A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Filters
The Effects of Navigation Sensors and Spatial Road Network Data Quality on the Performance of Map Matching Algorithms
2008
Geoinformatica
Preserved Fulltext
The objective of this paper is to develop a framework to quantify the effects of spatial road network data and navigation sensor data on the performance of map matching algorithms. ...
The results show that there are considerable effects of spatial road network data on the performance of map matching algorithms. ...
Acknowledgements The authors would like to thank Robin North and Shaojun Feng (both of the Centre for Transport Studies at Imperial College London) for their assistance during the data collection process ...
doi:10.1007/s10707-007-0044-x
fatcat:hsrt7bpqsrbtpbj2afesquaaca
EDITORIAL: Special Issue: Intelligent Vehicle Navigation (Part1)
2008
Journal of Intelligent Transportation Systems / Taylor & Francis
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Critical to the performance of iVN are the various relevant data (navigation sensor data, digital spatial road network data and attributes, and traffic information), and intelligent navigation algorithms ...
Charpillet, also develops a new map-matching algorithm that integrates data from the Anti-lock Braking System (ABS), differential GPS (dGPS) and spatial road network. ...
doi:10.1080/15472450802448112
fatcat:mkr6wjpnlrgexlwtn4rnzz2ypy
Current map-matching algorithms for transport applications: State-of-the art and future research directions
2007
Transportation Research Part C: Emerging Technologies
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
The performance of map matching algorithms will be improved if the spatial road network data quality allows. ...
quality and quantity of the spatial road network data. ...
Authors and year of publication ...
doi:10.1016/j.trc.2007.05.002
fatcat:tmy5lmm4oncrbhislotgvqwqqa
MAP-MATCHING IN COMPLEX URBAN ROAD NETWORKS
2009
Revista Brasileira de Cartografia
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
This paper develops an improved probabilistic Map Matching (MM) algorithm to reconcile inaccurate locational data with inaccurate digital road network data. ...
Even with very good sensor calibration and sensor fusion technologies, inaccuracies in the positioning sensors are often inevitable. There are also errors associated with spatial road network data. ...
Most of the formulated algorithms utilize navigation data from GPS, DR, or integrated GPS/DR and the digital road network data. ...
doaj:de9a76cef2f949d8b8ae8026f434e171
fatcat:47j7m5ljljchpmzemr6zuo2jia
Map Matching Algorithm: Empirical Review Based on Indian Open Street Map Road Network Data
2022
˜The œinternational Arab journal of information technology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
A standard dataset was used to simulate the working of map matching algorithms. After ascertaining the accuracy of map matching algorithms, it was tested on a real road network. ...
Performance of map matching algorithms was evaluated on a total of 2094 road nodes with 1271070 Global Positioning System (GPS) points on the basis of matched, unmatched nodes with root mean square error ...
Variance in spatial attributes of rural and urban road networks too may hamper the performance of map matching algorithms. ...
doi:10.34028/iajit/19/2/1
fatcat:ftapsae5lvc7jhxwfp4qdaafri
Validation of Map Matching Algorithms using High Precision Positioning with GPS
2005
Journal of navigation
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
ABSTRACT Map Matching (MM) algorithms are usually employed for a range of transport telematics applications to correctly identify the physical location of a vehicle traveling on a road network. ...
The results also demonstrated the importance of the quality of the digital map data to the map matching process. KEY WORDS 1. GPS 2. Map matching. 3. High precision positioning 4. ...
ACKNOWLEDGEMENTS The authors would like to thank Robin North and Shaojun Feng (both of the Centre for Transport Studies at Imperial College London) for their contribution to this study. ...
doi:10.1017/s0373463305003231
fatcat:ybkfg5cynbg3jcrn5rrg4qg6ie
A Decision-Rule Topological Map-Matching Algorithm with Multiple Spatial Data
[chapter]
2012
Global Navigation Satellite Systems: Signal, Theory and Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2013; you can also visit the original URL.
The file type is application/pdf.
The analysis of this variable examines the effect that it has on the performance of the map-matching algorithm. ...
Analysis of the impact of variables on the performance of the map-matching algorithm This section examines each algorithmic variable independently to determine its effect on the performance of the map-matching ...
doi:10.5772/30058
fatcat:5ru5qxpclze55nftqetxlj4szy
Integrity of map-matching algorithms
2006
Transportation Research Part C: Emerging Technologies
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
The results suggest that the performance of the integrity method depends on the type of map matching algorithm and the quality of the digital map data. ...
