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The next step - testing connected and automated vehicles on real roads

机译:下一步-在真实道路上测试联网和自动驾驶的车辆

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摘要

An elderly lady on a mobility scooter using a broom to chase away a duck. Not a typical scenario one would expect to encounter during vehicle prototype testing. However, in 2014, this unlikely situation confronted one of Google's self-driving cars when out assessing its automated capabilities in the Bay Area, San Francisco. The operation of a road vehicle is a relatively simple, governed by four basic operations - steer left, steer right, speed up, slow down. However, the Google example illustrates the infinite complexity that driving truly entails. Weather, traffic, pedestrians, animals - all may contrive to perplex the sensors and software that guide automated vehicles. Consequently, large datasets of real world driving in a variety of conditions are necessary to provide the substrate upon which these systems can be trained and optimised.
机译:一位机动滑板车的年长女士,用扫帚赶走鸭子。在车辆原型测试期间不会遇到典型的情况。但是,在2014年,在评估其在旧金山湾区的自动驾驶能力时,谷歌的一款自动驾驶汽车遇到了这种不太可能的情况。道路车辆的操作相对简单,受四个基本操作支配-向左转向,向右转向,加速,减速。但是,Google的示例说明了驾驶真正带来的无限复杂性。天气,交通,行人,动物-都可能使引导自动车辆的传感器和软件感到困惑。因此,必须提供在各种条件下行驶的真实世界的大型数据集,以提供可在其上训练和优化这些系统的基础。

著录项

  • 来源
    《Traffic engineering & control》 |2016年第1期|29-29|共1页
  • 作者

    Nick Reed;

  • 作者单位
  • 收录信息 美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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