6 citations · 7 across the 13 of their papers we have counts for
4 papers · 1 filter
David vs. Goliath: A comparative study of different-sized LLMs for code generation in the domain of automotive scenario generation
Philipp Bauerfeind, Amir Salarpour, David Fernandez +3
Scenario simulation is central to testing autonomous driving systems. Scenic, a domain-specific language (DSL) for CARLA, enables precise and reproducible scenarios, but NL-to-Scen…
DisPatch: Disarming Adversarial Patches in Object Detection with Diffusion Models
Jin Ma, Mohammed Aldeen, Christopher Salas +4
Object detection is fundamental to various real-world applications, such as security monitoring and surveillance video analysis. Despite their advancements, state-of-the-art object…
Anomalous Decision Discovery using Inverse Reinforcement Learning
Ashish Bastola, Mert D. Pesé, Long Cheng +2
Anomaly detection plays a critical role in Autonomous Vehicles (AVs) by identifying unusual behaviors through perception systems that could compromise safety and lead to hazardous…
Toward Inherently Robust VLMs Against Visual Perception Attacks
Pedram MohajerAnsari, Amir Salarpour, Michael Kühr +6
Autonomous vehicles rely on deep neural networks (DNNs) for traffic sign recognition, lane centering, and vehicle detection, yet these models are vulnerable to attacks that induce…