海报:分心驾驶管理

Seyhan Uçar, Hao Yang, K. Oguchi
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引用次数: 0

摘要

如今,现代车辆可以探测到附近其他分心的司机。下一步可能是对分心驾驶的管理,即一个系统引导无辜的司机绕过分心的司机。ego车辆可以与远程服务器共享检测到的附近分心的司机。远程服务器跟踪它们并生成控制建议(即速度和变道建议),以使无辜的司机远离分心的司机。在本文中,我们主要关注那个用例。我们建议为不注意驾驶的联网车辆生成控制建议(例如,速度和变道建议)。大量的模拟表明,分心驾驶管理可以将碰撞风险降低78%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Poster: Distracted Driving Management
Today, modern vehicles can detect other nearby distracted drivers. The next step could be the management of distracted driving, in which a system guides innocent drivers around distracted drivers. The ego vehicle can share detected nearby distracted drivers with the remote server. The remote server tracks them and generates control suggestions (i.e., speed and lane change advisories) to keep innocent drivers away from distracted drivers. In this paper, we focus on that use case. We propose to generate control suggestions (e.g., speed and lane change advisories) for connected vehicles around inattentive drivers. Extensive simulations show that distracted driving management could decrease the collision risk by 78%.
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