Journal of Location Based Services最新文献_第3页

Augmented reality landmarks on windshield and their effects on the acquisition of spatial knowledge in autonomous vehicles 自动驾驶汽车挡风玻璃上的增强现实地标及其对空间知识获取的影响

IF 2.3

Journal of Location Based Services Pub Date : 2023-07-24 DOI: 10.1080/17489725.2023.2238661

Rui Li

引用次数: 0

Exploring the potential of social media to study environmental topics and natural disasters 探索社交媒体研究环境主题和自然灾害的潜力

IF 2.3

Journal of Location Based Services Pub Date : 2023-07-20 DOI: 10.1080/17489725.2023.2238663

Kenzo Milleville, S. Van Ackere, Jana Verdoodt, S. Verstockt, P. de Maeyer, N. van de Weghe

引用次数: 0

Analysis of route choice based on path characteristics using Geolife GPS trajectories 基于Geolife GPS轨迹的路径选择分析

IF 2.3

Journal of Location Based Services Pub Date : 2023-06-28 DOI: 10.1080/17489725.2023.2229285

Fateme Teimouri, Kai-Florian Richter, H. Hochmair

{"title":"Analysis of route choice based on path characteristics using Geolife GPS trajectories","authors":"Fateme Teimouri, Kai-Florian Richter, H. Hochmair","doi":"10.1080/17489725.2023.2229285","DOIUrl":"https://doi.org/10.1080/17489725.2023.2229285","url":null,"abstract":"ABSTRACT Navigation services are essential for daily navigation, providing turn-by-turn instructions to help wayfinders reach their destinations. These services often differ from the heuristics wayfinders use, resulting in a poor user experience. Researchers have attempted to address this issue by developing algorithms that find less complex routes, by integrating prominent locations along the route to make wayfinding easier and to improve a wayfinder’s knowledge about the environment. These approaches, however, have taken a bottom-up approach, involving a limited number of participants navigating in real or virtual environments which may limit generalisability of results. In this study, we took a top-down approach by analysing a large dataset of GPS-based trips in the real world. Using the Geolife dataset, we analysed individual heuristics for route selection in terms of complexity and prominent locations, and found that wayfinders prefer less complex routes, such as routes that require fewer turns or involve simpler intersections. Additionally, we found that wayfinders choose routes with fewer prominent locations, such as routes that bypass well-known landmarks or busy commercial areas. These findings suggest that simplicity and ease of use are prioritized when selecting a route, while overly complex routes or areas with many points of interest are avoided.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46157268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Road extraction from low-cost GNSS-device dense trajectories 从低成本GNSS设备密集轨迹中提取道路

IF 2.3

Journal of Location Based Services Pub Date : 2023-05-27 DOI: 10.1080/17489725.2023.2216670

Bruno de Moura Morceli, A. Poz

{"title":"Road extraction from low-cost GNSS-device dense trajectories","authors":"Bruno de Moura Morceli, A. Poz","doi":"10.1080/17489725.2023.2216670","DOIUrl":"https://doi.org/10.1080/17489725.2023.2216670","url":null,"abstract":"ABSTRACT This paper proposes a method for road centerline extraction from dense Global Navigation Satellite System (GNSS) trajectories, collected by using low-cost GNSS-devices, i.e. smartphones. The proposed method basically consists in generating a frequency image by tracking the GNSS trajectories and then by applying the Steger line detector to the generated image to extract the road centerlines. The main motivation of using the Steger algorithm is its capability to detect lines with sub-pixel accuracy. To evaluate the obtained results, reference road centerlines are manually extracted from a georeferenced orthomosaic. The experiments performed demonstrate the high potential of applying the Steger line detector to frequency images, generated by using dense GPS (Global Positioning System) trajectories. The completeness and correctness values for the accomplished experiments were 98% and 99%, respectively. Additionally, the RMSE (Root Mean Square Error) ranged from 0.63 m to 2.39 m, or approximately 1/16 to 1/4 of the expected accuracy (about 10 m) of a point determined by the Single-Point Positioning (SPP) method, which is the GNSS positioning method usually employed by smartphones. KEY POLICY HIGHLIGHTS In this paper we propose to extract roads by using dense GNSS trajectories based on frequency images. GNSS trajectories were collected from low-cost devices (smartphones). Unlike optical images, trajectory frequency images show only roads, thereby preventing problems such as extracting non-road objects. The experiments showed the high potential of using the Steger line detector for road extraction. Profiles drawn cross-sectionally to the roads actually exhibit behaviour similar to the normal distribution. The results obtained were between 16 times and four times better than the expected accuracy of the GNSS positioning method via the SPP positioning method.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47047694","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Infrastructure-free indoor navigation based on smartphone sensors in smart buildings 智能建筑中基于智能手机传感器的无基础设施室内导航

