2014 Ubiquitous Positioning Indoor Navigation and Location Based Service (UPINLBS)最新文献

Weak GPS signal acquisition using antenna diversity 利用天线分集采集微弱GPS信号

2014 Ubiquitous Positioning Indoor Navigation and Location Based Service (UPINLBS) Pub Date : 2014-12-03 DOI: 10.1109/UPINLBS.2014.7033705

Mohammad Mozaffari, A. Broumandan, Kyle O’Keefe, G. Lachapelle

{"title":"Weak GPS signal acquisition using antenna diversity","authors":"Mohammad Mozaffari, A. Broumandan, Kyle O’Keefe, G. Lachapelle","doi":"10.1109/UPINLBS.2014.7033705","DOIUrl":"https://doi.org/10.1109/UPINLBS.2014.7033705","url":null,"abstract":"Signal acquisition is the first operation stage of a GPS receiver that detects the presence of GPS signals and provides a coarse estimate of the code delay and Doppler frequency. GPS signal acquisition becomes a challenging problem when the signal is subject to attenuation and multipath fading. In practice, standard methods such as extending the integration time without any aiding information to increase processing gain are not always sufficient to acquire weak signals. This difficulty can be characterized by the probability of detection, false alarm and mean acquisition time. This paper exploits spatial antenna diversity to mitigate the multipath fading effect in the acquisition process. Equal gain combining of two independent antennas is considered in a standalone processing strategy. The performance is evaluated in terms of Receiver Operating Characteristic (ROC). The theoretical analysis is compared with Monte Carlo simulations and real GPS data results. Experimental results demonstrate the improvement of detection probability and enhanced immunity against false alarms in dense multipath environments.","PeriodicalId":133607,"journal":{"name":"2014 Ubiquitous Positioning Indoor Navigation and Location Based Service (UPINLBS)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129595947","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: 4

Efficient WiFi fingerprint training using semi-supervised learning 高效WiFi指纹训练使用半监督学习

2014 Ubiquitous Positioning Indoor Navigation and Location Based Service (UPINLBS) Pub Date : 2014-11-01 DOI: 10.1109/UPINLBS.2014.7033722

Ye Yuan, L. Pei, Changqing Xu, Qianchen Liu, Tingyu Gu

引用次数: 13

Gyroscope assisted scalable visual simultaneous localization and mapping 陀螺仪辅助可伸缩的视觉同步定位和绘图

2014 Ubiquitous Positioning Indoor Navigation and Location Based Service (UPINLBS) Pub Date : 2014-11-01 DOI: 10.1109/UPINLBS.2014.7033731

B. W. Babu, D. Cyganski, R. J. Duckworth

{"title":"Gyroscope assisted scalable visual simultaneous localization and mapping","authors":"B. W. Babu, D. Cyganski, R. J. Duckworth","doi":"10.1109/UPINLBS.2014.7033731","DOIUrl":"https://doi.org/10.1109/UPINLBS.2014.7033731","url":null,"abstract":"This paper describes the development and evaluation of an indoor localization algorithm using Visual Simultaneous Localization and Mapping (VSLAM) aided by gyroscope sensor information. Indoor environments pose several challenges which could cause a vision only system to fail due to tracking errors. Investigation revealed significant feature loss in a vision only system when traversing plain walls, windows and staircases. However, the addition of a gyroscope helps in handling such difficult conditions by providing additional rotational information. A portable system consisting of an Inertial Measurement Unit (IMU) and a stereo camera has been developed for indoor mapping. The images and gyroscope rates acquired by the system are stored and post-processed using a new Gyroscope Assisted Scalable Visual Simultaneous Localization and Mapping Algorithm (GA-ScaViSLAM). The algorithm has been evaluated for data-sets collected in the Atwater Kent building, Worcester Polytechnic Institute. This algorithm was found to be more robust in comparison to the vision only system. The Ga-ScaViSLAM was found to have an error (rms) of 0.6 m in the indoor environment over a total path length of 77m.","PeriodicalId":133607,"journal":{"name":"2014 Ubiquitous Positioning Indoor Navigation and Location Based Service (UPINLBS)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128471563","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: 4

TDOA navigation using CDMA2000 signals — Experimental results 利用CDMA2000信号进行TDOA导航-实验结果

2014 Ubiquitous Positioning Indoor Navigation and Location Based Service (UPINLBS) Pub Date : 2014-11-01 DOI: 10.1109/UPINLBS.2014.7033736

