AIBullisharXiv – CS AI · Mar 97/10
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BEVLM: Distilling Semantic Knowledge from LLMs into Bird's-Eye View Representations
Researchers introduce BEVLM, a framework that integrates Large Language Models with Bird's-Eye View representations for autonomous driving. The approach improves LLM reasoning accuracy in cross-view driving scenarios by 46% and enhances end-to-end driving performance by 29% in safety-critical situations.