Self-vehicle Positioning Using Smart Infrastructures
| Autor: | Marcia Pasin, Assia Belbachir |
|---|---|
| Přispěvatelé: | Institut Polytechnique des Sciences Avancées (IPSA) |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Vehicular ad hoc network
Positioning system business.industry Computer science Real-time computing 020206 networking & telecommunications Context (language use) 02 engineering and technology GPS signals [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] [INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA] 0202 electrical engineering electronic engineering information engineering Global Positioning System [INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO] 020201 artificial intelligence & image processing [INFO.INFO-ES]Computer Science [cs]/Embedded Systems business Protocol (object-oriented programming) Energy (signal processing) Inertial navigation system ComputingMilieux_MISCELLANEOUS |
| Zdroj: | International Conference on Principles and Practice of Multi-Agent Systems International Conference on Principles and Practice of Multi-Agent Systems, pp.452-459, 2019, ⟨10.1007/978-3-030-33792-6_29⟩ PRIMA 2019: Principles and Practice of Multi-Agent Systems ISBN: 9783030337919 PRIMA |
| DOI: | 10.1007/978-3-030-33792-6_29⟩ |
| Popis: | Localization is crucial to many vehicular applications and is usually carried out using the Geographical Positioning System (GPS). However, when the GPS signal is unavailable, other solutions can be applied such as camera images and Inertial Navigation System (INS) to know about its movement in order to calculate the actual positions. However, such techniques can be costly in consumption in terms of processing time and energy. Moreover, INS is subject to cumulative errors. In order to improve positioning, information coming from other sensors can be a solution. Thus, this paper proposes a self-adaptive protocol for vehicle localization using smart infrastructure support in GPS free environments. In this context, an autonomous vehicle with unknown localization interacts with the infrastructure sensors to infers its position. Experiments with the adaptive protocol were conducted in a robotic platform. Our obtained results are promising and the maximum error percentage that our localization protocol gets from all our experiments is equal to 0.3%, which indicated an effective value for the precision metric. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|