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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A Review of GPS Trajectories Classification Based on Transportation Mode [PDF]
Sensors, 2018 GPS trajectories generated by moving objects provide researchers with an excellent resource for revealing patterns of human activities. Relevant research based on GPS trajectories includes the fields of location-based services, transportation science ...
Xue Yang +4 more
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Trend-Residual Dual Modeling for Detection of Outliers in Low-Cost GPS Trajectories [PDF]
Sensors, 2016 Low-cost GPS (receiver) has become a ubiquitous and integral part of our daily life. Despite noticeable advantages such as being cheap, small, light, and easy to use, its limited positioning accuracy devalues and hampers its wide applications for ...
Xiaojian Chen +4 more
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Interactive, Multiscale Urban-Traffic Pattern Exploration Leveraging Massive GPS Trajectories [PDF]
Sensors, 2020 Urban traffic pattern reflects how people move and how goods are transported, which is crucial for traffic management and urban planning. With the development of sensing techniques, accumulated sensor data are captured for monitoring vehicles, which also
Qi Wang, Min Lu, Qingquan Li
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Is Medoid Suitable for Averaging GPS Trajectories? [PDF]
ISPRS International Journal of Geo-Information, 2022 Averaging GPS trajectories is needed in applications such as clustering and automatic extraction of road segments. Calculating mean for trajectories and other time series data is non-trivial and shown to be an NP-hard problem.
Biliaminu Jimoh +2 more
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Smartphone-based digital phenotyping for characterizing post-operative recovery in patients undergoing surgery for cervical myelopathy [PDF]
Frontiers in NeurologyObjectiveThis study aimed at investigating the feasibility of using personal smartphones to characterize mobility in patients after surgery for cervical myelopathy.
Denise Feurer +6 more
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Histogram-based Feature Extraction for GPS Trajectory Clustering [PDF]
EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, 2020 Clustering trajectories from GPS data is a crucial task for developing applications in intelligent transportation systems.Most existing approaches perform clustering on raw data consisting of series of GPS positions of moving objects overtime.
Chi Nguyen +4 more
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ROAD NETWORK EXTRACTION USING GPS TRAJECTORIES BASED ON MORPHOLOGICAL AND SKELETONIZATION ALGORITHMS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 In this article, a method for road network extraction is proposed, based on GPS (Global Positioning System) trajectories. Unlike existing methods, it is not necessary to resample the GPS trajectories into a raster structure; instead, all analyses are ...
A. P. Dal Poz +2 more
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Context-aware similarity of GPS trajectories [PDF]
Journal of Location Based Services, 2020 Measuring similarity of GPS trajectories has attracted a lot of attention in recent years. As a result, multiple trajectory similarity measures have been developed and are used in a wide set of app...
Radu Mariescu-Istodor, Pasi Fränti
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Compression of GPS Trajectories Using Autoencoders
Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023 The ubiquitous availability of mobile devices capable of location tracking led to a significant rise in the collection of GPS data. Several compression methods have been developed in order to reduce the amount of storage needed while keeping the important information. In this paper, we present an lstm-autoencoder based approach in order to compress and
Michael Kölle 0001 +5 more
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