GPT-4 enhanced multimodal grounding for autonomous driving: Leveraging cross-modal attention with large language models

GPT-4 enhanced multimodal grounding for autonomous driving: Leveraging cross-modal attention with large language models

In the field of autonomous vehicles (AVs), accurately discerning commander intent and executing linguistic commands within a visual context presents a significant challenge. This paper introduces a sophisticated encoder-decoder framework, developed to address visual grounding in AVs. Our Context-Awa...

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Bibliographic Details
Main Authors: Haicheng Liao, Huanming Shen, Zhenning Li, Chengyue Wang, Guofa Li, Yiming Bie, Chengzhong Xu
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Communications in Transportation Research
Subjects:
Autonomous driving
Visual grounding
Cross-modal attention
Large language models
Human-machine interaction
Online Access:http://www.sciencedirect.com/science/article/pii/S2772424723000276
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http://www.sciencedirect.com/science/article/pii/S2772424723000276

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