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EgoDyn-Bench: Evaluating Ego-Motion Understanding in Vision-Centric Foundation Models for Autonomous Driving
Paper • 2604.22851 • Published • 2 -
Target-Bench: Can World Models Achieve Mapless Path Planning with Semantic Targets?
Paper • 2511.17792 • Published • 6 -
Chat2Scenic: An Iterative RAG-Based Framework for Scenario Generation in Autonomous Driving
Paper • 2607.14387 • Published • 7 -
Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario Analysis
Paper • 2506.11526 • Published • 2
AI & ML interests
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Recent Activity
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Papers
SGTP: Sampling-based Game-Theoretic Planning for Real-Time Multi-Vehicle Autonomous Racing
In the Driver's Seat: A Multi-Company Study on the Reality of Autonomous Driving System Testing
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EgoDyn-Bench: Evaluating Ego-Motion Understanding in Vision-Centric Foundation Models for Autonomous Driving
Paper • 2604.22851 • Published • 2 -
Target-Bench: Can World Models Achieve Mapless Path Planning with Semantic Targets?
Paper • 2511.17792 • Published • 6 -
Chat2Scenic: An Iterative RAG-Based Framework for Scenario Generation in Autonomous Driving
Paper • 2607.14387 • Published • 7 -
Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario Analysis
Paper • 2506.11526 • Published • 2