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Updated: Feb 28, 2026

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适应性多属性场景LoRA合并用于自动驾驶中的强大的感知.

Ryosuke Kawata1, Joonho Lee1, Yanlei Gu2

  • 1Graduate School of Interdisciplinary Information Studies, The University of Tokyo, Tokyo 113-0033, Japan.

Sensors (Basel, Switzerland)
|February 27, 2026
PubMed
概括

自动驾驶感知模型在不利条件下扎. 我们的参数有效微调 (PEFT) 框架使用适应性低级适应 (LoRA) 专家来提高在具有挑战性的联合天气照明场景中的性能.

关键词:
自动驾驶自动驾驶的自动驾驶.模型合并的合并模式具有参数效率的微调.

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