Minimalistic approach for monocular SLAM system applied to micro aerial vehicles in GPS-denied environments
In this work, a novel monocular simultaneous localization and mapping (SLAM) system with application to micro aerial vehicles is proposed. The main difference with respect to previous approaches is that a barometer is used as a unique sensory aid for incorporating altitude information into the syste...
| Autores: | , , , |
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| Tipo de documento: | artigo |
| Data de publicação: | 2018 |
| País: | España |
| Recursos: | Universitat Politècnica de Catalunya (UPC) |
| Repositório: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglês |
| OAI Identifier: | oai:upcommons.upc.edu:2117/328826 |
| Acesso em linha: | https://hdl.handle.net/2117/328826 https://dx.doi.org/10.1177/0142331217747343 |
| Access Level: | Acceso aberto |
| Palavra-chave: | Robot vision Drone aircraft Monocular SLAM Barometer-aided Micro aerial vehicles GPS-denied Visual-based navigation Visió artificial (Robòtica) Avions no tripulats Àrees temàtiques de la UPC::Informàtica::Robòtica |
| Resumo: | In this work, a novel monocular simultaneous localization and mapping (SLAM) system with application to micro aerial vehicles is proposed. The main difference with respect to previous approaches is that a barometer is used as a unique sensory aid for incorporating altitude information into the system in order to recover an absolute metric scale. First, an observability analysis of a simplified model of a monocular SLAM system is developed. From this analysis, several theoretical results are derived. Among others, one important result is related to the fact that the metric scale can become observable when measurements of altitude are included in the system. In this case, sufficient conditions for observability are presented. The design of the proposed method is based on these theoretical results. Simulations and experiments with real data are presented to validate the proposed approach. The results confirm that the metric scale can be retrieved by including altitude measurements in the system. It is also shown that the proposed method can be practically implemented, using low-cost sensors, to perform visual-based navigation in GPS-denied environments. |
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