Vehicle positioning based on UWB technology

Hu, Siquan; Kang, Min Ho; She, Chundong

doi:10.1088/1742-6596/887/1/012069

Cited by 11 publications

(8 citation statements)

References 3 publications

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“…In this technique, the requred time to propagate the signal from the source to the distinction is converted to distance based on the relation d=t×c, where c is light speed [18]. For localization purpose, TOA technique have been proposed in some pervious works [19], [20]. Hu et al [20] developed a new method of vehicle positioning based on ultra-wide band (UWB) technique using TOA and below 10 cm ranging error was achieved.…”

Section: Time Of Arrived Based Rangingmentioning

confidence: 99%

“…For localization purpose, TOA technique have been proposed in some pervious works [19], [20]. Hu et al [20] developed a new method of vehicle positioning based on ultra-wide band (UWB) technique using TOA and below 10 cm ranging error was achieved. However, to improve the TOA ranging accuracy, real time synchronization between both source and distination is required [21].…”

Section: Time Of Arrived Based Rangingmentioning

confidence: 99%

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A survey of ranging techniques for vehicle localization in intelligence transportation system: challenges and opportunities

Bakhuraisa

Aziz

Geok

et al. 2022

IJECE

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<span lang="EN-US">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.</span>

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Section: Time Of Arrived Based Rangingmentioning

confidence: 99%

Section: Time Of Arrived Based Rangingmentioning

confidence: 99%

A survey of ranging techniques for vehicle localization in intelligence transportation system: challenges and opportunities

Bakhuraisa

Aziz

Geok

et al. 2022

IJECE

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“…UWB positioning may improve localisation accuracy to less than 1 m [10]. In [25], Hu et al provide another example that accurately adjusts distance of outdoor vehicles to 10 cm. Recharge efficiency, therefore, could be more optimistically modelled by incorporating better localization techniques.…”

Section: Limitationsmentioning

confidence: 99%

Optimal Recharge Scheduler for Drone-to-Sensor Wireless Power Transfer

2021

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Wireless recharging by autonomous power delivery vehicles is an attractive maintenance solution for Internet of Things devices. Improving the operating efficiency of power delivery vehicles is challenging due to complex dynamic environments and the need to solve difficult optimization problems to determine the best combination of routes, number of vehicles, and numerous safety thresholds prior to deployment. The optimal recharge scheduling problem considers minimizing discharged energy of drones while maximizing devices' recharged energy. In this paper, a configurable optimal recharge scheduler is proposed that incorporates several evolutionary and clustering approaches. A modified version of the Black Hole algorithm is presented, which is shown to execute on average 35% faster than the state of the art genetic approach, while delivering comparable performance in simulation across 18 scenarios with varying area and density of sensor nodes deployed under different initialization scenarios.

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“…Finally, the cost is cheaper. Therefore, UWB becomes attractive in different applications like tracking [16]. UWB operates by transmitting and receiving an exceptionally short duration burst of RF energy-typically a few tenths of a picosecond to a few nanoseconds in duration [17].…”

Section: Local Positioning System (Lps)mentioning

confidence: 99%

Graphical User Interface (GUI) for Local Positioning System Based on Labview

Hasan¹,

Hussein²,

Saad³

et al. 2019

IJMLC

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Local position system (LPS) becomes more and more diversified and increasingly important in large numbers of applications and contexts such as healthcare, targeted, monitoring, tracking and security. In LPS, three anchors at least with known position are employed with one tag for localization. In this paper, LPS which contains three anchors and one tag is used to get positioning. Tag position represents user location. It estimates by using UWB technology which sending signal based on triangulation method with assist of Labview. By using Labview coding the position of each anchors can be read successful after connection all anchors and tag with PC and router. The positioning of tag in (x, y) direction, successfully update immediately when tag moving which is shown in graph. Therefore, the Graphical User Interface (GUI) for LPS based on Labview is achieved to determine the user positioning with positioning error less than 17cm. We believe this paper would catalyze further investigation by the researcher which deal with both of LPS field and Labview. Index Terms-Local positioning system, anchors, tag, UWB, graphical user interface, Labview. 2 , 2 represent position of the receiver 2,(both are known position ). (x, y) is unknown position of source position.

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Vehicle positioning based on UWB technology

Cited by 11 publications

References 3 publications

A survey of ranging techniques for vehicle localization in intelligence transportation system: challenges and opportunities

A survey of ranging techniques for vehicle localization in intelligence transportation system: challenges and opportunities

Optimal Recharge Scheduler for Drone-to-Sensor Wireless Power Transfer

Graphical User Interface (GUI) for Local Positioning System Based on Labview

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