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Using VIVE Tracker to Detect the Trajectory of Mobile Robots

EasyChair Preprint no. 6241, version 2

Versions: 12history
10 pagesDate: September 20, 2021

Abstract

The detection of mobile robot performance often requires expensive high-precision trajectory tracking equipment. Testing laboratories are often unable to afford such a price. Finding cheap equipment that can meet the detection requirements has become a problem that needs to be solved. HTC's VIVE Tracker As a low-cost VR product accessory, it provides good measurement accuracy. This research focuses on the VIVE Tracker's performance testing for mobile robots, focusing on the device's ability to capture and analyze the movement trajectory of the mobile robot. After testing and analyzing the VIVE Tracker, it is verified that it can meet the accuracy requirements of mobile robot detection, and can well capture the movement trajectory of the mobile robot and use it for the mobile performance analysis of the mobile robot.

Keyphrases: Accuracy, detection, mobile robot, trajectory, Vive Tracker

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:6241,
  author = {Yong Wang and Peng Tian and Yu Zhou and Mao Mao Zhu and Qing Chen and Chang Zhang},
  title = {Using VIVE Tracker to Detect the Trajectory of Mobile Robots},
  howpublished = {EasyChair Preprint no. 6241},

  year = {EasyChair, 2021}}
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