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Robustness of Bio-Inspired Visual Systems for Collision Prediction in Critical Robot Traffic
Collision prevention sets a major research and development obstacle for intelligent robots and vehicles. This paper investigates the robustness of two state-of-the-art neural network models inspired by the locust’s LGMD-1 and LGMD-2 visual pathways as fast and low-energy collision alert systems in c...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8378452/ https://www.ncbi.nlm.nih.gov/pubmed/34422912 http://dx.doi.org/10.3389/frobt.2021.529872 |