Improving GPS-based vehicle positioning for Intelligent Transportation Systems

Amini, Arghavan; Vaghefi, Reza Monir; Garza, Jesús M. de la; Buehrer, R. Michael

doi:10.1109/ivs.2014.6856592

Cited by 48 publications

(27 citation statements)

References 25 publications

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“…For relative positioning approach, vehicles are located relatively to surrounding local objects such as other vehicles, lane marking, parking lot positions etc.. An example of this method can be found in [9] with lane extraction and relative positioning. A vehicle to vehicle communication method to improve localization accuracy is proposed in [10]. A method for detecting parking slot position in [11] using multiples cameras on vehicles yields 0.2 meters of error in localization.…”

Section: State Of the Artmentioning

confidence: 99%

Wifi fingerprinting localization for intelligent vehicles in car park

Nguyen

Charette

Nashashibi

et al. 2018

2018 International Conference on Indoor Positioning and Indoor Navigation (IPIN)

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In this paper, a novel method of WiFi fingerprinting for localizing intelligent vehicles in GPS-denied area, such as car parks, is proposed. Although the method itself is a popular approach for indoor localization application, adapting it to the speed of vehicles requires different treatment. By deploying an ensemble neural network for fingerprinting classification, the method shows a reasonable localization precision at car park speed. Furthermore, a Gaussian Mixture Model (GMM) Particle Filter is applied to increase localization frequency as well as accuracy. Experiments show promising results with average localization error of 0.6m.

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Section: State Of the Artmentioning

confidence: 99%

Wifi fingerprinting localization for intelligent vehicles in car park

Nguyen

Charette

Nashashibi

et al. 2018

2018 International Conference on Indoor Positioning and Indoor Navigation (IPIN)

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“…The vehicle tracker lets the parents and children to comfortably plan their journey to the bus stop. A recent study on improving GPS-based vehicle positioning [47] stated that the GPS technology based conventional localization techniques are not able to provide reliable and accurate positioning in all situations. Also, providing real-time access to the stakeholders without network latency is a challenging task.…”

Section: Ists Challengesmentioning

confidence: 99%

Intelligent Safety Transport Framework for Schools: A Review of Route Planning and Tracking Systems

et al. 2016

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Abstract. This work presents a review of recent literature in intelligent school transportation frameworks, particularly focusing on route planning, real time vehicle and children tracking. The focus on route planning and tracking is to identify the hidden practical problems and threats present in school transportation, bearing in mind safety. Different methods and technologies used for route planning and vehicle as well as children tracking are reviewed. A discussion is provided on the current frameworks along with the challenges and future research direction.

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“…Moreover, another drawback is the poor accuracy of data; in fact, many GPS sensors give errors of few centimeters that yield to inappropriate short term measurements. Nevertheless, some works have been presented [13], [14], to enhance the performance of GPS also in dense and indoor environments.…”

Section: A Related Workmentioning

confidence: 99%

An Embedded Vision System for Real-Time Autonomous Localization Using Laser Profilometry

Patruno

Marani

Nitti

et al. 2015

IEEE Trans. Intell. Transport. Syst.

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In this paper, we propose an embedded vision system based on laser profilometry able to get the pose of a vehicle and its relative displacements with reference to the constitutive media of a structured environment. Fundamental equations for laser triangulation are developed and encoded for their actual implementation on an embedded system. It is made of a laser source that projects a line-shaped beam onto the environment and an on-chip camera able to frame the laser light. Images are then sent to the inexpensive Raspberry Pi onboard computer, which is responsible for processing tasks. For the first time, laser profilometry is coupled with the correlation of laser signatures on a low-cost and low-resource processing board for vehicle localization purposes. Several validation tests of the proposed sensor have proven the effectiveness of the system with respect to commercially available sensors such as inductive sensors and standard odometers, which fail when the vehicle crosses path interceptions or its wheels undergo unavoidable slippages. Moreover, further comparisons with other vision-based techniques have also proven the good performances of this embedded system for real-time localization of vehicles.Index Terms-Visual odometry, image processing, laser profilometry, indoor autonomous vehicle navigation, real-time embedded systems. 1524-9050

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Improving GPS-based vehicle positioning for Intelligent Transportation Systems

Cited by 48 publications

References 25 publications

Wifi fingerprinting localization for intelligent vehicles in car park

Wifi fingerprinting localization for intelligent vehicles in car park

Intelligent Safety Transport Framework for Schools: A Review of Route Planning and Tracking Systems

An Embedded Vision System for Real-Time Autonomous Localization Using Laser Profilometry

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