Cargando…
Bio-inspired vision mimetics toward next-generation collision-avoidance automation
Autores principales: | Xu, Gary J.W., Guo, Kun, Park, Seop Hyeong, Sun, Poly Z.H., Song, Aiguo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9860380/ https://www.ncbi.nlm.nih.gov/pubmed/36691457 http://dx.doi.org/10.1016/j.xinn.2022.100368 |
Ejemplares similares
-
Decreasing Avoidable Vision Loss: Identifying Antecedents of Adherence
por: Morse, Alan R, et al.
Publicado: (2020) -
International Conference on Computational Vision and Bio-inspired Computing
por: Smys, S, et al.
Publicado: (2020) -
Computational vision and bio-inspired computing: ICCVBIC 2019
por: Smys, S, et al.
Publicado: (2020) -
A Bio-inspired Collision Avoidance Model Based on Spatial Information Derived from Motion Detectors Leads to Common Routes
por: Bertrand, Olivier J. N., et al.
Publicado: (2015) -
Neuromorphic Stereo Vision: A Survey of Bio-Inspired Sensors and Algorithms
por: Steffen, Lea, et al.
Publicado: (2019)