L
Lin Zhao
Researcher at Imperial College London
Publications - 5
Citations - 602
Lin Zhao is an academic researcher from Imperial College London. The author has contributed to research in topics: Dead reckoning & Global Positioning System. The author has an hindex of 4, co-authored 5 publications receiving 576 citations.
Papers
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Journal ArticleDOI
A general map matching algorithm for transport telematics applications
TL;DR: The algorithm is used together with the outputs of an extended Kalman filter formulation for the integration of GPS and dead reckoning data, and a spatial digital database of the road network, to provide continuous, accurate and reliable vehicle location on a given road segment.
Journal ArticleDOI
An Extended Kalman Filter Algorithm for Integrating GPS and Low Cost Dead Reckoning System Data for Vehicle Performance and Emissions Monitoring
TL;DR: In this article, the authors describe the features of an extended Kalman filter algorithm designed to support the navigational function of a real-time vehicle performance and emissions monitoring system currently under development.
Integration of GPS and dead reckoning for real-time vehicle performance and emissions
TL;DR: A high-level description of the real-time vehicle performance and emissions monitoring system is presented and the results of a study carried out to characterize the performance of stand-alone and augmented GPS, and assess whether the required navigation performance is achievable are detailed.
Journal ArticleDOI
Integration of GPS and dead reckoning for real-time vehicle performance and emissions monitoring
Washington Y. Ochieng,John W. Polak,Robert B. Noland,J.-Y. Park,Lin Zhao,David Briggs,John S. Gulliver,A. Crookell,R. Evans,M. Walker,W. Randolph +10 more
TL;DR: In this paper, the performance of different types of stand-alone GPS receivers and GPS augmented with differential infrastructure and low-cost dead reckoning sensors was evaluated in a real-time vehicle performance and emissions monitoring system.
Journal Article
Monitoring real-time vehicle performance and emissions
Washington Y. Ochieng,John W. Polak,Robert B. Noland,Lin Zhao,David Briggs,John S. Gulliver,Andrew Crookell,Ruthven Evans,Matt Walker,Walter Randolph +9 more
TL;DR: This paper presents a high level description of a real-time global positioning system based vehicle performance and emissions monitoring system currently under development in the UK, to contribute to the realisation of the data requirements highlighted above.