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2019 | OriginalPaper | Chapter

Assessment of GNSS and Map Integration for Lane-Level Applications in the Scope of Intelligent Transportation Location Based Services (ITLBS)

Authors : Emerson Pereira Cavalheri, Marcelo Carvalho dos Santos

Published in: International Symposium on Advancing Geodesy in a Changing World

Publisher: Springer International Publishing

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Abstract

To enable safe and robust Intelligent Transportation Systems (ITS) applications, the integration of different sensors and techniques will certainly be a common reality. One application in this context is the lane-keeping techniques for autonomous driving systems. These systems normally use imagery sensors for lane identification, however imagery systems always depend on light and well-structured roads. One potential worldwide autonomous driving technique without any other lane and road detection/identification sensor would be GNSS positions along with accurate map information. However, this fusion depends on the accuracy and reliability of both GNSS positions and map information. The positioning accuracy that Intelligent Transportation Location Based Services (ITLBS) requires for where-in-lane and active control applications are 0.5 m and 0.1 m, respectively. To evaluate the potential of fusion, this work proposes an integration of GNSS and map information in the attempt to address the lane-keeping problem. This integration is performed by merging a GNSS solutions and lane centerline positions, acquired from aerial orthophotos, into a Kalman Filter and a simple map matching approach. To measure the positioning error, or off-track performance, a conversion of positions to the road space is necessary. To evaluate the results, a positioning accuracy limit, considering the road, vehicle dimensions, and the requirements for ITLBS is also proposed. The results showed that 95% of the time the proposed methodology off-track performances were within 1.89 m, in an average of 4 runs. Half of the runs were within 0.75 m, in average, at 95% of the time. Compared to an accurate GNSS Post Processed Kinematic (PPK) mode, an improvement of 10% was achieved.

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Literature
go back to reference Bishop R (2005) Intelligent vehicle technology and trends. Artech House, Boston Bishop R (2005) Intelligent vehicle technology and trends. Artech House, Boston
go back to reference Grover R, Hwang PYC (1992) Introduction to random signals and applied Kalman filtering. Wiley, New York Grover R, Hwang PYC (1992) Introduction to random signals and applied Kalman filtering. Wiley, New York
go back to reference Hillel AB, Lerner R, Levi D, Raz G (2014) Recent progress in road and lane detection: a survey. Mach Vis Appl 25(3):727–745CrossRef Hillel AB, Lerner R, Levi D, Raz G (2014) Recent progress in road and lane detection: a survey. Mach Vis Appl 25(3):727–745CrossRef
go back to reference Hu C, Chen W, Chen Y, Liu D (2003) Adaptive Kalman filtering for vehicle navigation. J Glob Positioning Syst 2(1):42–47CrossRef Hu C, Chen W, Chen Y, Liu D (2003) Adaptive Kalman filtering for vehicle navigation. J Glob Positioning Syst 2(1):42–47CrossRef
go back to reference Li Q, Chen L, Li M, Shaw SL, Nuchter A (2014) A sensor-fusion drivable-region and lane-detection system for autonomous vehicle navigation in challenging road scenarios. 63(2):540–555 Li Q, Chen L, Li M, Shaw SL, Nuchter A (2014) A sensor-fusion drivable-region and lane-detection system for autonomous vehicle navigation in challenging road scenarios. 63(2):540–555
go back to reference Miller KS, Leskiw DM (1987) An introduction to Kalman Filtering with applications. Riverside Research Institute, New York Miller KS, Leskiw DM (1987) An introduction to Kalman Filtering with applications. Riverside Research Institute, New York
go back to reference Quddus MA, Ochieng WY, Zhao L, Noland RB (2003) A general map matching algorithm for transport telematics applications. GPS Solut 7(3):157–167CrossRef Quddus MA, Ochieng WY, Zhao L, Noland RB (2003) A general map matching algorithm for transport telematics applications. GPS Solut 7(3):157–167CrossRef
go back to reference Quddus MA, Ochieng WY, Noland RB (2007) Current map-matching algorithms for transport applications: state-of-the art and future research directions. Transp Res Part C: Emerg Technol 15(5):312–328CrossRef Quddus MA, Ochieng WY, Noland RB (2007) Current map-matching algorithms for transport applications: state-of-the art and future research directions. Transp Res Part C: Emerg Technol 15(5):312–328CrossRef
go back to reference Ristic B, Arulampalam S, Gordon N (2004) Beyond the Kalman filter: particle filters for tracking applications. Artech House, Boston Ristic B, Arulampalam S, Gordon N (2004) Beyond the Kalman filter: particle filters for tracking applications. Artech House, Boston
go back to reference Stephenson S, Meng X, Moore T, Baxendale A, Ford T (2011) Accuracy requirements and benchmarking position solutions for intelligent transportation location based services. In: Proceedings of the 8th international symposium on location-based services Stephenson S, Meng X, Moore T, Baxendale A, Ford T (2011) Accuracy requirements and benchmarking position solutions for intelligent transportation location based services. In: Proceedings of the 8th international symposium on location-based services
Metadata
Title
Assessment of GNSS and Map Integration for Lane-Level Applications in the Scope of Intelligent Transportation Location Based Services (ITLBS)
Authors
Emerson Pereira Cavalheri
Marcelo Carvalho dos Santos
Copyright Year
2019
DOI
https://doi.org/10.1007/1345_2018_45