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Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2013
Hidden Markov Models (HMMs) based map matching - that matches a sequence of location samples to a road network - has received a lot of traction in recent years. In this paper we revisit the basic assumption underlying HMM-based map matching algorithms, namely, the hypothesis that the true mobility is Markovian.
Mudhakar Srivatsa +3 more
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Hidden Markov Models (HMMs) based map matching - that matches a sequence of location samples to a road network - has received a lot of traction in recent years. In this paper we revisit the basic assumption underlying HMM-based map matching algorithms, namely, the hypothesis that the true mobility is Markovian.
Mudhakar Srivatsa +3 more
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Visual Interactive Map Matching
IEEE Transactions on Visualization and Computer Graphics, 2018Map matching is the process of assigning observed geographic positions of vehicles and their trajectories to the actual road links in a road network. In this paper, we present Visual Interactive Map Matching, a visual analytics approach to fine-tune the data preprocessing and matching process.
Krüger, Robert +3 more
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Proceedings of the 20th International Conference on Advances in Geographic Information Systems, 2012
This paper introduces gaze map matching as the problem of algorithmically interpreting eye tracking data with respect to geographic vector features, such as a road network shown on a map. This differs from previous eye tracking studies which have not taken into account the underlying vector data of the cartographic map.
Peter Kiefer, Ioannis Giannopoulos
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This paper introduces gaze map matching as the problem of algorithmically interpreting eye tracking data with respect to geographic vector features, such as a road network shown on a map. This differs from previous eye tracking studies which have not taken into account the underlying vector data of the cartographic map.
Peter Kiefer, Ioannis Giannopoulos
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2021
The task of trajectory data map-matching is important and often a prerequisite step towards the provision of smart urban services. Such task is challenging mainly because of the positioning error caused by GPS devices and the uncertainty between two GPS point samples.
Chao Chen +3 more
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The task of trajectory data map-matching is important and often a prerequisite step towards the provision of smart urban services. Such task is challenging mainly because of the positioning error caused by GPS devices and the uncertainty between two GPS point samples.
Chao Chen +3 more
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Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2010
Map matching is a fundamental operation in many applications such as traffic analysis and location-aware services, the killer apps for ubiquitous computing. In past, several map matching approaches have been proposed. Roughly, they can be categorized into four groups: geometric, topological, probabilistic, and other advanced techniques.
Ahmed Jawad, Kristian Kersting
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Map matching is a fundamental operation in many applications such as traffic analysis and location-aware services, the killer apps for ubiquitous computing. In past, several map matching approaches have been proposed. Roughly, they can be categorized into four groups: geometric, topological, probabilistic, and other advanced techniques.
Ahmed Jawad, Kristian Kersting
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Space-map-matching-based candidate selection for GPS map matching
2016 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI), 2016GPS map matching is the process to align observed GPS positions with road networks of a digital map. One of the key technique in a state-of-art GPS map matching algorithm is to select candidates for each observed GPS point. Traditional candidate selection algorithms focus on spatial proximity, which is not sufficient in real cases.
Chunyang Ma +4 more
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Vehicular cooperative map matching
2014 International Conference on Connected Vehicles and Expo (ICCVE), 2014In this paper a novel Vehicular cooperative map matching method is presented. This map matching method uses the V2V communication in a VANET to exchange GPS information between vehicles. Then vehicles can apply the road constraints of other vehicles in their own map matching process and acquire a significant improvement in their positioning.
Mohsen Rohani +2 more
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