Intelligent Driving System for Safer Automobiles

Intelligent Driving System for Safer Automobiles
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智能驾驶系统让汽车更安全

DOI:
10.2197/ipsjjip.25.32
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发表时间:
2017
期刊:
J. Inf. Process.
影响因子:
--
通讯作者:
S. Inoue
S. Inoue
中科院分区:
--
文献类型:
--
作者:
H. Inoue;P. Raksincharoensak;S. Inoue

文献摘要

被引文献

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作为驾驶辅助技术的创新,本研究旨在开发一种“自主智能驾驶系统”,以防止事故风险并提高老年驾驶员的驾驶安全性,以振兴当前的老龄化社会。该系统主要研究了两个关键技术:风险预测驾驶智能模型和驾驶员与辅助系统之间的共享控制。第一个关键技术是嵌入一个有经验的驾驶员模型,以恢复驾驶员的识别,决策和操作性能下降。在辅助驾驶系统的设计中,经验丰富的驾驶员模型包含了基于知识的“风险预测机制”,以避免在危险驾驶情况下发生事故。例如,当通过具有低能见度的无信号交叉路口时,已知有经验的驾驶员预测突然穿越的行人或自行车的出现,然后在接近这种低能见度区域时使车辆减速,并且还准备制动以避免可能发生的潜在碰撞。第二个关键点是“共享控制”。这项研究的目的不是为他们开发全自动驾驶汽车,而是开发一种先进的驾驶员辅助系统,以防止在需要制动或转向干预的情况下发生事故,并减少驾驶工作量。因此,为了实现良好的驾驶员和系统之间的合作特性,共享控制的概念被应用到优化的辅助水平,制动和转向操纵,最大限度地减少干扰人类驾驶员驾驶操作。驾驶模拟器和试验车验证了所提出的智能驾驶系统的有效性。
As an innovation of driver assistance technology, this research aims to develop an “Autonomous Intelligent Driving System” to prevent risk of accidents and enhance driving safety for elderly drivers in order to vitalize current aged society. The proposed system focuses on two key technologies: Risk-predictive driving intelligence model and Shared control between the driver and the assistance system. The first key technology is to embed an experienced driver model for recovering degraded performances of recognition, decision-making and operation of drivers. In the driver assistance system design, the experienced driver model contains knowledge-based “risk-prediction mechanism” to avoid accidents in risky driving situations. For instance, when passing unsignalized intersections with poor visibility, it is known that experienced drivers predict the appearance of sudden-crossing pedestrians or bicycles and then slow down the vehicle when approaching such poor visibility area and also prepare to brake in order to avoid potential collisions that might occur. The second key point is “Shared control.” This research does not aim to develop a fully-autonomous driving vehicle for them, but aims to develop an advanced driver assistance system for preventing accidents in the case that the intervention by braking or steering is needed, as well as reducing driving workload. Therefore, to realize good cooperative characteristics between the driver and the system, the shared control concept is applied to optimize the assistance level for braking and steering maneuver, minimizing the interference human driver driving maneuver. The Driving Simulator and the test vehicle are used to verify the effectiveness of the proposed intelligent driving system.