B.R.A.I.N. 2001 – Improvements and Innovation

机译：脑。 2001年–改进与创新

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The 2001 Big Red Artificial Intelligence Navigator is an autonomous underwaterrnvehicle (AUV) constructed for participation in AUVSI’s 4th International AutonomousrnUnderwater Vehicle Competition. The main goals of the competition are tornautonomously locate and retrieve a target object using acoustic and visual cues attachedrnto the target, to locate an array of man-made objects and determine the depth of thernshallowest object in that array.rnThe vehicle has been completely redesigned and rebuilt from last year’s entry,rnfocused on creating robust and reliable solutions to the problems encountered during thern3rd annual competition, while improving also on those aspects of the 2000 vehicle thatrnwere the most successful. Onboard are: a modular signal-and-power infrastructure thatrnallows rapid addition, removal, or substitution of sensor boards; hot-swappable batteriesrnthat extend the theoretical computer uptime indefinitely; an isolated motor control hull tornprevent computer interference and improve thermal behavior; and a digital signalrnprocessor for hydrophone data. Combining these improvements with machine visionrnalgorithms and reliable proportional-integral-derivative (PID) motor control, the vehiclernwill be in a position to successfully complete all mission objectives.

机译：2001年的Big Red人工智能导航仪是为参加AUVSI第四届国际水下机器人大赛而设计的自动水下机器人（AUV）。比赛的主要目标是利用附着在目标上的声音和视觉提示自动地定位和取回目标物体，以定位一系列人造物体并确定该阵列中最浅的物体的深度。车辆已被完全重新设计并从去年的参赛作品进行了重新设计，重点是为第3届年度竞赛中遇到的问题创建可靠而可靠的解决方案，同时还改进了2000款汽车中最成功的那些方面。板载：模块化的信号和电源基础架构，可快速添加，拆卸或更换传感器板；热插拔电池-无限期延长理论计算机的正常运行时间；隔离的电动机控制外壳可防止计算机干扰并改善散热性能；以及用于水听器数据的数字信号处理器。将这些改进与机器视觉算法和可靠的比例积分微分（PID）电动机控制相结合，车辆将能够成功完成所有任务目标。

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《Association for Unmanned Vehicle Systems International (AUVSI) unmanned systems 2001: the world's largest unmanned systems symposium and exhibition》|2001年|p.1-10|共10页
会议地点 Baltimore MD(US)
作者
Aaron Birkland; James Buescher; Walter Chang; Hubert Chao; Richard Chung; Brian Dunstan; Vikash Goel; Scott artranft; Dave Hays; Wei-Chang Huang; Lars Kalnajs; Nidhi Kalra; Jeremy Kubica; Marla Leahy; John Riley; Keisuke Nakagawa; Anthony Peng; Warwick Tucker; Dan Weaver;
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作者单位

Cornell University BRAIN Team c/o James Buescher 455 Rhodes Hall, Ithaca, NY 14853;

Cornell University BRAIN Team c/o James Buescher 455 Rhodes Hall, Ithaca, NY 14853;

Cornell University BRAIN Team c/o James Buescher 455 Rhodes Hall, Ithaca, NY 14853;

Cornell University BRAIN Team c/o James Buescher 455 Rhodes Hall, Ithaca, NY 14853;

Cornell University BRAIN Team c/o James Buescher 455 Rhodes Hall, Ithaca, NY 14853;

Cornell University BRAIN Team c/o James Buescher 455 Rhodes Hall, Ithaca, NY 14853;

Cornell University BRAIN Team c/o James Buescher 455 Rhodes Hall, Ithaca, NY 14853;

Cornell University BRAIN Team c/o James Buescher 455 Rhodes Hall, Ithaca, NY 14853;

Cornell University BRAIN Team c/o James Buescher 455 Rhodes Hall, Ithaca, NY 14853;

Cornell University BRAIN Team c/o James Buescher 455 Rhodes Hall, Ithaca, NY 14853;

Cornell University BRAIN Team c/o James Buescher 455 Rhodes Hall, Ithaca, NY 14853;

Cornell University BRAIN Team c/o James Buescher 455 Rhodes Hall, Ithaca, NY 14853;

Cornell University BRAIN Team c/o James Buescher 455 Rhodes Hall, Ithaca, NY 14853;

Cornell University BRAIN Team c/o James Buescher 455 Rhodes Hall, Ithaca, NY 14853;

Cornell University BRAIN Team c/o James Buescher 455 Rhodes Hall, Ithaca, NY 14853;

Cornell University BRAIN Team c/o James Buescher 455 Rhodes Hall, Ithaca, NY 14853;

Cornell University BRAIN Team c/o James Buescher 455 Rhodes Hall, Ithaca, NY 14853;

Cornell University BRAIN Team c/o James Buescher 455 Rhodes Hall, Ithaca, NY 14853;

Cornell University BRAIN Team c/o James Buescher 455 Rhodes Hall, Ithaca, NY 14853;

Cornell University BRAIN Team c/o James Buescher 455 Rhodes Hall, Ithaca, NY 14853;

Cornell University BRAIN Team c/o James Buescher 455 Rhodes Hall, Ithaca, NY 14853;

Cornell University BRAIN Team c/o James Buescher 455 Rhodes Hall, Ithaca, NY 14853;

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原文格式 PDF
正文语种 eng
中图分类自动控制、自动控制系统;无人驾驶飞机;
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B.R.A.I.N. 2001 – Improvements and Innovation

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