Development of a low-cost, self-contained, combined vision and inertial navigation system

Justin M. Barrett, M. Gennert, W. Michalson, Michael D. Audi, Julian L. Center, James F. Kirk, B. Welch
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引用次数: 3

Abstract

In the field of autonomous vehicle research, maintaining accurate estimates of a vehicle's velocities, position, and orientation is crucial to successful navigation. Normally, this information can be obtained through the use of a GPS system. However, GPS signals are not always available in some of the more exotic or dangerous locations that a vehicle might be dispatched to. This paper proposes a hybrid navigation system for autonomous vehicles that uses inertial sensors and a stereo camera system to accurately determine the velocities, position, and orientation of a vehicle. Such a system would be ideal for vehicles that have to operate in underground, indoor, extraterrestrial, or other GPS-denied environments.
开发一种低成本、独立、结合视觉和惯性导航系统
在自动驾驶汽车研究领域,保持对车辆速度、位置和方向的准确估计对于成功导航至关重要。通常,这些信息可以通过使用GPS系统获得。然而,在车辆可能被派往的一些较为奇特或危险的地点,GPS信号并不总是可用的。本文提出了一种用于自动驾驶汽车的混合导航系统,该系统使用惯性传感器和立体摄像系统来精确确定车辆的速度、位置和方向。这种系统对于必须在地下、室内、外太空或其他没有gps的环境中运行的车辆来说是理想的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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