This article outlines the architecture of autonomous driving and related complementary frameworks from the perspective of human comfort. The technical elements for measuring Autonomous Vehicle (AV) user comfort and psychoanalysis are listed here. At the same time, this article introduces the technology related to the structure of automatic driving and the reaction time of automatic driving. We also discuss the technical details related to the automatic driving comfort system, the response time of the AV driver, the comfort level of the AV, motion sickness, and related optimization technologies. The function of the sensor is affected by various factors. Since the sensor of automatic driving mainly senses the environment around a vehicle, including "the weather" which introduces the challenges and limitations of second-hand sensors in autonomous vehicles under different weather conditions. The comfort and safety of autonomous driving are also factors that affect the development of autonomous driving technologies. This article further analyzes the impact of autonomous driving on the user's physical and psychological states and how the comfort factors of autonomous vehicles affect the automotive market. Also, part of our focus is on the benefits and shortcomings of autonomous driving. The goal is to present an exhaustive overview of the most relevant technical matters to help researchers and application developers comprehend the different comfort factors and systems of autonomous driving. Finally, we provide detailed automated driving comfort use cases to illustrate the comfort-related issues of autonomous driving. Then, we provide implications and insights for the future of autonomous driving.

翻译：本文从人类舒适性视角概述了自动驾驶架构及相关互补框架。文中列出了用于测量自动驾驶车辆用户舒适度及心理分析的技术要素，同时介绍了与自动驾驶结构及其反应时间相关的技术。我们进一步探讨了与自动驾驶舒适系统相关的技术细节，包括自动驾驶车辆驾驶员的响应时间、车辆舒适度、晕动症以及相关优化技术。传感器的功能受多种因素影响。由于自动驾驶传感器主要感知车辆周围环境，包括天气因素，本文分析了不同天气条件下自动驾驶车辆中二手传感器所面临的挑战与局限性。自动驾驶的舒适性与安全性也是影响该技术发展的关键因素。本文进一步分析了自动驾驶对用户身心状态的影响，以及自动驾驶车辆舒适性因素如何影响汽车市场。此外，我们着重探讨了自动驾驶的优势与不足。目标是为研究人员与应用开发者提供最相关技术问题的全面概述，帮助其理解自动驾驶中不同舒适性因素及其系统。最后，我们通过详细的自动驾驶舒适性用例阐述了与舒适性相关的问题，并为未来自动驾驶的发展提供了启示与见解。