Map-Matching algorithms are used to integrate positioning data with digital road network data so that vehicles can be placed on a road map. ...
quality of the digital road network data. ...
doi:10.1016/j.trc.2006.08.004
fatcat:yowvuxez4bf2pem2jifo5dpjlm
Independent Map Enhancement for a Spatial Road Network: Fundamental Applications and Opportunities
2020
ISPRS International Journal of Geo-Information
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Note that this work focuses on the conceptual ideas and approaches intended to improve independent maps, and the detailed algorithms have been left for future work. ...
Moreover, the peer-to-peer updating mechanism can enable the independent monitoring of road conditions and the updating of maps for newly-constructed roads, as well as the analysis of road congestions, ...
In [30] , a map matching algorithm and the concept of matching certainty were used to better evaluate the road influence. ...
doi:10.3390/ijgi10010008
fatcat:vxckv24mizbwzglsgaltctnoya
An Imaging Sensor-Aided Vision Navigation Approach that Uses a Geo-Referenced Image Database
2016
Sensors
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
In determining position and attitude, vision navigation via real-time image processing of data collected from imaging sensors is advanced without a high-performance global positioning system (GPS) and ...
Third, a robust image matching algorithm is presented to search for and match RTIs with GRID; the matched image is then matched with the real-time scene to calculate the 3D navigation parameter of the ...
Author Contributions: Yan Li wrote the main program and most of the paper; Qingwu Hu conceived the study and designed the experiments; Meng Wu studied the image matching and 3D Navigation calculation approach ...
doi:10.3390/s16020166
pmid:26828496
pmcid:PMC4801544
fatcat:e7wkx7yeofewvc4wct3usem7du
A High Accuracy Fuzzy Logic Based Map Matching Algorithm for Road Transport
2006
Journal of Intelligent Transportation Systems / Taylor & Francis
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
The performance of the developed map matching algorithm is evaluated against the performance of several well-accepted existing map matching algorithms. ...
The algorithm is tested on different road networks of varying complexity. ...
the error sources associated with the spatial road network and the navigation sensor, (c) failing to validate the MM algorithms to assess their performance, and (d) ignoring most of the available inputs ...
doi:10.1080/15472450600793560
fatcat:fobkx5b5mvdhbpw32bpc7did5y
Mobile Mapping: An Emerging Technology for Spatial Data Acquisition
[chapter]
2011
The Map Reader
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Spatial information of the objects is extracted directly from the georeferenced mapping sensor data by integrating navigation sensor data. ...
This paper provides a systematic introduction to the use of mobile mapping technology for spatial data acquisition. ...
This accuracy is strongly influenced by the control data collected by the navigation sensors and the quality of the mapping sensors. ...
doi:10.1002/9780470979587.ch24
fatcat:m3mwlxtrhjfvdp6byixc7hk7ee
A general map matching algorithm for transport telematics applications
2003
GPS Solutions
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
The algorithm is used together with the outputs of an extended Kalman filter formulation for the integration of GPS and dead reckoning data, and a spatial digital database of the road network, to provide ...
The map-matching algorithm has been tested using real field data and has been found to be superior to existing algorithms, particularly in how it performs at road intersections. ...
the numerous errors associated with the positioning sensors and the spatial road network mapping data. ...
doi:10.1007/s10291-003-0069-z
fatcat:xirfipjeezctdkwquz5cfnkgoi
Real-Time HD Map Change Detection for Crowdsourcing Update Based on Mid-to-High-End Sensors
2021
Sensors
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Third, a visual Simultaneous Localization and Mapping (SLAM) associated with pixel type information is performed to obtain the semantic point cloud data of features such as lane dividers, road markings ...
Finally, the semantic point cloud data is vectorized after denoising and clustering, and the results are matched with a pre-constructed HD map to confirm map elements that have not changed and generate ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/s21072477
pmid:33918443
pmcid:PMC8038307
fatcat:usscrzgjnzgcppwto7zstlltwu
Error Sources in the Analysis of Crowdsourced Spatial Tracking Data
2019
2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Governments are increasingly interested in the use of crowdsourced spatial tracking data to gain information on the travel behaviour of their citizens. ...
The propagation channels are presented schematically and a new approach to quantify the spatial data quality at the end of each processing stage is proposed. ...
Finally, the authors focused on the effect that the road network can have on the performance of map matching algorithms [16] . ...
doi:10.1109/percomw.2019.8730710
dblp:conf/percom/GheluweLG19
fatcat:h3jhnof3lfb4dhvjmam7sc5fti
« Previous
Showing results 1 — 15 out of 5,571 results