摘要
在智能驾驶技术快速发展的背景下,传统GIS算法与数据结构课程面临知识更新与实践转型的双重挑战。本文结合当前行业需求与技术趋势,围绕空间数据建模、空间算法实现及其在智能交通中的应用,提出了模块化知识结构体系,并从教学内容、教学方法与课程实践等方面开展系统教学改革探索。通过引入真实交通场景与开源平台,构建具有工程导向的实践教学体系,提升学生算法应用与跨学科协作能力,为GIS专业人才培养提供思路与路径。
With the rapid development of intelligent driving technologies,the traditional GIS Algorithms and Data Structures course faces dual challenges of knowledge renewal and practical transformation.This study,based on current industry demands and technological trends,proposes a modular knowledge framework centered on spatial data modeling,spatial algorithm implementation,and their application in intelligent transportation.Systematic teaching reform is carried out in terms of content design,instructional methods,and practical training.By introducing real-world traffic scenarios and open-source platforms,an engineering-oriented practical teaching system is established,which enhances students'algorithm application skills and interdisciplinary collaboration abilities,providing approaches and pathways for cultivating GIS professionals.
作者
周剑
李必军
应申
陈碧语
郭圆
尹章才
ZHOU Jian;LI Bijun;YING Shen;CHEN Biyu;GUO Yuan;YIN Zhangcai(State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Wuhan 430079,China;School of Resource and Environmental Sciences,Wuhan University,Wuhan 430079,China;School of Resource and Environmental Engineering,Wuhan University of Technology,Wuhan 430070,China)
出处
《测绘通报》
北大核心
2025年第S2期343-346,383,共5页
Bulletin of Surveying and Mapping
基金
湖北本科高校省级教学改革研究项目(2024119)
国家自然科学基金(42471480,42201480)
关键词
智能驾驶
智能交通
地理信息科学
课程建设
intelligent driving
intelligent transportation
geographic information science
curriculum development
