In this paper, we propose a simple and effective method to extend digital maps with the location and timing of stop-signs and traffic lights in a city, given GPS traces collected by on-road vehicles. Our system finds the location and timing of traffic lights and stop-signs using a small number of traces per road segment. We developed and evaluated the system by applying it to two sets of GPS traces -open street map, a multicity, publicly available database of GPS traces, and a set of traces collected in west Los Angeles. Evaluation results show that our system can estimate the location of stop-signs with as little as 5 traversal per road segment and the location/timing of traffic lights with as little as 7 traversals, with more than 90% accuracy. © 2010 IEEE.

Enhancing in vehicle digital maps via GPS crowdsourcing

Pau, Giovanni;
2011

Abstract

In this paper, we propose a simple and effective method to extend digital maps with the location and timing of stop-signs and traffic lights in a city, given GPS traces collected by on-road vehicles. Our system finds the location and timing of traffic lights and stop-signs using a small number of traces per road segment. We developed and evaluated the system by applying it to two sets of GPS traces -open street map, a multicity, publicly available database of GPS traces, and a set of traces collected in west Los Angeles. Evaluation results show that our system can estimate the location of stop-signs with as little as 5 traversal per road segment and the location/timing of traffic lights with as little as 7 traversals, with more than 90% accuracy. © 2010 IEEE.
2011
2011 8th International Conference on Wireless On-Demand Network Systems and Services, WONS 2011
27
34
Carisi, Roberto; Giordano, Eugenio; Pau, Giovanni; Gerla, Mario
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/621045
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