Redundant robot localization system based in wireless sensor network

• Type: Article in International Conference Proceedings Book
• Date: 2018

Authors

Reis, R (Author) Other; Mendes, J (Author) Other; Filipe Neves Santos (Author) FEUP; Morais, R (Author) Other; Ferraz, N (Author) Other; Santos, L (Author) Other; Armando Jorge Sousa (Author) FEUP

Conference proceedings International

Title: 2018 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC)

Pages: 154-159

Indexing

ISI Web of Knowledge - 9 Citations

Scopus - 14 Citations

Other information

Authenticus ID: P-00N-ZQK

DOI: 10.1109/icarsc.2018.8374176

Abstract (EN): Localization and Mapping of autonomous robots in an harsh and unstable environment such as a steep slope vineyard is a challenging research topic. Dead Reckoning systems can fail due to the harsh conditions of the terrain, and the Global Position System can be affected by noise or even be unavailable. Agriculture is moving towards precision agriculture, with advanced monitoring systems and wireless sensor networks. These systems and wireless sensors are installed in the crop field and can be considered relevant landmarks for robot localization. In this paper the distance accuracy provided by bluetooth based sensors is deeply studied and characterized. It is considered a multi antenna receiver bluetooth system and obtained the transfer functions (from Received Signal Strength Indication (RSSI) to distance estimation) for each set of antenna and sensors. The performance of this technology is compared against Time-of-flight based technologies (Pozyx). The obtained results show that the agricultural wireless sensors can be used as redundant artificial landmarks for localization purposes. Besides, the RSSI characterization allowed to improve the previous results of our Beacon Mapping Procedure (BMP) required for accurate and reliable localization systems. © 2018 IEEE.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6