2023 International Conference on Localization and GNSS (ICL-GNSS)最新文献_第2页

Increasing the Robustness of Drone Operations with Galileo Open Service Navigation Message Authentication (OSNMA) 利用伽利略开放服务导航报文认证(OSNMA)增强无人机操作的鲁棒性

2023 International Conference on Localization and GNSS (ICL-GNSS) Pub Date : 2023-06-06 DOI: 10.1109/ICL-GNSS57829.2023.10148917

S. Damy, L. Cucchi, A. Mennella, G. Luisi, M. Paonni, I. Fernández‐Hernández

引用次数: 0

Towards Benchmarking GNSS Algorithms on FPGA using SyDR 基于SyDR的FPGA GNSS算法基准测试

2023 International Conference on Localization and GNSS (ICL-GNSS) Pub Date : 2023-06-06 DOI: 10.1109/ICL-GNSS57829.2023.10148916

Antoine Grenier, Hans Jakob Damsgaard, Jie Lei, E. S. Quintana‐Ortí, A. Ometov, E. Lohan, J. Nurmi

{"title":"Towards Benchmarking GNSS Algorithms on FPGA using SyDR","authors":"Antoine Grenier, Hans Jakob Damsgaard, Jie Lei, E. S. Quintana‐Ortí, A. Ometov, E. Lohan, J. Nurmi","doi":"10.1109/ICL-GNSS57829.2023.10148916","DOIUrl":"https://doi.org/10.1109/ICL-GNSS57829.2023.10148916","url":null,"abstract":"Global Navigation Satellite System (GNSS) is widely used today for both positioning and timing purposes. Many distinct receiver chips are available off-the-shelf, each tailored to match various applications’ requirements. Being implemented as Application-Specific Integrated Circuits, these chips provide good performance and low energy consumption but must be treated as \"black boxes\" by customers. This prevents modification, research in GNSS processing chain enhancement (e.g., application of Approximate Computing techniques), and design-space exploration for finding the optimal receiver implementation per each use case. In this paper, we review the development of SyDR, an open-source Software-Defined Radio oriented towards benchmarking of GNSS algorithms. Specifically, our goal is to integrate certain components of the GNSS processing chain in a Field-Programmable Gate Array and manage their operation with a Python program using the Xilinx PYNQ flow. We present the early steps of converting parts of SyDR to C, which will be later converted to Hardware Description Language descriptions using High-Level Synthesis. We demonstrate successful conversion of the tracking process and discuss benefits and drawbacks arising thereof, before outlining next steps in preparation for hardware implementation.","PeriodicalId":414612,"journal":{"name":"2023 International Conference on Localization and GNSS (ICL-GNSS)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114296310","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

Acceptable Margin of Error: Quantifying Location Privacy in BLE Localization 可接受误差范围:量化BLE定位中的位置隐私

2023 International Conference on Localization and GNSS (ICL-GNSS) Pub Date : 2023-06-06 DOI: 10.1109/ICL-GNSS57829.2023.10148925

Viktoriia Shubina, A. Ometov, D. Niculescu, E. Lohan

{"title":"Acceptable Margin of Error: Quantifying Location Privacy in BLE Localization","authors":"Viktoriia Shubina, A. Ometov, D. Niculescu, E. Lohan","doi":"10.1109/ICL-GNSS57829.2023.10148925","DOIUrl":"https://doi.org/10.1109/ICL-GNSS57829.2023.10148925","url":null,"abstract":"Location privacy poses a critical challenge as the use of mobile devices and location-based services becomes more and more widespread. Proximity-detection data can reveal sensitive information about individuals, making it essential to preserve their location data. One way to achieve privacy protection is by adding noise to ground-truth data, which can introduce uncertainty while still allowing moderate utility for proximity-detection services and Received Signal Strength (RSS)-based localization. However, it is important to carefully adjust the amount of noise added in order to balance the privacy and accuracy concerns. This paper expands our previous work on evaluating location privacy bounds based on measurement error and intentionally added noise. Our model builds upon existing work in differential privacy and introduces other techniques to estimate privacy bounds specific to proximity data. By using real-world measurement data, we measure the privacy-accuracy trade-off and suggest cases where additional noise could be added. Our framework can be utilized to inform privacy-preserving location-based applications and guide the selection of appropriate noise levels in order to achieve the desired privacy-accuracy balance.","PeriodicalId":414612,"journal":{"name":"2023 International Conference on Localization and GNSS (ICL-GNSS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124491542","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

