Design and implementation of navigation algorithm for intelligent racing car

Saurav Singh, Devesh Kumar Singh, Rakendra Thapa, Rishabh Khurana
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引用次数: 2

Abstract

Design and implementation of navigation algorithm for intelligent racing car. The paper describes the implementation of intelligent racing car that can recognize the track automatically to run on the specifically designed complex racing track. The objective is to recognize, understand and modify the actual performance of the movements of the car during its pathway by getting information in real time from IR sensors implemented in the system. The travel trajectory consists of continuous black line of about 25 millimeters in width, on a white background in order to have acceptable functioning. Analyzing of the sensor readings was done during the travel, capturing data at the fixed sampling rate and this data was used as inputs to the algorithm to achieve corrections on the decision speed and control movements. A microcontroller assigns the required movement turn and speeds to optimize the performance in order to get a closer behavior as humans could do it without a vision system to catch its environment. The task of this work was to develop an efficient navigation algorithm and it has been successfully implemented in a Motorola S12X 16-bit microcontroller.
智能赛车导航算法的设计与实现
智能赛车导航算法的设计与实现。本文介绍了在专门设计的复杂赛道上自动识别赛道的智能赛车的实现。目标是通过从系统中实现的红外传感器获取实时信息,识别、理解和修改汽车在其路径中的实际运动性能。行进轨迹由宽约25毫米的连续黑线组成,在白色背景上,以便具有可接受的功能。在行驶过程中对传感器读数进行分析,以固定采样率捕获数据,并将这些数据用作算法的输入,以实现对决策速度和控制运动的修正。微控制器分配所需的运动转弯和速度来优化性能,以便获得更接近的行为,因为人类可以在没有视觉系统的情况下完成它的环境。本工作的任务是开发一种高效的导航算法,并已在摩托罗拉S12X 16位微控制器上成功实现。
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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