@inproceedings{cdc2fc9b23f249d48165421903023fc3,
title = "Pitch based vehicle localization using time series subsequence matching with multi-scale extrema features",
abstract = "Non-GPS localization of vehicles on roadways has received considerable attention in recent years and a number of solutions have been proposed, with most solutions addressing local tracking. This paper presents an algorithm that achieves global localization within very large road networks using pitch information. A key contribution is the development of the Multi-scale Extrema Feature that provides a number of advantages over traditional time-series subsequence matching methods in order to implement the above scheme. The algorithm's results in localizing a vehicle's position without initialization within a road network spanning 6000 Km are also presented.",
author = "Vemulapalli, {Pramod K.} and Dean, {Adam J.} and Brennan, {Sean N.}",
year = "2011",
doi = "10.1109/acc.2011.5990976",
language = "English (US)",
isbn = "9781457700804",
series = "Proceedings of the American Control Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2405--2410",
booktitle = "Proceedings of the 2011 American Control Conference, ACC 2011",
address = "United States",
}