A survey of ranging techniques for vehicle localization in intelligence transportation system: challenges and opportunities
Observing the vehicles movement becomes an urgent necessity due to exponentially increasing numbers of vehicles in the world. However, to this regard, a good deal of research had been presented to estimate the exact physical position of the vehicle. The major challenges faced vehicle localiz...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Institute of Advanced Engineering and Science
2022
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/8117/ http://eprints.uthm.edu.my/8117/1/J14851_5f15939c5fba35f300358a56bf9ad22e.pdf |
| Summary: | Observing the vehicles movement becomes an urgent necessity due to
exponentially increasing numbers of vehicles in the world. However, to this
regard, a good deal of research had been presented to estimate the exact
physical position of the vehicle. The major challenges faced vehicle
localization systems are large coverage areas required, positioning at diverse
environments and positioning during a high-speed movement. However, in
this paper, the challenges of employing the vehicle localization techniques,
which rely on the propagation signal properties, are discussed. Moreover, a
comparison between these techniques, in terms of accuracy, responsiveness,
scalability, cost, and complexity, is conducted. The presented positioning
technologies are classified into five categories: satellite based, radio
frequency based, radio waves based, optical based, and sound based. The
discussion shows that, both of satellite-based technology and cellular-based
technology are emerge solutions to overcome the challenges of vehicle
positioning. Satellite-based can provide a high accurate positioning in open
outdoor environment, whereas the cellular-based can provide accurate and
reliable vehicle localization in urban environment, it can support non-line of
sight (NLOS) positioning and provide large coverage and high data
transmission. The paper also shows that, the standalone localization
technology still has limitations. Therefore, we discussed how the presented
techniques are integrated to improve the positioning performance. |
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