基于赛教融合的智能交通课程实践教学研究

Research on the Practical Teaching of Intelligent Transportation Based on the Integration of Competition and Teaching

结合全国大学生智能汽车竞赛百度智慧交通创意组竞赛项目,设计智能交通课程实践教学内容,从竞赛内容凝练与课程知识点结合的教学案例和实验项目,实现赛教资源融合和赛教一体化实践平台共享。设计的实验教学项目融合了图像处理、数据分析、人工智能、智能车硬件平台等内容,包括数据采集、数据分析、数据集构建,深度学习模型建立与智能车平台部署等实践环节。学生从编写简单程序开始,不断提高,到构建复杂的深度学习模型实现智能车自动巡航控制实验。将竞赛任务具有挑战性和对抗性的特点融入课程教学,吸引学生兴趣,增强学生求知欲,提升学生创新能力和工程实践能力。

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.