论文标题
像人类驾驶员一样的自动驾驶，而不是机器人：自动驾驶汽车的个性化舒适驾驶体验
Self-Driving like a Human driver instead of a Robocar: Personalized comfortable driving experience for autonomous vehicles
论文作者
论文摘要
本文根据个人驾驶的偏好颁发了自动驾驶自动驾驶汽车的集成控制系统，以向自动驾驶汽车用户提供个性化舒适的驾驶体验。我们提出了一个乘员的偏好度量（OPM），该指标（OPM）定义了一个首选的侧面和纵向加速区，最大程度地允许用户使用允许的混蛋。此外，我们根据控制参数提出了一个车辆控制器，通过对自动驾驶汽车的偏好感操作，实现了整合的侧面和纵向控制。拟议的系统不仅为乘员的驾驶偏好提供了标准，而且还提供了个性化的自主自动驾驶风格，例如人类驾驶员而不是robocar。模拟和实验结果表明，提出的系统可以通过跟踪可允许的加速度和混蛋的指定标准来像人类驾驶员一样操纵自动驾驶车辆。
This paper issues an integrated control system of self-driving autonomous vehicles based on the personal driving preference to provide personalized comfortable driving experience to autonomous vehicle users. We propose an Occupant's Preference Metric (OPM) which is defining a preferred lateral and longitudinal acceleration region with maximum allowable jerk for users. Moreover, we propose a vehicle controller based on control parameters enabling integrated lateral and longitudinal control via preference-aware maneuvering of autonomous vehicles. The proposed system not only provides the criteria for the occupant's driving preference, but also provides a personalized autonomous self-driving style like a human driver instead of a Robocar. The simulation and experimental results demonstrated that the proposed system can maneuver the self-driving vehicle like a human driver by tracking the specified criterion of admissible acceleration and jerk.
