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首页 > 资源共享 > 组件 > Electric-Vehicle-Route-Planning-on-Google-Map-Reinforcement-Learning_110185550
Electric-Vehicle-Route-Planning-on-Google-Map-Reinforcement-Learning_110185550
详细信息
组件名称:Electric-Vehicle-Route-Planning-on-Google-Map-Reinforcement-Learning_110185550

创建者:isl-org

资源评级:引用目录

所属行业:农业

学科:计算机科学, 图形学

分类:工业软件(CAPP)

授权许可:MIT License

许可证风险:无

开发语言:Swift

fork数量:59

更新时间:2023-11-21

组件含高危漏洞数:5

原始地址:https://github.com/Dungyichao/Electric-Vehicle-Route-Planning-on-Google-Map-Reinforcement-Learning

组件下载:27134104m0lt.zip

组件同源漏洞分析报告:12226786_sharp同源性分析报告(newest).docx

简介:

OpenBot leverages smartphones as brains for low-cost robots. We have designed a small electric vehicle that costs about $50 and serves as a robot body. Our software stack for Android smartphones supports advanced robotics workloads such as person following and real-time autonomous navigation.

User can set up destination for any agent to navigate on Google Map and learn the best route for the agent based on its current condition and the traffic. Our result is 10% less energy consumption than the route provided by Google map

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