Home // IARIA Congress 2023, The 2023 IARIA Annual Congress on Frontiers in Science, Technology, Services, and Applications // View article

Satellite Selection Algorithm to Optimize a Solution for Autonomous Driving Applications

Authors:
Tiago Gonçalves
Gianmarco Fedeli
Clara Lázaro
Hélder Silva
Telmo Vieira

Keywords: Satellite Selection; GNSS; WPDOP; Computational Effort; Autonomous Driving.

Abstract:
In recent years, there has been a significant exponential growth in the quantity of satellites from Global Navigation Satellite Systems (GNSSs). The proliferation of satellites could lead to noteworthy effects on different industries, such as aviation and autonomous driving, by substantially improving positioning accuracy and optimizing service efficiency. Nevertheless, deploying a large number of satellites comes with certain implications, such as an unavoidable increase in computational demands and higher power consumption for the receiver. A satellite selection algorithm can address these challenges by selecting a smaller subset of the total visible satellites, with comparable or even better positional accuracy. This paper introduces an algorithm for GNSS satellite selection in autonomous driving applications, which incorporates various factors including satellite elevation and signal strength. The algorithm identifies the optimal subset of satellites by applying a Sequential Updating Method (SUM) to generate multiple subsets and subsequently compare their Weighted Position Dilution of Precision (WPDOP). The subset with the lowest WPDOP is ultimately selected for use in the positioning process. The algorithm's performance is assessed in a dynamic scenario under challenging conditions, typical of autonomous driving context, and compared with other algorithms from the literature. Results show that the proposed algorithm is suitable for the target application, due to its ability to achieve higher positioning accuracy and reduce computational time.

Pages: 14 to 19

Copyright: Copyright (c) IARIA, 2023

Publication date: November 13, 2023

Published in: conference

ISBN: 978-1-68558-089-6

Location: Valencia, Spain

Dates: from November 13, 2023 to November 17, 2023