一种图像边沿特征提取算法与路径识别系统  

Path Recognition Systemand Image Edge Feature Extraction Algorithm

作　　者：赖武刚[1] 耿帅 魏利颖 吴芯洋 唐川田 张博 Lai Wugang;Geng Shuai;Wei Liying;Wu Xinyang;Tang Chuantian;Zhang Bo(School of Information Science and Technology,Chengdu University of Technology,Chengdu 610059,China)

机构地区：[1]成都理工大学信息科学与技术学院

出　　处：《单片机与嵌入式系统应用》2020年第1期18-20,共3页Microcontrollers & Embedded Systems

基　　金：2018年国家级大学生创新创业训练计划项目(201810616071)

摘　　要：介绍了一种基于图像边沿特征提取算法的路径识别系统。主要针对自动驾驶过程中路径类型预判较慢且准确度不高的问题,提出了一种图像边沿特征提取算法,以智能车作为算法搭建平台,利用MK60DN512ZVLQ10作为本智能车的核心单片机,通过对采集到的图像进行边沿特征提取实现对道路类型的分析及预判,控制小车的速度及行驶方向完成自主寻迹。In the paper,a path recognition system based on edge feature extraction algorithm is introduced.Aiming at the problem of slow and inaccurate prediction of path type in the process of automatic driving,an image edge feature extraction algorithm is proposed.The intelligent vehicle is used as the platform of the algorithm,and MK60DN512ZVLQ10 is used as the core MCU of the intelligent vehicle.The road class is realized by extracting the edge feature of the collected image,type analysis and prediction,control the speed and direction of the car to complete autonomous tracking.

关 键 词：边沿特征提取 MK60DN512ZVLQ10 自主寻迹 

分 类 号：TP368[自动化与计算机技术—计算机系统结构]