#end-to-end-learning2 articles

2 articles

AIBullisharXiv – CS AI · 9h ago7/10

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What Matters for Scalable and Robust Learning in End-to-End Driving Planners?

Researchers introduce BevAD, a new lightweight end-to-end autonomous driving architecture that achieves 72.7% success rate on the Bench2Drive benchmark. The study systematically analyzes architectural patterns in closed-loop driving performance, revealing limitations of open-loop dataset approaches and demonstrating strong data-scaling behavior through pure imitation learning.

AIBullisharXiv – CS AI · 9h ago6/10

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AerialVLA: A Vision-Language-Action Model for UAV Navigation via Minimalist End-to-End Control

Researchers propose AerialVLA, a minimalist end-to-end Vision-Language-Action framework for UAV navigation that directly maps visual observations and linguistic instructions to continuous control signals. The system eliminates reliance on external object detectors and dense oracle guidance, achieving nearly three times the success rate of existing baselines in unseen environments.