A Biologically Inspired Approach for Robot Depth Estimation
Visualitza/
Metadades
Mostra el registre complet de l'elementcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7036
comunitat-uji-handle3:10234/8620
comunitat-uji-handle4:
INVESTIGACIONMetadades
Títol
A Biologically Inspired Approach for Robot Depth EstimationData de publicació
2018Editor
HindawiISSN
1687-5265; 1687-5273Cita bibliogràfica
MARTINEZ-MARTIN, Ester; DEL POBIL, Angel P. A Biologically Inspired Approach for Robot Depth Estimation. Computational intelligence and neuroscience, 2018, vol. 2018Tipus de document
info:eu-repo/semantics/articleVersió de l'editorial
https://www.hindawi.com/journals/cin/2018/9179462/Versió
info:eu-repo/semantics/publishedVersionParaules clau / Matèries
Resum
Aimed at building autonomous service robots, reasoning, perception, and action should be properly integrated. In this paper, the depth cue has been analysed as an early stage given its importance for robotic tasks. ... [+]
Aimed at building autonomous service robots, reasoning, perception, and action should be properly integrated. In this paper, the depth cue has been analysed as an early stage given its importance for robotic tasks. So, from neuroscience findings, a hierarchical four-level dorsal architecture has been designed and implemented. Mainly, from a stereo image pair, a set of complex Gabor filters is applied for estimating an egocentric quantitative disparity map. This map leads to a quantitative depth scene representation that provides the raw input for a qualitative approach. So, the reasoning method infers the data required to make the right decision at any time. As it will be shown, the experimental results highlight the robust performance of the biologically inspired approach presented in this paper. [-]
Publicat a
Computational intelligence and neuroscience, 2018, vol. 2018Proyecto de investigación
Ministerio de Economia y Competitividad: DPI2015-69041-R; Universitat Jaume IDrets d'accés
info:eu-repo/semantics/openAccess
Apareix a les col.leccions
- ICC_Articles [424]
Els següents fitxers sobre la llicència estan associats a aquest element: