Multi-objective autonomous vehicle navigation in the presence of cooperative and adversarial moving contacts

M. Benjamin
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引用次数: 26

Abstract

Effective control of autonomous marine vehicles is a difficult problem that continues to increase in complexity as our aspirations and expectations become more ambitious. We discuss here two factors that lead this trend: the need to operate in environments with other moving vehicles, and the expectation that control reflect some sense of optimality where there is the opportunity and payoff for doing so. We present here a method for representing and solving multi-objective optimization problems suitable for controlling vehicles in such situations. This method is called Interval Programming (IvP).
存在合作和对抗运动接触的多目标自动驾驶车辆导航
有效控制自主船舶是一个难题,随着我们的愿望和期望变得更加雄心勃勃,这个问题的复杂性也在不断增加。我们在这里讨论导致这一趋势的两个因素:在与其他移动车辆一起的环境中操作的需求,以及对控制反映某种最佳感的期望,其中有这样做的机会和回报。本文提出了一种适合于这种情况下车辆控制的多目标优化问题的表示和求解方法。这种方法被称为区间规划(IvP)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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