Research on the Practical Teaching of Intelligent Transportation Based on the Integration of Competition and Teaching
Combining with the Baidu Intelligent Transportation Creative Group Competition of the National College Student Intelligent Vehicle Competition,practical teaching of the new engineering course of intelligent transportation is designed.Teaching cases and experimental projects are refined based on the combination of competition and course knowledge to realize the sharing of practice platforms for competition and education.The designed experiment integrates image processing,data analysis,artificial intelligence,intelligent vehicle hardware platform and other contents.Data acquisition,data analysis,data set construction,deep learning model establishment,intelligent vehicle platform deployment and other practical links are included.Students start with simple programming and complete a deep learning model to realize the automatic cruise control experiment of intelligent vehicles.The challenging and antagonistic characteristics of competition tasks are integrated into the course teaching.Students'interest is attracted.Students'thirst for knowledge is enhanced.Students'innovation ability and engineering practice ability are improved.
intelligent transportationdeep Learningdata processingsmart model carpractical teaching
万方数据
维普
