Analysis of Low Cost Sensors Applied to the Detection of Obstacles in High Voltage Towers - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2023

Analysis of Low Cost Sensors Applied to the Detection of Obstacles in High Voltage Towers

Résumé

In several applications involving autonomous navigation of robotic systems, the selection of the applied sensors is a criterion of extreme importance, allowing the correct identification of obstacles within a safe detection range. Thus, the characterization of the sensors becomes a necessary step in identifying the terms of use and limitations of the different devices analyzed, in order to focus on the correct choice for different applications and scenarios of use. This paper discusses a study about the use and characterization of various ultrasonic sensors and low cost laser sensors applied to the detection of components commonly used in high voltage towers, which have distinct properties and geometries, for means of evaluating a possible use in future autonomous systems through unmanned aerial vehicles. Based on the results obtained, it was possible to identify the characteristics of use of the analyzed sensors in a controlled environment and in an uncontrolled environment, providing vital information for the correct choice of sensors applied to autonomous navigation in high voltage towers scenarios.
Fichier sous embargo
Fichier sous embargo
1 8 4
Année Mois Jours
Avant la publication
jeudi 1 janvier 2026
Fichier sous embargo
jeudi 1 janvier 2026
Connectez-vous pour demander l'accès au fichier

Dates et versions

hal-04489011 , version 1 (04-03-2024)

Licence

Paternité

Identifiants

Citer

Guido Szekir Berger, Matheus Fellype Ferraz, Álvaro Rogério Cantieri, Marco A. Wehrmeister. Analysis of Low Cost Sensors Applied to the Detection of Obstacles in High Voltage Towers. 6th International Embedded Systems Symposium (IESS), Sep 2019, Friedrichshafen, Germany. pp.155-166, ⟨10.1007/978-3-031-26500-6_13⟩. ⟨hal-04489011⟩
11 Consultations
1 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More