IF 2.3

Journal of Location Based Services Pub Date : 2023-01-22 DOI: 10.1080/17489725.2023.2168078

A. Chehreghan, E. Saadatzadeh, R. Abbaspour

{"title":"Infrastructure-free indoor navigation based on smartphone sensors in smart buildings","authors":"A. Chehreghan, E. Saadatzadeh, R. Abbaspour","doi":"10.1080/17489725.2023.2168078","DOIUrl":"https://doi.org/10.1080/17489725.2023.2168078","url":null,"abstract":"ABSTRACT One of the main elements of location-based services (LBS) is the awareness and knowledge of the user’s location information inside the smart buildings. In this study, a smartphone sensor-based indoor positioning system (IPS) is proposed to track a person’s location in Texting and Pocket carrying modes in a smart building. The gravity, gyroscope, and magnetometer sensors data were combined using a gradient descent algorithm (GDA) to estimate the heading angle. This system was implemented in three straight, complex, and rectangular paths. The mean (M) and standard deviation (SD) of the absolute heading error of each step were obtained as (1.68°, 1.97°) in the Texting mode and (4.39°, 5.22°) in the Pocket mode, respectively. Acceleration and angle-based models were employed to estimate the step length in the Texting and Pocket modes, respectively. The mean relative error (MRE) of the distance in the Texting and Pocket modes were obtained as %4.8 and %4.37, respectively. Experimental results indicated the MRE of the final position along the three paths in the two carrying modes of Texting and Pocket by magnetic and proposed methods reduced from %3.75 to %2.66 and %7.02 to %4.24, respectively.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47007571","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Elevation accuracy improvement in mobile devices by implementing artificial neural networks 利用人工神经网络提高移动设备的高程精度

IF 2.3

Journal of Location Based Services Pub Date : 2022-12-22 DOI: 10.1080/17489725.2022.2157898

Elias Issawy, B. Levy, S. Dalyot

{"title":"Elevation accuracy improvement in mobile devices by implementing artificial neural networks","authors":"Elias Issawy, B. Levy, S. Dalyot","doi":"10.1080/17489725.2022.2157898","DOIUrl":"https://doi.org/10.1080/17489725.2022.2157898","url":null,"abstract":"ABSTRACT An important feature of mobile devices relates to positioning, mainly relying on the global navigation satellite system sensor. In optimal conditions, this sensor provides horizontal positioning sufficient for most location-based services. The elevation, on the other hand, still lacks sufficient accuracy and reliability – mostly due to mobile device inadequacies that stem from technological limitations and environmental and physical conditions, which impact the observations quality. We suggest augmenting the elevation measurements of this sensor with measurements from supplementary embedded mobile device sensors, such as barometers and accelerometers, and with data from external mapping and environmental databases, namely topography and weather. We developed an artificial neural network deep-learning model that identifies parameter values for producing the highest predictive accuracy of the elevation value while relying on a comprehensive set of measurements. Our findings indicate very promising results, whereby we enhanced the elevation accuracy of testing data by 428%, while significantly reducing the elevation variance. These results show that using supplementary measurements and data improves elevation values while significantly reducing errors commonly associated with mobile device global navigation satellite system sensors. The proposed method has the capacity to improve outdoor kinematic positioning for location-based services, with a focus on urban and concealed areas.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2022-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44580853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A survey on data dissemination in internet of vehicles networks 车联网数据传播研究

