随着智能网联汽车技术的不断发展，多模态交互技术在自动驾驶领域的应用日益广泛。因此，本文深入研究了多模态交互技术在自动驾驶舱环境中的具体应用，聚焦于语音、手势、生理感知等方面。同时，本文在深入分析舱内模态冲突与系统鲁棒性下降等核心挑战的基础上，提出包含模态解耦结构、自适应容错机制与语义判别优先策略在内的系统级解决方案，以推动智能网联汽车行业的健康发展，并让自动驾驶技术更好地服务于人类社会。

With the continuous development of intelligent connected vehicle technology, multi-modal interaction technology is increasingly widely used in the field of autonomous driving. Therefore, this paper deeply studies the application of multimodal interaction technology in the automatic cockpit environment, focusing on speech, gesture, physiological perception and so on. At the same time, on the basis of in-depth analysis of the core challenges such as modal conflict and system robustness decline in the cabin, a system-level solution including modal decoupling structure, adaptive fault-tolerant mechanism and semantic discrimination priority strategy is proposed, hoping to promote the healthy development of intelligent connected vehicle industry, so that autonomous driving technology can better serve human society.