3 citations · 5 across the 4 of their papers we have counts for
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cs.CV2024★ 3 cited
CarLLaVA: Vision language models for camera-only closed-loop driving
Katrin Renz, Long Chen, Ana-Maria Marcu +6
In this technical report, we present CarLLaVA, a Vision Language Model (VLM) for autonomous driving, developed for the CARLA Autonomous Driving Challenge 2.0. CarLLaVA uses the vis…
cs.RO2024★ 1 cited
Can Vehicle Motion Planning Generalize to Realistic Long-tail Scenarios?
Marcel Hallgarten, Julian Zapata, Martin Stoll +2
Real-world autonomous driving systems must make safe decisions in the face of rare and diverse traffic scenarios. Current state-of-the-art planners are mostly evaluated on real-wor…