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作 者:詹建国[1] 单振宇[1] 陶国芳 ZHAN Jian-guo;SHAN Zhen-yu;TAO Guo-fang(School of Information Science and Technology,Hangzhou Normal University,Hangzhou,Zhejiang 311121,China;Laboratory&Equipment Management Department,Hangzhou Normal University,Hangzhou,Zhejiang 311121,China)
机构地区:[1]杭州师范大学信息科学与技术学院,浙江杭州311121 [2]杭州师范大学实验室与设备管理处,浙江杭州311121
出 处:《教育教学论坛》2024年第38期1-6,共6页Education And Teaching Forum
基 金:2022年度浙江省高校实验室工作研究项目“基于AI的无人机编队虚拟仿真实验项目开发”(ZD202201)。
摘 要:无人机的视觉智能、智能协同、规划设计是人工智能深度学习技术、视觉识别技术等的成功应用,目前无人机实验因涉及飞行器空域限制、实验安全、人员管理等问题,无法开设实体实验课程,特别是集群编队实验代价巨大。传统教学中,这部分内容以理论讲解为主,效率低、体验差,难以激发学生的学习能动性。运用虚拟仿真手段,引导学生参与无人机集群表演设计全过程,通过编队设计、路径优化、灯光规划等过程,帮助学生体验人工智能项目设计流程和合作方式,掌握无人机集群飞行特点,理解多智能体协同,探索降低碰撞概率的方法,激发学生学习兴趣,提高其实践创新能力。The visual intelligence,intelligent collaboration,planning,and design of UAVs are successful applications of artificial intelligence deep learning technology and visual recognition technology.At present,UAV experiments cannot be performed due to issues like air traffic control,safety concerns in conducting experiments,personnel management,and especially the huge cost associated with conducting experiments on the formation and swarming flying,which makes experiments with UAV difficult to carry out.In traditional teaching,this part of the content is mainly based on theoretical explanations,which offers low efficiency and poor experience.This method is also unable to stimulate students’learning initiatives.This project uses virtual simulation methods to guide students to participate in the entire process of UAV cluster performance design.Through formation design,path optimization,lighting planning,and other processes,the project helps students participate in the designing process and different collaborations,master the special features of UAV cluster flight,understand multi-agent coordination,explore ways to reduce the probability of collisions,stimulate interest in learning,and improve abilities to innovate and to apply the knowledge to practical issues.
分 类 号:G642.0[文化科学—高等教育学]
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