention-Augmented Inverse Reinforcement Learning for Multi-Agent Task Allocation
Huilin Yin, Zhikun Yang, Linchuan Zhang +1
Adversarial inverse reinforcement learning (IRL) for multi-agent task allocation (MATA) is challenged by non-stationary interactions and high-dimensional coordination. Unconstraine…
Segment-Anything Models Achieve Zero-shot Robustness in Autonomous Driving
Jun Yan, Pengyu Wang, Danni Wang +3
Semantic segmentation is a significant perception task in autonomous driving. It suffers from the risks of adversarial examples. In the past few years, deep learning has gradually…
SA-Attack: Speed-adaptive stealthy adversarial attack on trajectory prediction
Huilin Yin, Jiaxiang Li, Pengju Zhen +1
Trajectory prediction is critical for the safe planning and navigation of automated vehicles. The trajectory prediction models based on the neural networks are vulnerable to advers…
Random Network Distillation Based Deep Reinforcement Learning for AGV Path Planning
Huilin Yin, Shengkai Su, Yinjia Lin +3
With the flourishing development of intelligent warehousing systems, the technology of Automated Guided Vehicle (AGV) has experienced rapid growth. Within intelligent warehousing e…