J. Sadowski

引用次数: 6

Comparison of multiple fault detection methods for monocular visual navigation with 3D maps 三维地图单目视觉导航中多种故障检测方法的比较

2014 Ubiquitous Positioning Indoor Navigation and Location Based Service (UPINLBS) Pub Date : 2014-11-01 DOI: 10.1109/UPINLBS.2014.7033732

Zeyu Li, Jinling Wang

{"title":"Comparison of multiple fault detection methods for monocular visual navigation with 3D maps","authors":"Zeyu Li, Jinling Wang","doi":"10.1109/UPINLBS.2014.7033732","DOIUrl":"https://doi.org/10.1109/UPINLBS.2014.7033732","url":null,"abstract":"Within the newly defined 3D maps, many extracted visual keypoints have been assigned with real-world coordinates. Such geospatial information can make monocular visual navigation feasible as a camera on the user platform that can capture the common keypoints within the 3D maps, and then, the coordinates and attitude of the user's platform can be determined. However, multiple faults within visual measurements produced through the keypoint matching process often exist with a high possibility due to various reasons, such as illumination changes, image noise, mismatches and calibration biases. Besides, the corresponding world frame coordinates of these keypoints may also contain faults. Moreover, these faults usually do not appear individually, which means that multiple faults are frequently encountered in vision-based navigation. All these factors will lead to failures in navigation. Therefore, multiple fault detection methods are necessary for indoor monocular vision based navigation. In this paper, six multiple fault detection methods, which include forward search (FS), least median squares (LMS), least trimmed squares (LTS), M estimator, S estimator and MM estimator, are tested and analyzed. The experimental results reveal their feasibility and potentials for use in indoor monocular vision based navigation. At the same time, with detection capability and false alarm rate acting as two performance indicators, the Monte Carlo simulation in the three indoor scenarios demonstrates that MM estimator and LTS estimator have the best performance with high detection capability and low false alarm rate.","PeriodicalId":133607,"journal":{"name":"2014 Ubiquitous Positioning Indoor Navigation and Location Based Service (UPINLBS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125508134","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

Semantic labeling of places based on phone usage features using supervised learning 基于使用监督学习的手机使用特征对地点进行语义标注

2014 Ubiquitous Positioning Indoor Navigation and Location Based Service (UPINLBS) Pub Date : 2014-11-01 DOI: 10.1109/UPINLBS.2014.7033715

Alejandro Rivero Rodríguez, H. Leppäkoski, R. Piché

{"title":"Semantic labeling of places based on phone usage features using supervised learning","authors":"Alejandro Rivero Rodríguez, H. Leppäkoski, R. Piché","doi":"10.1109/UPINLBS.2014.7033715","DOIUrl":"https://doi.org/10.1109/UPINLBS.2014.7033715","url":null,"abstract":"Nowadays mobile applications demand higher context awareness. The applications aim to understand the user's context (e.g., home or at work) and provide services tailored to the users. The algorithms responsible for inferring the user's context are the so-called context inference algorithms, the place detection being a particular case. Our hypothesis is that people use mobile phones differently when they are located in different places (e.g. longer calls at home than at work). Therefore, the usage of the mobile phones could be an indicator of the users' current context. The objective of the work is to develop a system that can estimate the user's place label (home, work, etc.), based on phone usage. As training and validation set, we use a database containing phone usage information of 200 users over several months including phone call and SMS logs, multimedia usage, accelerometer, GPS, network information and system information. The data was split into visits, i.e., periods of uninterrupted time that the user has been in a certain place (Home, Work, Leisure, etc.). The data include information about the phone usage during the visits, and the semantic label of the place visited (Home, Work, etc.). We consider two approaches to represent this data: the first approach (so-called visits approach) saves each visit separately; the second approach (so-called places approach) combines all visits of one user to a certain place and creates place-specific information. For place detection, we used five popular classification methods, Naïve Bayes, Decision Tree, Bagged Tree, Neural Network and K-Nearest Neighbors, in both representation approaches. We evaluated their classification rates and found that: 1) Bagged Tree outperforms the other methods; 2) the places data-representation gives better results than the visits data-representation.","PeriodicalId":133607,"journal":{"name":"2014 Ubiquitous Positioning Indoor Navigation and Location Based Service (UPINLBS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125621660","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: 7

