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Path Planning for Unmanned Campus Sightseeing Vehicle with Linear Temporal Logic

  • Mengtian Jiao
  • Yunzhong Song
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 528)

Abstract

In order to solve the global path planning problem of unmanned campus sightseeing vehicles, this paper proposes a path optimization method based on linear temporal logic (LTL). First, the plan avoids the cumbersome and huge modeling for the actual road environment, and all the stops are modeled as a weighted finite-state transition system. Second, use LTL language to describe the tasks that the unmanned sightseeing vehicle needs to perform in actual operations. Next, construct a Product automaton that contains the environment model and task requirements. Finally, use a path search method based on Dijkstra algorithm to search for the optimal route on the Product automaton, and the optimal route is mapped back to the stops transition system in the actual environment, so that the route which the vehicle needs to perform during actual operation is obtained. Simulation results show that this method can completely solve the problem of patrolling between multiple stops, and can guarantee the optimality of the operating route.

Keywords

Unmanned campus sightseeing vehicle Linear temporal logic Path planning Multi-point patrol 

Notes

Acknowledgments

This work is supported by Natural Science Fund of Henan Provice, China (182300410112).

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.School of Electrical Engineering and AutomationHenan Polytechnic UniversityJiaozuoChina

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