Theoretical background and application of multiple goal pursuit trajectory follower

Ernő Horváth, C. Pozna, P. Kőrös, Csaba Hajdu, Á. Ballagi
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Abstract

Autonomous and self-driving technology is a rapidly emerging field among automotive-related companies and academic research institutes. The main challenges include sensory perception, prediction, trajectory planning and trajectory execution. The current paper introduces a design strategy and the mathematical background of the optimization problem with regard to the multiple goal pure pursuit algorithm. The aim of the algorithm is to provide a low degree of computational complexity and, therefore, a fast trajectory-tracking approach. Finally, in terms of our approach, not only the theoretical questions but the application challenges will be described as well.
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多目标跟踪轨迹跟随器的理论背景及应用
自动驾驶技术在汽车相关企业和学术研究机构中是一个迅速崛起的领域。主要挑战包括感官感知、预测、轨迹规划和轨迹执行。本文介绍了多目标纯追击算法优化问题的设计策略和数学背景。该算法的目的是提供一个低程度的计算复杂性,因此,一个快速的轨迹跟踪方法。最后,就我们的方法而言,不仅理论问题,而且应用挑战也将被描述。
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