基于Cortex-M4的光电智能车路径识别最优化研究
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引用本文:施鹤远,彭凯,申正卫,李楠,李尹,王击.基于Cortex-M4的光电智能车路径识别最优化研究[J].计算技术与自动化,2014,(2):112-114
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施鹤远,彭凯,申正卫,李楠,李尹,王击 (中南大学 信息科学与工程学院,湖南 长沙410083) 
中文摘要:研究基于Cortex-M4芯片的智能车路径识别最优化方案,选用光电传感器作为路径识别的传感器,结合路径识别算法和控制算法对智能车的坡道、速度和停车位等进行优化配置。制作的小型光电智能汽车,通过增加传感器和改进算法实现了路径识别,使小车循着赛道轨迹行进,在遇到坡道、障碍时能够自动作出响应。实际运行结果验证了所做研究的有效性。
中文关键词:Cortex-M4  光电智能汽车  路径识别
 
Study on Path Identification Optimization of Photoelectric Intelligent Vehicle Based on Cortex-M4
Abstract:The paper studies the optimization scheme of the intelligent vehicle path identification based on Cortex-M4, adopts photoelectric sensor for path recognition, combined with the path recognition algorithm and control algorithm of the intelligent vehicle ramp, speed and parking space allocation. A small photoelectric intelligent car was produced, by increasing the sensor and the improved algorithm to achieve the path identification, the car on the track path, in the face of the ramp, obstacles to automatically respond. The actual results validate the research efficiency.
keywords:Cortex-M4  photoelectric intelligent vehicle  path identification
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