A map matching algorithm based on modified hidden Markov model considering time series dependency over larger time span [PDF]
Heliyon, 2023 With the advancement of geopositioning systems and mobile devices, much research with geopositioning data are currently ongoing. Along with the research applications, map matching is a technology that infers the actual position of error-prone trajectory ...
Ha Yoon Song, Jae Ho Lee
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Effect Evaluation of Spatial Characteristics on Map Matching-Based Indoor Positioning [PDF]
Sensors, 2020 Map-matching is a popular method that uses spatial information to improve the accuracy of positioning methods. The performance of map matching methods is closely related to spatial characteristics.
Shuaiwei Luo +3 more
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Radar/INS Integration and Map Matching for Land Vehicle Navigation in Urban Environments [PDF]
Sensors, 2023 Autonomous navigation requires multi-sensor fusion to achieve a high level of accuracy in different environments. Global navigation satellite system (GNSS) receivers are the main components in most navigation systems. However, GNSS signals are subject to
Mohamed Elkholy +2 more
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Map-matching algorithm based on the junction decision domain and the hidden Markov model. [PDF]
PLoS ONE, 2019 Map-matching technology is a key and difficult technology in the development of vehicle navigation systems. Only by correctly identifying the road segment on which the vehicle is traveling can the navigation system make the right decision.
Hui Qi, Xiaoqiang Di, Jinqing Li
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Proceedings of the 20th International Conference on Advances in Geographic Information Systems, 2012 We study algorithms for matching user tracks, consisting of time-ordered location points, to paths in the road network. Previous work has focused on the scenario where the location data is linearly ordered and consists of fairly dense and regular samples.
Haridasan, Maya +2 more
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A Trajectory Collaboration Based Map Matching Approach for Low-Sampling-Rate GPS Trajectories [PDF]
Sensors, 2020 GPS (Global Positioning System) trajectories with low sampling rates are prevalent in many applications. However, current map matching methods do not perform well for low-sampling-rate GPS trajectories due to the large uncertainty between consecutive GPS
Wentao Bian, Ge Cui, Xin Wang
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An Improved Map-Matching Technique Based on the Fréchet Distance Approach for Pedestrian Navigation Services [PDF]
Sensors, 2016 Wearable and smartphone technology innovations have propelled the growth of Pedestrian Navigation Services (PNS). PNS need a map-matching process to project a user’s locations onto maps.
Yoonsik Bang, Jiyoung Kim, Kiyun Yu
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Conditional Random Field-Based Offline Map Matching for Indoor Environments [PDF]
Sensors, 2016 In this paper, we present an offline map matching technique designed for indoor localization systems based on conditional random fields (CRF). The proposed algorithm can refine the results of existing indoor localization systems and match them with the ...
Safaa Bataineh +4 more
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Improving Positioning Accuracy via Map Matching Algorithm for Visual–Inertial Odometer [PDF]
Sensors, 2020 A visual−inertial odometer is used to fuse the image information obtained by a vision sensor with the data measured by an inertial sensor and recover the motion track online in a global frame.
Juan Meng +4 more
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GPS/MEMS INS Data Fusion and Map Matching in Urban Areas [PDF]
Sensors, 2013 This paper presents an evaluation of the map-matching scheme of an integrated GPS/INS system in urban areas. Data fusion using a Kalman filter and map matching are effective approaches to improve the performance of navigation system applications based on
Thanh-Trung Duong +3 more
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