避障
声纳
自动驾驶仪
障碍物
避碰
生存能力
介入式水下机器人
计算机科学
水下
海洋工程
遥控水下航行器
航空学
工程类
控制工程
人工智能
航空航天工程
移动机器人
计算机安全
地质学
地理
机器人
海洋学
考古
碰撞
作者
Douglas Horner,A. J. Healey,Sean Kragelund
标识
DOI:10.1109/oceans.2005.1639962
摘要
Reactive obstacle avoidance (OA) is an important step in attaining greater autonomy in autonomous underwater vehicles (AUV). For AUVs that conduct underwater surveys, avoidance of uncharted obstacles can improve vehicle survivability. This paper discusses initial experiments at the Center for AUV Research in obstacle detection and avoidance using the Naval Postgraduate School ARIES AUV with the Blueview Blazed Array forward looking sonar. It includes a discussion on evaluating OA optimality, autopilot control design and sonar image processing. It concludes with a description of successful results from a recent demonstration
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