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The DARPA grand challenge - development of an autonomous vehicle

机译:DARPA的巨大挑战-自动驾驶汽车的开发

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The DARPA Grand Challenge (DGC) was an opportunity to test autonomous vehicles in a competitive situation. In addition to intelligent behaviour, the participating vehicles must also exhibit ruggedness and endurance in order to survive the fast ride over rough terrain ("win with the software- lose with the hardware"). The SciAutonics teams decided to use compact and agile vehicles that employ proven mechanical designs very suitable for the desert environment. 4-wheel drive ensures robust controllability even in slippery ground, and a roll cage protects the vehicle components from damage in case of a collision. The control system relies primarily on a differential GPS (Starfire) and a set of inertial sensors for navigating between the given set of waypoints. A sensor suite using infrared laser (LIDAR) and ultrasound sensing provides the capability of obstacle avoidance and path following. This paper shows the components of the vehicle and results from driving at the DGC.
机译:DARPA大挑战赛(DGC)是在竞争形势下测试自动驾驶汽车的机会。除了智能行为外,参与的车辆还必须表现出坚固性和耐用性,以便在崎terrain的地形上快速行驶时能够生存(“以软件取胜,以硬件取胜”)。 SciAutonics团队决定使用紧凑且敏捷的车辆,这些车辆采用经过验证的机械设计,非常适合沙漠环境。四轮驱动即使在湿滑的地面上也可确保强劲的可控制性,防撞架可防止车辆部件在发生碰撞时受到损坏。控制系统主要依靠差分GPS(Starfire)和一组惯性传感器在给定的一组路点之间导航。使用红外激光(LIDAR)和超声感应的传感器套件提供了避障和跟踪路径的功能。本文展示了车辆的组成部分以及在DGC驾驶的结果。

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