欢迎访问行业研究报告数据库

行业分类

当前位置:首页 > 报告详细信息

找到报告 1 篇 当前为第 1 页 共 1

一个使用智能手机传感器的比例模型机器人的自主导航和碰撞避免

Autonomous Navigation and Collision Avoidance of a Scale Model Robot Using Smartphone Sensors
作者:Garen Der-Khachadourian 作者单位:University of California at Berkeley 加工时间:2013-11-23 信息来源:EECS 索取原文[23 页]
关键词:自主运输;自主导航;避免碰撞;智能手机;传感器;机器人
摘 要:Driver-assistance systems and fully autonomous vehicles could address the global challenges of traffic congestion and reduced road capacity. Although the field of autonomous transportation is growing rapidly, system complexity and cost have delayed progress. This project attempts to mitigate these issues through the development of a scale model robot that utilizes the sensors of smartphones for autonomous navigation and collision avoidance. Designing a model robotic system is simpler and more cost-e?ective than developing one for a full-sized vehicle. This project investigates the possibility of using smartphones sensors as a viable alternative to high-end, expensive sensors. The system utilizes the Orca Robotics software framework, which provides a library of modular and customizable components. The results from this study suggest that integrating smartphone sensors is much more challenging than using standalone devices. Further work is needed to confirm the feasibility of using these sensors. Ideally, as smartphones continue to improve in computational power and sensor accuracy, it will be possible to use them as integral components in autonomous systems.
© 2016 武汉世讯达文化传播有限责任公司 版权所有 技术支持:武汉中网维优
客服中心

QQ咨询


点击这里给我发消息 客服员


电话咨询


027-87841330


微信公众号




展开客服