Navigation with Polytopes: A Toolbox for Optimal Path Planning with Polytope Maps and B-spline Curves

14Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.

Abstract

To deal with the problem of optimal path planning in 2D space, this paper introduces a new toolbox named “Navigation with Polytopes” and explains the algorithms behind it. The toolbox allows one to create a polytopic map from a standard grid map, search for an optimal corridor, and plan a safe B-spline reference path used for mobile robot navigation. Specifically, the B-spline path is converted into its equivalent Bézier representation via a novel calculation method in order to reduce the conservativeness of the constrained path planning problem. The conversion can handle the differences between the curve intervals and allows for efficient computation. Furthermore, two different constraint formulations used for enforcing a B-spline path to stay within the sequence of connected polytopes are proposed, one with a guaranteed solution. The toolbox was extensively validated through simulations and experiments.

Cite

CITATION STYLE

APA

Nguyen, N. T., Gangavarapu, P. T., Kompe, N. F., Schildbach, G., & Ernst, F. (2023). Navigation with Polytopes: A Toolbox for Optimal Path Planning with Polytope Maps and B-spline Curves. Sensors, 23(7). https://doi.org/10.3390/s23073532

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free