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Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2002
A simple MAP model-matching criterion that captures important aspects of recognition in controlled situations is described. A detailed metrical object model is assumed. A probabilistic model of image features is combined with a simple prior on both the pose and the feature interpretations to yield a mixed objective function.
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A simple MAP model-matching criterion that captures important aspects of recognition in controlled situations is described. A detailed metrical object model is assumed. A probabilistic model of image features is combined with a simple prior on both the pose and the feature interpretations to yield a mixed objective function.
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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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Map-matched trajectory compression
Journal of Systems and Software, 2013The wide usage of location aware devices, such as GPS-enabled cellphones or PDAs, generates vast volumes of spatiotemporal streams of location data raising management challenges, such as efficient storage and querying. Therefore, compression techniques are inevitable also in the field of moving object databases.
Kellaris, Georgios +2 more
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Matching by Monotonic Tone Mapping
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018In this paper, a novel dissimilarity measure called Matching by Monotonic Tone Mapping (MMTM) is proposed. The MMTM technique allows matching under non-linear monotonic tone mappings and can be computed efficiently when the tone mappings are approximated by piecewise constant or piecewise linear functions.
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2007 IEEE Intelligent Vehicles Symposium, 2007
We address the problem of determining the path of a vehicle on a given vector map of roads, based on tracking data such as that obtained from onboard GPS receivers. We describe a method that is based on a piecewise matching of track segments to map features.
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We address the problem of determining the path of a vehicle on a given vector map of roads, based on tracking data such as that obtained from onboard GPS receivers. We describe a method that is based on a piecewise matching of track segments to map features.
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Evaluation of map-matching techniques
Conference Record of papers presented at the First Vehicle Navigation and Information Systems Conference (VNIS '89), 2003The authors describe a research and demonstration effort aimed at improving vehicular location accuracy. This effort used a wheel sensor, a gas-rate gyro, a map-matching technique, and beacon information to reduce accumulated errors. The demonstration model showed good location accuracy results in field tests over three courses (one was in an urban ...
F. Morisue, K. Ikeda
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A Novel Map Matching Algorithm
Applied Mechanics and Materials, 2014Presently, most of the researches on Map Matching focus on high sampling rate and accurate GPS points. This paper discusses a challenging problem with low GPS sampling rate and some continuous points with large deviation. To solve the problem efficiently, a novel matching method named F&PT is proposed.
Guo Yong Cai +3 more
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Regional Insights, 2011
Martin Pelucha argues that a more congruent approach is needed to understand processes of crossborder co-operation, and short-term ‘opportunistic’ funding should be directed towards eliminating structural co-operation barriers, allowing ‘true’ bottom-up collaboration to emerge in the longer run.
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Martin Pelucha argues that a more congruent approach is needed to understand processes of crossborder co-operation, and short-term ‘opportunistic’ funding should be directed towards eliminating structural co-operation barriers, allowing ‘true’ bottom-up collaboration to emerge in the longer run.
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Correlation algorithms for radar map matching
1976 IEEE Conference on Decision and Control including the 15th Symposium on Adaptive Processes, 1976This paper presents results of a theoretical study of a simple radar edge detection correlation approach. Several candidate edge correlation algorithms are described. The paper presents results of a theoretical evaluation of one particular candidate correlation algorithm and verification of the edge correlation concept is provided through a ...
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Global Matching of Random Restriction Maps
Methodology And Computing In Applied Probability, 2000zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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