EKF and computer vision for mobile robot localization

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2018

Autores

Coelho, FO (Autor) Outra; Carvalho, JP (Autor) FEUP; Pinto, MF (Autor) Outra; Marcato, AL (Autor) Outra

Ata de Conferência Internacional

Título: Proceedings of the 2018 13th APCA International Conference on Control and Soft Computing (CONTROLO)

Páginas: 148-153

Indexação

Scopus - 7 Citações

Outras Informações

ID Authenticus: P-00Q-2J2

DOI: 10.1109/controlo.2018.8514177

Abstract (EN): The autonomous robotic system accurate localization is a challenging step in robot navigation field once the mobile device should avoid dangerous situations, such as unsafe conditions and collisions. In this context, the present paper proposes a localization method using the Extended Kalman Filter (EKF) to fuse the information coming from two different sensors (i.e. odometry and computer vision). The localization results present with known and unknown starting points and are tested in a simulated environment. © 2018 IEEE.

Idioma: Inglês

Tipo (Avaliação Docente): Científica