1 citations · 1 across the 16 of their papers we have counts for
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Physical ID-Transfer Attacks against Multi-Object Tracking via Adversarial Trajectory
Chenyi Wang, Yanmao Man, Raymond Muller +4
Multi-Object Tracking (MOT) is a critical task in computer vision, with applications ranging from surveillance systems to autonomous driving. However, threats to MOT algorithms hav…
CP-FREEZER: Latency Attacks against Vehicular Cooperative Perception
Chenyi Wang, Ruoyu Song, Raymond Muller +5
Cooperative perception (CP) enhances situational awareness of connected and autonomous vehicles by exchanging and combining messages from multiple agents. While prior work has expl…
A Concept for Efficient Scalability of Automated Driving Allowing for Technical, Legal, Cultural, and Ethical Differences
Lars Ullrich, Michael Buchholz, Jonathan Petit +2
Efficient scalability of automated driving (AD) is key to reducing costs, enhancing safety, conserving resources, and maximizing impact. However, research focuses on specific vehic…
Uncertainty Quantification for Collaborative Object Detection Under Adversarial Attacks
Huiqun Huang, Cong Chen, Jean-Philippe Monteuuis +2
Collaborative Object Detection (COD) and collaborative perception can integrate data or features from various entities, and improve object detection accuracy compared with individu…