IF 2.3

Journal of Location Based Services Pub Date : 2022-11-30 DOI: 10.1080/17489725.2022.2151658

Nadjet Azzaoui, A. Korichi, B. Brik, Hanane Amirat

引用次数: 3

Towards mobility reports with user-level privacy 面向具有用户级隐私的移动报告

IF 2.3

Journal of Location Based Services Pub Date : 2022-09-19 DOI: 10.1080/17489725.2022.2148008

Alexandra Kapp, Saskia Nuñez von Voigt, Helena Mihaljevic, Florian Tschorsch

{"title":"Towards mobility reports with user-level privacy","authors":"Alexandra Kapp, Saskia Nuñez von Voigt, Helena Mihaljevic, Florian Tschorsch","doi":"10.1080/17489725.2022.2148008","DOIUrl":"https://doi.org/10.1080/17489725.2022.2148008","url":null,"abstract":"ABSTRACT The importance of human mobility analyses is growing in both research and practice, especially as applications for urban planning and mobility rely on them. Aggregate statistics and visualizations play an essential role as building blocks of data explorations and summary reports, the latter being increasingly released to third parties such as municipal administrations or in the context of citizen participation. However, such explorations already pose a threat to privacy as they reveal potentially sensitive location information, and thus should not be shared without further privacy measures. There is a substantial gap between state-of-the-art research on privacy methods and their utilization in practice. We thus conceptualize a mobility report with differential privacy guarantees and implement it as open-source software to enable a privacy-preserving exploration of key aspects of mobility data in an easily accessible way. Moreover, we evaluate the benefits of limiting user contributions using three data sets relevant to research and practice. Our results show that even a strong limit on user contribution alters the original geospatial distribution only within a comparatively small range, while significantly reducing the error introduced by adding noise to achieve privacy guarantees.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2022-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47913474","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A weighted GPS positioning algorithm for urban canyons using dual-polarised antennae 基于双极化天线的城市峡谷加权GPS定位算法

IF 2.3

Journal of Location Based Services Pub Date : 2022-09-19 DOI: 10.1080/17489725.2022.2122612

Xueru Ge, Xin Liu, Rui Sun, Linxia Fu, Ming Qiu, Zixuan Zhang

{"title":"A weighted GPS positioning algorithm for urban canyons using dual-polarised antennae","authors":"Xueru Ge, Xin Liu, Rui Sun, Linxia Fu, Ming Qiu, Zixuan Zhang","doi":"10.1080/17489725.2022.2122612","DOIUrl":"https://doi.org/10.1080/17489725.2022.2122612","url":null,"abstract":"ABSTRACT The positioning performance of the Global Positioning System (GPS) is severely degraded in urban canyons due to buildings blocking or attenuating signals. This paper proposes a weighted GPS positioning method using a dual-polarisation antenna in order to deal with this issue. The GPS signals are first classified and labelled into NLOS signals and LOS/MP signals by considering the right-hand circular polarised (RHCP) and the left-hand circular polarised (LHCP) signal strengths. Then, a Bayesian optimisation-based Gaussian process is used to fit the pseudorange error related to the input of the carrier-to-noise ratio of the RHCP QUOTE ( ) and the elevation angle of the LOS/MP signals. The pseudorange errors of the LOS/MP signals are therefore predicted based on the rules extracted from the fitting results. The positioning solutions are then obtained from the weighted least-squares algorithm, with the weighting strategies being based on the predicted pseudorange errors. Static positioning results in deep urban areas showed that the horizontal root-mean-square error (RMSE) positioning has been improved by 64.6% and 57.3%, respectively, while 3D RMSEwas improved by 74.3% and 48.1%, respectively, compared with traditional single-point positioning results.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2022-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48474917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Informed search algorithm for route optimization for visually impaired people: possibility of intelligent assistive technology 视障人士路线优化的知情搜索算法:智能辅助技术的可能性

IF 2.3

Journal of Location Based Services Pub Date : 2022-07-22 DOI: 10.1080/17489725.2022.2104396

Luiz Fernando Delboni Lomba, J. Silva

引用次数: 1