Accelerated collective detection technique for weak GNSS signal environment 微弱GNSS信号环境下的加速集体检测技术

2014 Ubiquitous Positioning Indoor Navigation and Location Based Service (UPINLBS) Pub Date : 2014-11-01 DOI: 10.1109/UPINLBS.2014.7033713

Lakshay Narula, Keshava P. Singh, M. Petovello

{"title":"Accelerated collective detection technique for weak GNSS signal environment","authors":"Lakshay Narula, Keshava P. Singh, M. Petovello","doi":"10.1109/UPINLBS.2014.7033713","DOIUrl":"https://doi.org/10.1109/UPINLBS.2014.7033713","url":null,"abstract":"Collective Detection is an Assisted-GNSS (A-GNSS) technique for direct positioning, where the information from all satellites in view is combined to enable rapid acquisition and a direct navigation solution. This technique is shown to perform effectively in weak signal environments like indoor navigation, reducing the required signal strength by 10 to 20 dB-Hz. When the signal from satellites cannot be acquired individually, Collective Detection constructively adds information from each satellite together, thus improving sensitivity and directly leading to a position solution. In a sense, the vector-based approach used generally in tracking, is extended to the acquisition stage. However, the existing Collective Detection techniques are computationally intensive and thus have limited practical applications. Also, the transmit-time assistance provided to the receiver is assumed to be of sub-millisecond accuracy, which is not a feasible assumption. This paper looks at these limitations of Collective Detection and aims to mitigate them under the assumption that at least one satellite can be acquired individually. It has been shown that the proposed Accelerated Collective Detection is faster and more efficient than the traditional scheme, and performs equally well in terms of accuracy.","PeriodicalId":133607,"journal":{"name":"2014 Ubiquitous Positioning Indoor Navigation and Location Based Service (UPINLBS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122511712","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: 11

A new non-linear filtering algorithm for road-constrained vehicle tracking 一种新的道路约束车辆跟踪非线性滤波算法

2014 Ubiquitous Positioning Indoor Navigation and Location Based Service (UPINLBS) Pub Date : 2014-11-01 DOI: 10.1109/UPINLBS.2014.7033710

Andrej Peisker, M. Morelande, A. Kealy

{"title":"A new non-linear filtering algorithm for road-constrained vehicle tracking","authors":"Andrej Peisker, M. Morelande, A. Kealy","doi":"10.1109/UPINLBS.2014.7033710","DOIUrl":"https://doi.org/10.1109/UPINLBS.2014.7033710","url":null,"abstract":"Road constrained vehicle applications such as Intelligent Transport Systems (ITS) and Location Based Services (LBS) have become much more widespread over the last decade, creating the need for effective solutions to the problem of reliable and accurate road-constrained vehicle positioning. While the problem of tracking has been to a satisfactory degree solved for some applications in good GNSS visibility situations, this is not the case where satellite signal quality is degraded or non-existent particularly where the application is reliant on ubiquitous high quality positioning. Attention has increased over the last decade on formulating signal outage handling algorithms however we argue that the problem is far from comprehensively solved. Such outages can still cause significant disruption to positioning accuracy even when occurring over short period. We argue that in principle the problem of bridging partial outages (between 1 and 3 satellites visible, inclusive) can be adequately solved when accurate digital road map data is combined (\"fused\") effectively with partial satellite information in a statistically robust way. Our contribution is a statistically rigorous positioning algorithm which implicitly fuses road map data with satellite range measurements to sequentially estimate the position of a moving on-road vehicle. An innovative approximation scheme to handle network non-linearities efficiently is incorporated using Gaussian sums and locally linear models. We present results showing the effectiveness of this algorithm when compared to benchmark methods such as the Extended Kaiman Filter (EKF) and map-matching. Tests involved error comparison of tracking accuracy between algorithms over periods of (artificially induced) partial signal outages.","PeriodicalId":133607,"journal":{"name":"2014 Ubiquitous Positioning Indoor Navigation and Location Based Service (UPINLBS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127783798","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

Performance evaluation of carrier-to-noise density ratio estimation techniques for BeiDou Bl signal 北斗Bl信号载波噪声密度比估计技术性能评价

2014 Ubiquitous Positioning Indoor Navigation and Location Based Service (UPINLBS) Pub Date : 2014-11-01 DOI: 10.1109/UPINLBS.2014.7033706

