… MAP Model Matching In this section an objective function for model matching will be derived
using a MAP … features, con- ditioned on the parameters of match and pose (“the parameters”)…

… The map-matching is an essential … map-matching problem and survey the existing algorithms.
We propose a new categorisation of the solutions according to their map-matching models …

… The probability-based map-matching algorithm uses different mathematical models to
find a trajectory with the maximum probability approximating to the real path. The advanced …

… Due to the observation error, a map matching (MM) process is commonly performed to infer
… presents fast map matching (FMM), an algorithm integrating hidden Markov model with …

… map-matched locations. A quality indicator representing the level of confidence (integrity) in
map-matched … derive the integrity of a map-matched location for three previously developed …

… Markov Models (HMMs) based map matching − that matches … underlying HMM-based map
matching algorithms, namely, … an alternate approach to the map matching problem that relies …

… The main contribution of the research is the proposal of a novelty map-matching model
that implements metaheuristic algorithm (ie, multi-objective genetic algorithm). Also, unlike …

… (EGNOS) on the performance of map matching algorithms. Although not addressed in detail…
the integrity of map-matching algorithms. The map-matching algorithms considered in this …

… Next, we do a rigid registration of that point cloud scan to our map to find τ(tk). Before matching
the scan to the model map, we need to remove all dynamic objects from the scan. This is …

… a framework combining different matching techniques. We present an adoption of schema
matching techniques to meta-model matching by transforming a meta-model’s graph structure …