Scenario-Function System for Automotive Intelligent Cockpits: Framework, Research Progress and Perspectives

Hongchang Chen, Ruiyang Gao, Lili Fan, Erxuan Liu, Wenbo Li, Ruichen Tan, Ying Li, Lei He, Dongpu Cao

Abstract: The innovative development of intelligent cockpit scenarios and functions brings increasingly enhanced user experiences to drivers and passengers in intelligent vehicles. However, existing research lacks a precise definition of intelligent cockpit scenarios and functions, let alone an understanding of their relationship. In this article, we first define concepts related to scenario and function. Then, we construct the scenario-function system framework. Specifically, the scenarios are divided based on the spatial-temporal dimension, and both scenarios and functions are stratified by their attributes. Finally, the progress and perspectives on scenario understanding are discussed in relation to existing research, especially for emotion and motion sickness recognition.