Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 228,553,172 papers from all fields of science
Search
Sign In
Create Free Account
Map matching
Map matching is the problem of how to match recorded geographic coordinates to a logical model of the real world, typically using some form of…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
6 relations
Automotive navigation system
GPS tracking unit
Graph (discrete mathematics)
GraphHopper
Expand
Broader (1)
Cartography
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Review
2017
Review
2017
An Analysis of Map Matching Algorithm for Recent Intelligent Transport System
R. Manikandan
,
R. Latha
,
C. Ambethraj
2017
Corpus ID: 67147194
Map matching is a technique combining electronic map with locating information to obtain the real position of vehicles in a road…
Expand
2013
2013
WheelLoc: Enabling continuous location service on mobile phone for outdoor scenarios
He Wang
,
Zhiyang Wang
,
G. Shen
,
Fan Li
,
Song Han
,
Feng Zhao
Proceedings IEEE INFOCOM
2013
Corpus ID: 3105439
The proliferation of location-based services and applications calls for provisioning of location service as a first class system…
Expand
2012
2012
Efficient map merging using a probabilistic generalized Voronoi diagram
Sajad Saeedi
,
L. Paull
,
M. Trentini
,
M. Seto
,
Howard Li
IEEE/RSJ International Conference on Intelligent…
2012
Corpus ID: 14177631
Simultaneous Localization and Mapping, or SLAM, is required for mobile robots to be able to explore prior unknown space without a…
Expand
2010
2010
Application of Particle Filters for Vehicle Positioning using Road Maps
P. Davidson
,
J. Collin
,
J. Raquet
,
J. Takala
2010
Corpus ID: 17172339
This paper presents a numerical approach to the mapmatching problem. The proposed solution is based on a sequential Monte Carlo…
Expand
Highly Cited
2009
Highly Cited
2009
Visual features for vehicle localization and ego-motion estimation
O. Pink
,
Frank Moosmann
,
Alexander Bachmann
IEEE Intelligent Vehicles Symposium
2009
Corpus ID: 14937984
This paper introduces a novel method for vehicle pose estimation and motion tracking using visual features. The method combines…
Expand
2007
2007
A Heuristic Map-Matching Algorithm by Using Vector-Based Recognition
Dongdong Wu
,
T. Zhu
,
Weifeng Lv
,
Xin Gao
International Multi-Conference on Computing in…
2007
Corpus ID: 16975384
The traditional map-matching algorithms mainly use two methods: the incremental method and the global method. Both of them have…
Expand
2007
2007
Automatic Extraction of Main Road Centerlines from High Resolution Satellite Imagery Using Hierarchical Grouping
Xiangyun Hu
,
V. Tao
2007
Corpus ID: 15223011
Automatic road centerline extraction from high-resolution satellite imagery has gained considerable interest recently due to the…
Expand
2004
2004
A hybrid map matching algorithm based on fuzzy comprehensive judgment
M. Fu
,
Jie Li
,
Meiling Wang
Proceedings. The 7th International IEEE…
2004
Corpus ID: 18968435
Based on analyzing the pure geometry and possibility statistics map matching algorithms, a hybrid map matching algorithm based on…
Expand
Highly Cited
1999
Highly Cited
1999
Mobile-Robot Map Building from an Advanced Sonar Array and Accurate Odometry
Kok Seng Chong
,
L. Kleeman
Int. J. Robotics Res.
1999
Corpus ID: 1014367
This paper describes a mobile robot equipped with a sonar sensor array in a guided, feature-based map-building task in an indoor…
Expand
1986
1986
Map matching augmented dead reckoning
W. Zavoli
,
S. K. Honey
IEEE Vehicular Technology Conference
1986
Corpus ID: 26334996
Where am I? Where is my destination? How do I get there? These are questions commonly asked by all drivers. The Etak Navigator is…
Expand
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE