Improving location of vehicles in rural roads
In the last years, the industry of autonomous and assisted driving has been emerging considerably. There are many aspects that should be considered to provide a secure and accurate system. One of them is the location mechanism, which should be able to work in any location and under any weather condi...
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| Tipo de recurso: | tesis de maestría |
| Fecha de publicación: | 2020 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/340252 |
| Acceso en línea: | https://hdl.handle.net/2117/340252 |
| Access Level: | acceso abierto |
| Palabra clave: | Autonomous vehicles Kalman filtering Ultra wideband Vehicle localization Kalman Filter Inertial Navigation System Vehicles autònoms Kalman, Filtratge de Àrees temàtiques de la UPC::Enginyeria de la telecomunicació |
| Sumario: | In the last years, the industry of autonomous and assisted driving has been emerging considerably. There are many aspects that should be considered to provide a secure and accurate system. One of them is the location mechanism, which should be able to work in any location and under any weather condition. There are many location solutions but the most traditional and globally used are the ones based on GNSS or image recognition. However, those methods have points of failure that can result in an accident. In certain conditions, to obtain a precise and reliable localization, further information is needed. Nowadays we can construct reference systems based on ultra-wideband (UWB) signals or based disturbances found on the road that can provide additional sources of information, enough to support an autonomous driving. In this thesis, an evaluation of a hybrid solution integrating UWB distance measurements and Inertial Navigation System (INS) for positioning a vehicle in a rural road is performed. |
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