Map Matching in Road Crossings of Urban Canyons Based on Road Traverses and Linear Heading-Change Model

Zhang, Xiaoguo; Wang, Qing; De-jun, Wan

doi:10.1109/tim.2007.908116

Cited by 16 publications

(9 citation statements)

References 12 publications

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“…16. This map indicates that some of the previously marked FSLs in FSL_MAP before were still malfunctioning (i.e., FSLs 5,11,12,13,16,and 20). However, if FSL f was malfunctioning prior to August 7 and had been repaired after August 7 the illumination intensity near f should have evidenced a significant illumination change.…”

Section: ) Evaluation Of Imaps When the Lighting Conditions Have Chamentioning

confidence: 97%

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A Low-Cost and Noninvasive System for the Measurement and Detection of Faulty Streetlights

Lee

Huang²

2015

IEEE Trans. Instrum. Meas.

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Badly lit roads lead to vehicle accidents and encourage crime. Therefore, it is important to rapidly detect and report faulty streetlights (FSLs) to the relevant authorities to keep roads safe. Currently, communities primarily depend on electrical inspectors to check streetlights regularly, which may result in long and unnecessary delays prior to repair. Recent studies have focused on adding a networking capability (i.e., a wireless sensor network) into street light poles to enable real-time status reports. However, a smart system that would incorporate sensors and network modules into every streetlight would be expensive; therefore, it would be nearly impossible to realize this system quickly. In this paper, we propose a noninvasive method for detecting faulty lights that involves designing special equipment, called the Hitchhiker, which could be installed on vehicles and would collect information about streetlights' intensity. This system would not require the modification of conventional streetlights. The collected data would be used to create illumination maps (IMaps), the analysis of which could help identify changes in lighting intensity in specific regions. As far as we know, this is an unprecedented approach; no other approaches use IMaps to find FSLs and consider cost and invasiveness. The proposed system could be extended to a citywide scale with minimal cost, and could be used as a complementary system for electrical inspectors possibly identifying FSLs sooner and shortening the duration of poor lighting on streets.

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Section: ) Evaluation Of Imaps When the Lighting Conditions Have Chamentioning

confidence: 97%

“…Another approach to dealing with GPS positioning errors is to apply a map-matching technique [12] (like a car navigation system) or a trajectory estimation [13] to correct the GPS position. This would avoid unwanted trajectory drifting.…”

Section: A Gps Positioning Errors and Mitigationmentioning

confidence: 99%

A Low-Cost and Noninvasive System for the Measurement and Detection of Faulty Streetlights

Lee

Huang²

2015

IEEE Trans. Instrum. Meas.

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“…A major impairment of the received GPS signal is caused by multipath fading. The effect of a strong multipath can result in a positioning error of more than 100m even though GPS signals can be obtained from more than four satellites [2].…”

Section: Introductionmentioning

confidence: 99%

Bayesian navigation system with particle filtering and dead reckoning in urban canyon environments

Sung

Kim

2012

2012 9th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON)

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A Bayesian navigation system is designed to enhance the performance of the position estimate for a pedestrian in urban canyon environments using particle filtering and digital compass on Smartphone. The particle filtering is used to correct the inaccurate GPS positioning data (position and direction) caused by the strong multipath in the urban areas. The digital compass readings are employed to correct the directional measurements of the positioning information estimated by the particle filtering, but they need to be calibrated with another particle filtering and GPS since they are subject to cumulative errors. In this demo, we demonstrate a real implementation of the proposed Bayesian navigation system on the iPhone 4S. The demo shows the enhanced performance of the new navigation scheme compared to using only GPS signals.

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“…For the accurate estimation of vehicle position, several researches were conducted. Cho and Choi [4] and Zhang et al [5] conducted researches to provide vehicle positions using dead reckoning (DR) and global positioning system (GPS) in urban canyons. In [4], DR and GPS integration systems were developed to overcome the weak point of the extended Kalman filter (EKF).…”

mentioning

confidence: 99%

“…It was focused on estimation filter structure with inertial measurements and pseudoranges. In [5], map matching method was introduced in addition to the DR/GPS integration. The advantage of these researches was that it could provide position solution via DR when GPS signals were blocked.…”

mentioning

confidence: 99%

GNSS Carrier Phase Anomaly Detection and Validation for Precise Land Vehicle Positioning

Won

Ahn

Lee

et al. 2015

IEEE Trans. Instrum. Meas.

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A carrier phase anomaly detection and validation method is proposed for precise vehicle positioning in dynamic environments. Given that carrier phase measurement is affected by satellite and user dynamics as well as unexpected anomalies, we propose four sequential processes to detect and identify an anomaly: 1) dynamics separation; 2) anomaly detection; 3) validation; and 4) position domain test. First, terms related to the satellite and user dynamics are estimated individually and removed from the carrier phase measurement to yield an error term, which possibly includes an anomaly and should be detected. The error term is examined with respect to a threshold level, and the measurement values are divided into anomaly candidates and normal candidates. Anomaly candidates are reexamined and validated one-by-one using a normal measurement set and the anomaly is determined. Finally, the position domain is evaluated so that position errors can be used as additional criteria for detecting the anomaly attributed to satellite deployment. The proposed algorithm is verified by simulation analyses and an experimental test. The proposed methods can be effective in detecting anomalies and increasing the reliability of precise vehicle positioning.

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Map Matching in Road Crossings of Urban Canyons Based on Road Traverses and Linear Heading-Change Model

Cited by 16 publications

References 12 publications

A Low-Cost and Noninvasive System for the Measurement and Detection of Faulty Streetlights

A Low-Cost and Noninvasive System for the Measurement and Detection of Faulty Streetlights

Bayesian navigation system with particle filtering and dead reckoning in urban canyon environments

GNSS Carrier Phase Anomaly Detection and Validation for Precise Land Vehicle Positioning

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