M. Z. H. Bhuiyan, Stefan Söderholm, S. Thombre, L. Ruotsalainen, M. Kirkko-Jaakkola, H. Kuusniemi

{"title":"Performance evaluation of carrier-to-noise density ratio estimation techniques for BeiDou Bl signal","authors":"M. Z. H. Bhuiyan, Stefan Söderholm, S. Thombre, L. Ruotsalainen, M. Kirkko-Jaakkola, H. Kuusniemi","doi":"10.1109/UPINLBS.2014.7033706","DOIUrl":"https://doi.org/10.1109/UPINLBS.2014.7033706","url":null,"abstract":"The Carrier-to-Noise density ratio (C/N0) in a Global Navigation Satellite System (GNSS) receiver is an important parameter to measure the quality of a GNSS signal. The most traditional C/N0 estimation technique is implemented based on the Narrowband and the Wideband Power Ratio (NWPR), which works just perfectly for the legacy GPS LI C/A receiver. With the advent of new modernized GNSS signals from different systems, some basic signal characteristics of these signals have also changed in such a way that they might no longer enjoy the similar C/N0 estimation performance that NWPR-based C/N0 estimation does for GPS LI C/A signal. For example, in case of BeiDou B1I signal, the presence of an extra tier of modulation (i.e., Neumann-Hoffman code) for Dl signal, and the higher data bit rate in D2 signal may deteriorate the performance of NWPR-based C/No estimation technique. In view of this particular issue, two noise-estimation based C/N0 estimation techniques, namely Signal-to-Noise Power Ratio (SNPR) and Signal-to-Noise Variance Ratio (SNVR), are implemented along with the traditional NWPR-based C/N0 technique for four different GNSS signals in L1/E1/B1 bands. The objective of this paper is to evaluate the performance of these three C/N0 estimation techniques via Matlab-based signal simulations and also via hardware signal simulator and a software-defined multi-GNSS receiver. The simulation results show that the SNPR and SNVR-based C/N0 estimation techniques offer much better estimation performance than the traditional NWPR-based technique in weak signal condition and also with the signals which have relatively higher data bit rate (i.e., BeiDou Bl D2 signal and Galileo El signal).","PeriodicalId":133607,"journal":{"name":"2014 Ubiquitous Positioning Indoor Navigation and Location Based Service (UPINLBS)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126170671","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: 9

Object level mapping of an indoor environment using RFID 使用RFID的室内环境的对象级映射

2014 Ubiquitous Positioning Indoor Navigation and Location Based Service (UPINLBS) Pub Date : 2014-11-01 DOI: 10.1109/UPINLBS.2014.7033729

Hemanth Malla, Preethish Purushothaman, Shivnesh V. Rajan, Vidhya Balasubramanian

{"title":"Object level mapping of an indoor environment using RFID","authors":"Hemanth Malla, Preethish Purushothaman, Shivnesh V. Rajan, Vidhya Balasubramanian","doi":"10.1109/UPINLBS.2014.7033729","DOIUrl":"https://doi.org/10.1109/UPINLBS.2014.7033729","url":null,"abstract":"Many of the indoor applications like navigation, indoor localization, object tracking require an indoor map. Indoor environments are dynamic in nature because of the objects present in it. To capture the essence of the indoor environment, it is essential to perform an object level mapping of an indoor space. This is because an object has the potential to alter the map of an indoor environment. Mapping a huge indoor environment could prove to be costly in terms of time with high infrastructure dependency. This compels us to find a simple solution in terms of cost, time and reliability to build an indoor map. The proposed solution should have minimal infrastructure dependence, so that it can be used in situations like disaster and rapid response scenarios, where the available infrastructure is minimal and time is of essence. We propose a Radio Frequency Identification(RFID) based approach which performs an object level mapping of the indoor environment using a portable RFID reader, RFID Ultra High Frequency(UHF) passive tags and inertial navigation sensors(INS). This approach identifies each object in the indoor environment using one or more passive tags. A novel algorithm has been developed which accurately maps the objects present in the indoor space. It is easily scalable to map huge indoor environments and can be applied without any intensive manual labor or expensive equipments. Our experiments show that this approach generates object level indoor maps with high accuracy.","PeriodicalId":133607,"journal":{"name":"2014 Ubiquitous Positioning Indoor Navigation and Location Based Service (UPINLBS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126752860","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: 11