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Cognitive Route Search Technique for Self-Driving Vehicles

机译:自动驾驶汽车的认知路线搜索技术

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摘要

This article introduces Time-Constrained Heuristic Search (TCS) as a route search technique that incorporates a cognitive aspect in self-driving vehicles. TCS is a search method using which we can set the time limit to generate a route in advance. The most important feature of TCS is that the node expansion in the latter portion of the journey near the destination tends to be minimized to ensure that the search finishes within the prescribed time limit. TCS conducts a search during the initial portion of the journey that is related to the route the vehicle will move on in the immediate future, but does not take into account the latter portion of the route to a great extent. So, TCS can be regarded as the search technique that selects an option to generate immediate benefit. This characteristic is well-known as the present-oriented bias or the prospect theory in cognitive psychology. Hence, the authors can infer that TCS provides an ability of cognitive judgment to self-driving vehicles.
机译:本文介绍了时间约束启发式搜索(TCS)作为一种路线搜索技术,该技术在自动驾驶汽车中纳入了认知方面。 TCS是一种搜索方法,通过它我们可以设置时间限制以提前生成路线。 TCS的最重要特征在于,趋向于在目的地附近的旅程的后期部分中的节点扩展趋于最小化,以确保搜索在规定的时限内完成。 TCS在旅程的初始阶段进行搜索,该阶段与车辆将在不久的将来行驶的路线有关,但在很大程度上未考虑到路线的后半部分。因此,TCS可以看作是一种选择选项以产生直接收益的搜索技术。该特征被称为认知心理学中的当前取向偏见或前景理论。因此,作者可以推断出TCS为自动驾驶车辆提供了认知判断能力。

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