#end-to-end2 articles

2 articles

AIBullisharXiv – CS AI · 4h ago6

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Less is More: Lean yet Powerful Vision-Language Model for Autonomous Driving

Researchers introduce Max-V1, a novel vision-language model framework that treats autonomous driving as a language problem, predicting trajectories from camera input. The model achieved over 30% performance improvement on the nuScenes dataset and demonstrates strong cross-vehicle adaptability.

AINeutralarXiv – CS AI · 4h ago0

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TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving

Researchers have released TaCarla, a comprehensive dataset containing over 2.85 million frames from CARLA simulation environment designed for end-to-end autonomous driving research. The dataset addresses limitations in existing autonomous driving datasets by providing both perception and planning data with diverse behavioral scenarios for comprehensive model training and evaluation.

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