Lane Keeping Based on Location Technology

Wang, Jin; Schroedl, Stefan; Mezger, K.; Ortloff, R.; Joos, A.; Passegger, T.

doi:10.1109/tits.2005.853701

Cited by 77 publications

(26 citation statements)

References 2 publications

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“…This might be further improved by fusing vision data with GPS data (e.g., [21]), or combining the GPS with other features which are measured by the car [22], [23].…”

Section: Monitoring the Position Of A Vehiclementioning

confidence: 99%

Lane Determination With GPS Precise Point Positioning

Knoop

Bakker

Tiberius

et al. 2017

IEEE Trans. Intell. Transport. Syst.

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Abstract-Modern Intelligent Transport Solutions can achieve improvement of traffic flow on motorways. With lane-specific measurements and lane-specific control more measures are possible. Single Frequency Precise Point Positioning (PPP) is a newly developed and affordable technique to achieve an improved position accuracy compared to Global Positioning System (GPS) standalone positioning. GPS-PPP allows for sub-meter accurate positioning, in real time, of vehicles on a motorway. This paper tests this technique in real life; moreover, it presents a methodology to map the lanes on a motorway using data collected by this technique. The methodology exploits the high accuracy and the fact that most driving is within a lane. In a field test, a GPS-PPP equipped vehicle drives a specific motorway stretch 100 times, for which the GPS-PPP trajectory data are collected. Using these data the positions and the widths of different lanes are successfully estimated. Comparison with the ground truth shows a dm accuracy. With the parametrized lanes, vehicles can be tracked down to a lane with the GPS-PPP device.

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“…This might be further improved by fusing vision data with GPS data (e.g., [21]), or combining the GPS with other features which are measured by the car [22], [23].…”

Section: Monitoring the Position Of A Vehiclementioning

confidence: 99%

Lane Determination With GPS Precise Point Positioning

Knoop

Bakker

Tiberius

et al. 2017

IEEE Trans. Intell. Transport. Syst.

View full text Add to dashboard Cite

show abstract

“…In particular, it can be found that there is a rising interest in positioning at the lane level . High precision differential Global Positioning System (DGPS) receiver, inertial sensors and the electronic road map database can be integrated to calculate vehicle position at an accuracy level of lane resolution, which may provide benefits for specific vehicle safety applications, such as lane keeping (Wang, et al, 2005), lane departure warning, cruise control and fuel-economy (Chen, et al, 2010). In order to meet the requirements of cooperative applications to enhance vehicle safety at unsignalized intersections, lane level vehicle positioning is of great importance to provide a basis for vehicle state detection and collision risk evaluation, and has been an indispensable factor to achieve an accurate and complete safety assurance for VCAS and other related applications.…”

Section: Lane-level Vehicle Positioningmentioning

confidence: 99%

Performance Evaluation of Lane Level Positioning Based Vehicle Collision Avoidance for Cooperative Vehicle Infrastructure System

et al. 2012

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Accurate and real-time vehicle positioning, especially at the lane level, is essential for many of the applications of cooperative vehicle infrastructure system (CVIS), which is a prospective trend of future intelligent transportation systems. Integration of on-board sensors, a digital road map database and support from V2V communication is critical to maximize the benefits to achieve lane-level precision for specific applications, in particular collision avoidance for traffic safety assurance. In this paper, design of the lane-level positioning based vehicle collision avoidance system (VCAS) is presented, the issue of multi-sensor fusion filtering is discussed, and then the vehicle collision avoidance strategy for unsignalized intersections is detailed and analyzed. Practical road map measurements are employed to build scenarios with simulated vehicle trajectories, by which simulations are carried out to evaluate impacts of positioning and communication qualities for the proposed VCAS scheme and solutions. The simulation results demonstrate the capabilities of vehicle safety assurance and efficiency improvement for specific cooperative vehicle infrastructure system applications.

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“…Despite rapid advancement of vehicle information systems for localizing [11], planning[3], regulating [12] and operating[10] maneuvering processes, the scope of decision making in naturally complex scenes is still confined by on-vehicle control systems to be finally grounded on physical-geometric perspective. Recently, it has been demonstrated that vehicle control systems can be networked and deployed as a multitude of remote-visions for over-the-horizon coordination of the maneuvering processes[8]; images of distant scenes are localized and analyzed by probe vehicles to augment geographic annotations to a cut of satellite image.…”

Section: Introductory Remarksmentioning

confidence: 99%

Stochastic Graph Minor Generation via Dynamic Reference to Geographics Annotation

Kamejima

2012

Transactions of ISCIE

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A stochastic-computational scheme is presented for generating as-is graph structure spanning complex local geographics. In this schematics, GPS tracks uploaded by a multitude of probe vehicles are exploited to expand a network of feasible roadway patterns. By associating the GPS tracks with a multitude of Brownian motions conditioned by landmark allocation, the graph structure is successively augmented in terms of feasible roadway segments. In reference to the augmented information, symbolic design of over-the-horizon maneuvering process can be interactively substantiated into a chain of topological minors grounded on the local geographics. Introductory RemarksDespite rapid advancement of vehicle information systems for localizing [11], planning[3], regulating [12] and operating[10] maneuvering processes, the scope of decision making in naturally complex scenes is still confined by on-vehicle control systems to be finally grounded on physical-geometric perspective. Recently, it has been demonstrated that vehicle control systems can be networked and deployed as a multitude of remote-visions for over-the-horizon coordination of the maneuvering processes[8]; images of distant scenes are localized and analyzed by probe vehicles to augment geographic annotations to a cut of satellite image. Such augmented annotations provide logical basis for multi-participant cooperation over the physicalgeometric perspective [7]. For instance, future visitors to the scene can retrieve the annotations to anticipatively adapt the on-board vision systems prior to physical access. To this end, a symbolic plan should be designed in reference to the landmark allocation annotated by probe vehicles as illustrated in Fig. 1 where a future visitor is required to compile a set of landmarks to specify a path connecting the origin and a possible destination. To substantiate the symbolic plan, in this schematics, a multitude of GPS tracks are convened from probe vehicles and matched with the landmark connection within the visualization of the local terrain. Through the symbol-to-trajectory association, a multitude of anticipative and/or graphbased road following systems[6,1] can be collectively organized towards an in-situ instantiation of vehicle * Manuscript Received

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Lane Keeping Based on Location Technology

Cited by 77 publications

References 2 publications

Lane Determination With GPS Precise Point Positioning

Lane Determination With GPS Precise Point Positioning

Performance Evaluation of Lane Level Positioning Based Vehicle Collision Avoidance for Cooperative Vehicle Infrastructure System

Stochastic Graph Minor Generation via Dynamic Reference to Geographics Annotation

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