Magnetic vehicle guidance

Santos, P. H. M.; Holé, Stephane; Filloy, C.; Fournier, Danièle

doi:10.1108/02602280810856697

Cited by 7 publications

(5 citation statements)

References 2 publications

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“…In the case of positioning, some of these V2I systems use magnets burred in or deposited on the road so they are mostly not disturbed by weather conditions [ 22 , 23 , 24 ]. However, magnetic field is inversely proportional to the cube of distance between magnet and sensor [ 25 ], so an installation at the lane edge or underneath the surface implies the use of strong magnets to cover all the roadway.…”

Section: Introductionmentioning

confidence: 99%

Lateral Position Measurement Based on Vehicles’ Longitudinal Displacement

Mohsen

Ditchi²,

Holé³

et al. 2020

Sensors

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The lateral position of a vehicle in its lane is crucial information required to develop intelligent assistant driving systems. Current studies reveal this information by mixing multiple sources such as cameras, LiDAR or accurate GNSS. Because these systems are not efficient in some degraded weather conditions, a cooperative Vehicle-to-Infrastructure sensor has been developed to help to determine lateral position of a vehicle in its lane. In this paper, the authors propose a completely new and original way to estimate lateral position of the vehicle in its lane using the longitudinal displacement. Using a system based on a hyper-frequency interaction between a transceiver module embedded in the vehicle and passive transponders that can be integrated in the road, for instance under the lane markings, a new signal processing algorithm is presented in order to determine the lateral distance between the vehicle and the transponder axis. The sensor has been tested in an external environment and has shown an estimated lateral distance error of 8 cm at most.

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Section: Introductionmentioning

confidence: 99%

Lateral Position Measurement Based on Vehicles’ Longitudinal Displacement

Mohsen

Ditchi²,

Holé³

et al. 2020

Sensors

Self Cite

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“…Alternatively, automatic coupling can achieve an accuracy of <1 cm and runs faster than humans and a possible accuracy to be achieved by humans. In all these types of applications, RAP is essential to facilitate these applications [8] [9].Systems increase GPS satellite and always suffered dilution of precision (DOP) in adverse conditions where they blocked the satellite signals and low elevation angles tri-lateration distort the geometry diluted and the accuracy of the calculated position significantly. There have been several attempts to increase satellite solutions with other wireless signals, especially with the cellular signal as in [10] [11] and with broadband as in [12] [13].…”

Section: Introductionmentioning

confidence: 99%

“…There have been several attempts to increase satellite solutions with other wireless signals, especially with the cellular signal as in [10] [11] and with broadband as in [12] [13]. Other researchers avoid altogether and built on road GPS markers, such as magnetic guidance systems as in [6] [8] [9] .Our research focuses on the use of high availability urban environment 802.11 signals. We discussed some of the factors behind short-range wireless DOP.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Clustering for Improved Positioning

Kiwan¹,

Morgan²

2015

IJIT

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In this research, we focused on developing positioning system based on common short-range wireless. So we developed a system that assumes the existence of a number of fixed access points (5+) and employ arrival difference (TDOA) with Kalman filter. We also discuss multiple / tri-lateration and evaluate some of the root causes dilution of precision (DOP) positioning using Kalman Filter. This article presents a simpler approach fuzzy clustering (SFCA) to support the short-range positioning. We use fixed access points calibrated at 2.4 GHz. We use real time data observed in the application of our model offline. We have extended the model to mimic the signals communications (DSRC) 5.9 GHz dedicated short range, as defined in 1609.x. IEEE The results are compared in each case with respect to the metering plate need Differential Global Positioning System (DGPS) captured in the same test. We kept Line-of-Sight (LOS) in all our clear assessment and use of vehicles (<60 km / h) moving at low speed. Two different options for implementing the SFCA are presented, analysed and compared the two.

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“…Unfortunately, these systems are costly which prevents their wide scale use. In order to reduce the cost, a system using magnetic painted strip in the middle of the lane has been developed [12]. It allowed in addition to embedding infrastructure information in the strips.…”

Section: Introductionmentioning

confidence: 99%

RF Infrastructure Cooperative System for in Lane Vehicle Localization

et al. 2014

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This paper presents a sensor which can be included in an Advanced Driver Assistance System (ADAS) that is compliant with the Vehicle to Infrastructure communication standard (V2I). This system allows estimation of the vehicle lateral position in real time by ensuring cooperation between an on-board vehicle system and passive transponders integrated in the lateral white strips of the road. Based on an optimization method, the lateral position vehicle is provided with a distance error less than 3 cm. In this paper, experimental results are presented in order to evaluate the robustness of the proposed system in a realistic environment. Three scenarios are considered to take into account the bitumen properties, the presence of parasitic reflectors in different positions around the system and the interaction between transponders.

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Magnetic vehicle guidance

Cited by 7 publications

References 2 publications

Lateral Position Measurement Based on Vehicles’ Longitudinal Displacement

Lateral Position Measurement Based on Vehicles’ Longitudinal Displacement

Fuzzy Clustering for Improved Positioning

RF Infrastructure Cooperative System for in Lane Vehicle Localization

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