CARLA

CARLA is a simulator used to evaluate visual imitation learning methods by providing a realistic environment for testing algorithms in autonomous driving scenarios.

Papers using CARLA (8)

UAV-Track VLA: Embodied Aerial Tracking via Vision-Language-Action Models2026Comparative Analysis of Patch Attack on VLM-Based Autonomous Driving Architectures2026AutoFocus-IL: VLM-based Saliency Maps for Data-Efficient Visual Imitation Learning without Extra Human Annotations2025AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning2025Exploring Multimodal Implicit Behavior Learning For Vehicle Navigation In Simulated Cities2025X-driver: Explainable Autonomous Driving With Vision-language Models2025RLM: A Vision-language Model Approach For Radar Scene Understanding2025Efficient Policy Adaptation with Contrastive Prompt Ensemble for Embodied Agents2024 · 3 cites