An Instantaneous Lane-Level Positioning Using DSRC Carrier Frequency Offset

Alam, Nima; Balaei, Asghar Tabatabaei; Dempster, Andrew G.

doi:10.1109/tits.2012.2195177

Cited by 68 publications

(36 citation statements)

References 23 publications

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“…One example is platooning of cars and dismounted forces. Another example is the intelligent transportation system (ITS) where dedicated short‐range communications (DSRC) radios are used to establish vehicle to vehicle (V2V) and vehicle to infrastructure (V2I) links for public safety (collision avoidance and driver alerts) and traffic management (traffic flow control and congestion reduction) .…”

Section: Introductionmentioning

confidence: 60%

Covariance Analysis of Spatial and Temporal Effects of Collaborative Navigation

Yang¹,

Soloviev

2014

J Inst Navig

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Collaborative navigation allows a group of mobile networked users to improve their navigation performance. Each node in the network has a means of its own to navigate (e.g. INS/GPS). However, individual navigation performance is limited due to, for instance, inertial sensor drifts when GPS signal is lost. By exchanging navigation states and in particular obtaining relative measurements (range, range rate or angular) via radio communications, the distributed nodes collaborate and serve as anchors for one another. In this paper, we investigate spatial and temporal effects of collaborative navigation. The improvement in navigation performance is affected by the number of collaborating nodes and inter-node measurement quality in relation to the uncertainty of individual navigation states (spatial effect). Navigation errors after inter-node measurement exchanges become correlated, which limits further reduction in errors by subsequent measurements (temporal effect). Understanding of such fundamental effects provides practical guidelines for optimal design of communication protocols and estimation algorithms.

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Section: Introductionmentioning

confidence: 60%

Covariance Analysis of Spatial and Temporal Effects of Collaborative Navigation

Yang¹,

Soloviev

2014

J Inst Navig

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“…Some examples of CFO based CP are presented in [4,5,6]. The accuracy of range rating depends on the CFO observation noise.…”

Section: Lmu Preliminary Test Resultsmentioning

confidence: 99%

“…Although DSRC clocks were synchronised with GPS time, the millisecond order is achieved which is absolutely useless for ranging purposes. However, this accuracy can be used for coarse synchronization required for the CP techniques presented in [4,6].…”

Section: Lmu Preliminary Test Resultsmentioning

confidence: 99%

Collaborative navigation with ground vehicles and personal navigators

Kealy

Alam

Toth

et al. 2012

2012 International Conference on Indoor Positioning and Indoor Navigation (IPIN)

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An integrated positioning solution termed 'collaborative positioning' employs multiple location sensors with different accuracy on different platforms for sharing of their absolute and relative localizations. Typical application scenarios are dismounted soldiers, swarms of UA V's, team of robots, emergency crews and first responders. The stakeholders of the solution (i.e., mobile sensors, users, fixed stations and external 978-1-4673-1954-6/12/$31.00 databases) are involved in an iterative algorithm to estimate or improve the accuracy of each node's position based on statistical models. This paper studies the challenges to realize a public and low-cost solution, based on mass users of multiple sensor platforms. For the investigation field experiments revolved around the concept of collaborative navigation, and partially indoor navigation. For this purpose different sensor 2012 International Conference on Indoor Positioning and Indoor Navigation, 13_15 th November 2012 platforms have been fitted with similar type of sensors, such as geodetic and low-cost high-sensitivity GNSS receivers, tactical grade IMU's, MEMS-based IMU's, miscellaneous sensors, including magnetometers, barometric pressure and step sensors, as well as image sensors, such as digital cameras and Flash LiDAR, and ultra-wide band (UWB) receivers. The employed platforms in the tests include a train on a building roof, mobile mapping vans, a personal navigator and a foot tracker unit. In terms of the tests, the data from the different platforms are recorded simultaneously. Several field experiments conducted in a week at the University of Nottingham are described and investigated in the paper. The personal navigator and a foot tracker unit moved on the building roof, then trough the building down to where it logged data simultaneously with the vans, all of them moving together and relative to each other. The platforms then logged data simultaneously covering various accelerations, dynamics, etc. over longer trajectories. Promising preliminary results of the field experiments showed that a positioning accuracy on the few meter level can be achieved for the navigation of the different platforms.

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“…Keeping the driving lane, there are several studies using Global Positioning System (GPS), RF-ID system, and Dedicated Short-Range Communication (DSRC) [1]. GPS has probThe present study was supported by JSPS KAKENHI Grant Number 18651082, 24510221, 26420335, and 15K01222.…”

Section: Introductionmentioning

confidence: 99%

Vehicle navigation in the intersection with data stored driving lane and UHF RF-ID system

Kawamura

Kashiwa

Imai

et al. 2015

2015 IEEE International Conference on Vehicular Electronics and Safety (ICVES)

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In our previous work, we engaged in vehicle navigations system with UHF RF-ID system against low visible condition. During the winter, northern part of Japan, driving lane is covered with snow and ice and we sometime meet heavy snowfall. Occasionally, some drivers go out from their driving lane in low visible condition caused by snow storm. Our navigation system is made to prevent such traffic accidents with low visible condition. There are several studies related on lane departure warning and vehicle positioning with GPS, DSRC, and other technique. These systems have virtues and weakness for our circumstance. In this paper, we will discuss vehicle navigation for turn action in the intersection with data stored driving lane and related issues.

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An Instantaneous Lane-Level Positioning Using DSRC Carrier Frequency Offset

Cited by 68 publications

References 23 publications

Covariance Analysis of Spatial and Temporal Effects of Collaborative Navigation

Covariance Analysis of Spatial and Temporal Effects of Collaborative Navigation

Collaborative navigation with ground vehicles and personal navigators

Vehicle navigation in the intersection with data stored driving lane and UHF RF-ID system

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