Visuospatial Working Memory for Autonomous UAVs: A Bio-Inspired Computational Model

Autor: Salvador Cervantes, José-Antonio Cervantes, Adriana Mexicano, Sonia López, Jonathan-Hernando Rosales
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Applied Sciences, Vol 11, Iss 6619, p 6619 (2021)
Applied Sciences
Volume 11
Issue 14
ISSN: 2076-3417
Popis: Visuospatial working memory is a fundamental cognitive capability of human beings needed for exploring the visual environment. This cognitive function is responsible for creating visuospatial maps, which are useful for maintaining a coherent and continuous representation of visual and spatial relationships among objects present in the external world. A bio-inspired computational model of Visuospatial Working Memory (VSWM) is proposed in this paper to endow Autonomous Unmanned Aerial Vehicles (UAVs) with this cognitive function. The VSWM model was implemented on a low-cost commercial drone. A total of 30 test cases were designed and executed. These test cases were grouped into three scenarios: (i) environments with static and dynamic vehicles, (ii) environments with people, and (iii) environments with people and vehicles. The visuospatial ability of the VSWM model was measured in terms of the ability to classify and locate objects in the environment. The VSWM model was capable of maintaining a coherent and continuous representation of visual and spatial relationships among interest objects presented in the environment even when a visual stimulus is lost because of a total occlusion. The VSWM model proposed in this paper represents a step towards autonomous UAVs capable of forming visuospatial mental imagery in realistic environments.
Databáze: OpenAIRE