The LiDAR compass: Extremely lightweight heading estimation with axis maps

نویسندگان

  • Marc Gallant
  • Joshua A. Marshall
چکیده

This paper introduces the LiDAR compass, a bounded and extremely lightweight heading estimation technique that combines a two-dimensional laser scanner and axis maps, which represent the orientations of flat surfaces in the environment. Although suitable for a variety of indoor and outdoor environments, the LiDAR compass is especially useful for embedded and real-time applications requiring low computational overhead. For example, when combinedwith a sensor that canmeasure translation (e.g., wheel encoders) the LiDAR compass can be used to yield accurate, lightweight, and very easily implementable localization that requires no priormapping phase. The utility of using the LiDAR compass as part of a localization algorithm was tested on a widely-available open-source data set, an indoor environment, and a larger-scale outdoor environment. In all cases, it was shown that the growth in heading error was bounded, which significantly reduced the position error to less than 1% of the distance travelled. © 2016 Elsevier B.V. All rights reserved.

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عنوان ژورنال:
  • Robotics and Autonomous Systems

دوره 82  شماره 

صفحات  -

تاریخ انتشار 2016