Towards conformant models of automated electric vehicles

Ray Lattarulo, Daniel Hess, Jose A. Matute, Joshué Pérez
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引用次数: 6

Abstract

Automated driving is one of the major tendencies in last decades, and it is presented as a reliable option to improve comfort during driving, including disable and elder in society and increasing persons safety in roads. This last topic produces the question how is it possible to verify planning and control algorithms for a reliable commercial use of this technology. The question can be answered from two perspective: experimental or formal methods, where the formal one is selected as the most robust between both. Hence, the current work presents a case study verification in automated driving for lane change and double lane change maneuvers, using as basis a trace conformance method presented in [1]. The verification method is performed in Dynacar as a precise multibody simulator tuned for a commercial Renault Twizy vehicle.
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迈向自动化电动汽车的一致性模型
自动驾驶是过去几十年的主要趋势之一,它被认为是一种可靠的选择,可以提高驾驶过程中的舒适性,包括社会上的残疾人和老年人,以及提高道路上的人身安全。最后一个主题产生了一个问题,即如何验证该技术的可靠商业用途的规划和控制算法。这个问题可以从两个角度来回答:实验方法或形式方法,其中形式方法被选择为两者之间最稳健的方法。因此,本研究以[1]中提出的轨迹一致性方法为基础,对自动驾驶变道和双变道机动进行了案例研究验证。该验证方法是在Dynacar中进行的,作为雷诺Twizy商用车辆的精确多体模拟器。
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