.png){kind=icon}
返回
Obstacle Avoidance Using Multiobjective Optimization and a Dynamic Obstacle Manager
.png){kind=icon}
PRE
AI
DOI：10.1109/JOE.2019.2896504.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper describes a set of software modules and algorithms for obstacle avoidance. The approach described here is designed to work in conjunction with any path planning method that generates a viable sequence of waypoints, with obstacle avoidance regarded as a local deviation of the planned path of points. The helm architecture used here will temporarily spawn a new obstacle avoidance behavior for each near detected obstacle, and generate a maneuvering objective function to avoid the obstacle. Once the vehicle passes the obstacle, the helm deletes the behavior and frees its memory space. The helm, obstacle manager, and obstacle avoidance behavior are described here. This software arrangement was used by the MIT 2014 RobotX team, and will be included in the next software release of the open source MOOS-IvP marine autonomy project.
Keyword:
Autonomous systems
intelligent robots
mobile agents unmanned autonomous vehicles
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
5.3
论文数:
2.6K
被引数:
7.4K
机构
暂无机构信息
引用论文
Distributed Information Fusion in Multistatic Sensor Networks for Underwater Surveillance.png)
IEEE SENSORS JOURNAL
IEEE SENSORS JOURNALIF4.5
PREAI
分享收藏
查看更多内容