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CALVIN: winner of the Fourth Annual Unmanned Ground Vehicle Design Competition

机译:凯尔文:第四届年度无人机地面车辆设计竞赛的冠军

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The Unmanned Ground Vehicle Competition is jointly sponsored by the SAE, the Association for Unmanned Vehicle Systems (AUVS), and Oakland University. College teams, composed of both undergraduate and graduate students, build autonomous vehicles that compete by navigating a 139 meter outdoor obstacle course. The course, which includes a sand pit and a ramp, is defined by painted continuous or dashed boundary lines on grass and pavement. The obstacles are arbitrarily placed, multicolored plastic-wrapped hay bales. The vehicles must be between 0.9 and 2.7 meters long and less than 1.5 meters wide. They must be either electric-motor or combustion-engine driven and must carry a 9 kilogram payload. All computational power, sensing and control equipment must be carried on board the vehicle. The technologies employed are applicable in Intelligent Transportation Systems (ITS). A written design report and an oral presentation are required from each team, and expert judges evaluate these along with inspecting the actual vehicles. Design judging focuses primarily on the design process rather than the implementation of that design in the actual vehicle. The latter feature is evaluated by performance on the obstacle course. The team winning the design contest receives a $1000 award from SAE and is offered the opportunity to present their design paper at the SAE World Congress. The 1996 competition was held at Walt Disney World in Orlando on July 13-15. This paper presents the conceptual design of the vehicle and its components. Innovative aspects of the design are highlighted, along with descriptions of the electronics, software, computers, actuators, sensors, and the means of system integration. The steps followed in the design process are described along with the use of computer-aided design. Considerations of safety, reliability, and durability are included. The analyses leading to the predicted performance of the vehicle (speed, ramp climbing, reaction times, etc.) are also documented. Although not a factor in judging, the paper also includes a cost estimate (not counting student labor) for the final product if it were to be duplicated.
机译:无人机地面车辆竞赛由SAE共同赞助,无人驾驶车辆系统(AUV)和奥克兰大学。大学团队,由本科和研究生组成,通过导航139米户外障碍课程来构建自动竞争。包括沙坑和斜坡的过程由草和路面上的涂漆连续或虚线边界线定义。障碍是任意放置的,多彩多姿的塑料包裹的干草捆。车辆长度长度介于0.9至2.7米之间,宽度小于1.5米。它们必须是电动机或燃烧发动机驱动,必须携带9公斤的有效载荷。必须在车辆上运送所有计算电源,传感和控制设备。所采用的技术适用于智能交通系统(其)。每个团队都需要书面设计报告和口头介绍,专家法官同时进行审查。设计判断主要侧重于设计过程,而不是实际车辆中该设计的实施。后一种特征是通过障碍课程的性能进行评估。赢得设计大赛的团队从SAE获得1000美元奖励,并提供有机会在SAE世界大会上展示他们的设计纸张。 1996年7月13日至15日在奥兰多的沃尔特迪斯尼世界举行。本文介绍了车辆及其组件的概念设计。设计的创新方面是突出显示的,以及电子设备,软件,计算机,执行器,传感器和系统集成手段的描述。在设计过程中遵循的步骤随着计算机辅助设计的使用而描述。包括安全性,可靠性和耐用性的考虑因素。还记录了导致车辆的预测性能(速度,斜坡,反应时间等)的分析。虽然不是判断的一个因素,但如果要重复,该论文还包括最终产品的成本估算(不计算学生劳动力)。

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