Fast and Precise Neural Network-Based Environment Detection utilizing UWB CSI for Seamless Localization Applications 基于超宽带CSI的快速精确神经网络环境检测用于无缝定位应用

2023 International Conference on Localization and GNSS (ICL-GNSS) Pub Date : 2023-06-06 DOI: 10.1109/ICL-GNSS57829.2023.10148923

G. Kia, D. Plets, Ben Van Herbruggen, Jaron Fontaine, L. Verloock, E. D. Poorter, J. Talvitie

{"title":"Fast and Precise Neural Network-Based Environment Detection utilizing UWB CSI for Seamless Localization Applications","authors":"G. Kia, D. Plets, Ben Van Herbruggen, Jaron Fontaine, L. Verloock, E. D. Poorter, J. Talvitie","doi":"10.1109/ICL-GNSS57829.2023.10148923","DOIUrl":"https://doi.org/10.1109/ICL-GNSS57829.2023.10148923","url":null,"abstract":"Seamless localization, navigation, and tracking applications can be realized utilizing different sensors and cameras, radio frequency signals such as WiFi, ultra-wideband, and global navigation satellite system, each of which is better suited for different types of environments. As such, awareness of the environment is crucial for the system to efficiently utilize the most relevant resources in each scenario and enable seamless transition between different environments. For example, when vehicles are moving from an open area such as open highway to crowded urban streets, or the opposite, they experience a considerable environment transition, which triggers opportunities for wide-range environment-specific device and algorithm optimization. In this paper, a novel infrastructure-free method utilizing channel state information of ultra-wideband signals and a convolutional neural network is proposed. This method enables a fast detection of the environment type, including crowded urban and open outdoor, reaching a detection latency of only three milliseconds. The experimental data is collected in the real environments of the city of Ghent, Belgium. The test data set, used for numerical performance evaluations, is collected from areas different from those used in the training set. The results show that the proposed method provides an average environment detection accuracy of 90% in the considered test setup.","PeriodicalId":414612,"journal":{"name":"2023 International Conference on Localization and GNSS (ICL-GNSS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130792993","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

UAV Tracking with Lidar as a Camera Sensor in GNSS-Denied Environments gnss拒绝环境下激光雷达作为摄像传感器的无人机跟踪

2023 International Conference on Localization and GNSS (ICL-GNSS) Pub Date : 2023-03-01 DOI: 10.1109/ICL-GNSS57829.2023.10148919

Ha Sier, Xianjia Yu, Iacopo Catalano, J. P. Queralta, Zhuo Zou, Tomi Westerlund

{"title":"UAV Tracking with Lidar as a Camera Sensor in GNSS-Denied Environments","authors":"Ha Sier, Xianjia Yu, Iacopo Catalano, J. P. Queralta, Zhuo Zou, Tomi Westerlund","doi":"10.1109/ICL-GNSS57829.2023.10148919","DOIUrl":"https://doi.org/10.1109/ICL-GNSS57829.2023.10148919","url":null,"abstract":"Light detection and ranging (LiDAR) sensor has become one of the primary sensors in robotics and autonomous system for high-accuracy situational awareness. In recent years, multi-modal LiDAR systems emerged, and among them, LiDAR-as-a-camera sensors provide not only 3D point clouds but also fixed-resolution 360°panoramic images by encoding either depth, reflectivity, or near-infrared light in the image pixels. This potentially brings computer vision capabilities on top of the potential of LiDAR itself. In this paper, we are specifically interested in utilizing LiDARs and LiDAR-generated images for tracking Unmanned Aerial Vehicles (UAVs) in real-time which can benefit applications including docking, remote identification, or counter-UAV systems, among others. This is, to the best of our knowledge, the first work that explores the possibility of fusing the images and point cloud generated by a single LiDAR sensor to track a UAV without a priori known initialized position. We trained a custom YOLOv5 model for detecting UAVs based on the panoramic images collected in an indoor experiment arena with a motion capture (MOCAP) system. By integrating with the point cloud, we are able to continuously provide the position of the UAV. Our experiment demonstrated the effectiveness of the proposed UAV tracking approach compared with methods based only on point clouds or images. Additionally, we evaluated the real-time performance of our approach on the Nvidia Jetson Nano, a popular mobile computing platform.","PeriodicalId":414612,"journal":{"name":"2023 International Conference on Localization and GNSS (ICL-GNSS)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114874190","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: 6