Autonomous-driving 2 items

Everything Autonomous-driving

📑 arXiv 3d ago

AD4AD: Benchmarking Visual Anomaly Detection Models for Safer Autonomous Driving

AD4AD benchmark evaluates Visual Anomaly Detection models for identifying out-of-distribution objects in autonomous driving, enabling systems to alert drivers when encountering unfamiliar situations. Produces pixel-level anomaly maps to guide attention to specific risk regions. Addresses safety-critical failure modes when perception systems encounter conditions outside training distribution.

Benchmarks Safety Autonomous-driving Anomaly-detection

🤗 Hugging Face 4d ago

RAD-2: Scaling Reinforcement Learning in a Generator-Discriminator Framework

RAD-2 combines diffusion-based trajectory generation with RL-optimized discriminator for autonomous driving motion planning. Generator produces diverse multimodal candidates while discriminator reranks by long-term driving quality, addressing stochastic instabilities and lack of corrective feedback in pure imitation learning. Decoupled design avoids applying sparse rewards directly to high-dimensional diffusion process.

Autonomous-driving Reasoning Training Diffusion

AD4AD: Benchmarking Visual Anomaly Detection Models for Safer Autonomous Driving ↗

RAD-2: Scaling Reinforcement Learning in a Generator-Discriminator Framework ↗

AD4AD: Benchmarking Visual Anomaly Detection Models for Safer Autonomous Driving

RAD-2: Scaling Reinforcement Learning in a Generator-Discriminator Framework