Paper-Conference

Meta-VLM: Which Metadata Do Vision-Language Models Need to Drive Safely?

User Perceptions of Deceptive In-Vehicle Infotainment User Interfaces

Relational Feature Distillation for Lightweight 3D Point Cloud Segmentation

On the Vulnerability of Lane Detectors to Physical Shadow

LLMCluster: Fuzzing Crash Triage using Generative AI

GATE: Reliability-Gated Gaussian Evidence Fusion for Training-Free Test-Time Adaptation of Vision-Language Models

CANdy: Backward-Compatible CAN Message Authentication via Sub-Bit Injection on Commercial Controllers

Evaluating the Robustness of Segmentation Models against Adversarial Patches in Off-Road Environments

Short: CARdea: Two-Phase Plausibility-Based Vehicle-to-Vehicle Anomaly Detection System

Distilling Vision Language Model for Robust Traffic Sign Perception in Autonomous Vehicles