期刊
IEEE ACCESS
卷 9, 期 -, 页码 17921-17942出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2021.3052316
关键词
Location awareness; Radiofrequency identification; Sensors; Sensor systems; Simultaneous localization and mapping; Sensor fusion; Trajectory; Autonomous vehicle; data fusion; exteroceptive sensors; localization; navigation; proprioceptive sensors; RFID; robot; tracking; sensor fusion; SLAM; UGV
资金
- University of Pisa through the Project AURORA of the Bando Dimostratori Tecnologici'' [D.R 1528]
- Regione Toscana (POR FESR 2014-2020-Line 1-Research and Development Strategic Projects) [7165.24052017.112000028]
- Italian Ministry of Education and Research (MIUR)
This paper provides a detailed analysis on three main categories of vehicle localization systems, discussing implementation details and methodology, highlighting applied RFID technology and parameters used. The survey focuses on achievable localization performance, considering infrastructure-deployment costs and complexity. Pros and cons of each method are highlighted, along with the main challenges and perspectives of RFID-based solutions for vehicle localization.
This paper presents a state-of-the-art analysis on the methods suitable for vehicle indoor localization and exploiting the RFID (Radio Frequency IDentification) technology. The survey describes three main categories of vehicle localization systems: (i) solutions exploiting only the RFID technology, (ii) sensor-fusion techniques combining data from RFID systems and proprioceptive sensors, and (iii) sensor-fusion techniques combing RFID data with those of other exteroceptive sensors in addition to the RFID system itself. For each method, implementation and methodological details are discussed, by highlighting the applied RFID technology, namely passive HF-RFID, passive UHF-RFID, or any other RFID system. Also, the employed RFID parameters, i.e., tag EPC, RSSI or backscattered phase, are discussed. The survey focuses on the achievable localization performance, also accounting for infrastructure-deployment costs together with complexity and maintenance overhead. Positioning, tracking, navigation and simultaneous localization and mapping (SLAM) issues are here considered. The analysis highlights pros and cons of each method, together with the main challenges and perspectives of RFID-based solutions for vehicle localization.
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