Controllable and Photorealistic Pedestrian Risky Motion Generation for End-to-End Driving Safety Evaluation

cs.RO

Submitted: 2026-10-05

Updated: 2026-10-05

Comments: 9 pages, 7 figures, Website at https://controlped.netlify.app

Project page: https://controlped.netlify.app

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Sources

• SafeGen: Goal-Conditioned Video Diffusion of Safety-Critical Scenarios for VLM-Based Autonomous Driving
• Human Motion Diffusion Model
• CounterScene: Counterfactual Causal Reasoning in Generative World Models for Safety-Critical Closed-Loop Evaluation
• Joint Attention in Autonomous Driving (JAAD)
• YOLOv11: An Overview of the Key Architectural Enhancements
• BoT-SORT: Robust Associations Multi-Pedestrian Tracking

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