… , regular map-matching … map matching is often through manual annotation, which is
human labour intensive. Therefore, we propose iMatching, an interactive system for map-matching …

… Frechet distance-based map matching algorithms. This review concludes that for online map
matching, Hidden Markov model-based map matching algorithm provides good accuracy in …

… for solving the map matching problem exploiting massive GPS trace data. Map matching is
the … As a result, the accuracy of map matching is limited due to ambiguities in the possible …

… of map matching. Extensive research has been conducted on map matching using complex
… In summary, existing map-matching algorithms are still prone to matching errors in complex …

… Therefore, a map matching algorithm based on hidden Markov models is proposed in this …
The experiment proves that the map matching algorithms based on hidden Markov models is …

… That is, if the candidate point c i j is far away from the sampling point p i measured by GPS,
the probability of the measured sampling point p i matching the candidate point c i j is low. …

… To address these issues, we propose a novel offline map matching method for sparse … and
a sliding window, which reduces global map matching errors. Experimental results using real-…

… The matching accuracy of the improved HMM model was compared with the ST Matching
map matching algorithm and the CRF-based map matching algorithm. The average of 10 …

… The process of associating these position estimates to roads on a map is known as Map-Matching
(MM). Given that GNSS measurements are often subject to errors of as much as …

… I kapital 3 redogörs för geometriska, topologiska och probabilistiska metoder för map-matching.
I kapital 4 diskuteras kvalitetsmått för map-matchingalgoritmer. Implementerade …