IEEE/ION Position Location and Navigation Symposium : [proceedings]. IEEE/ION Position Location and Navigation Symposium最新文献

Innovative Multicarrier Broadband Waveforms for Future GNSS Applications - A System Overview 面向未来GNSS应用的创新多载波宽带波形-系统概述

IEEE/ION Position Location and Navigation Symposium : [proceedings]. IEEE/ION Position Location and Navigation Symposium Pub Date : 2023-04-24 DOI: 10.1109/PLANS53410.2023.10140018

T. Nguyen, Charles H. Lee, Yinwei Chen, S. Behseta, Dan Shen, Gen-yong Chen, John Nguyen, Xiwen Kang, K. Pham

引用次数: 2

Inertial Navigation on Extremely Resource-Constrained Platforms: Methods, Opportunities and Challenges. 资源极度受限平台上的惯性导航：方法、机遇和挑战。

IEEE/ION Position Location and Navigation Symposium : [proceedings]. IEEE/ION Position Location and Navigation Symposium Pub Date : 2023-04-01 Epub Date: 2023-06-08 DOI: 10.1109/plans53410.2023.10139997

Swapnil Sayan Saha, Yayun Du, Sandeep Singh Sandha, Luis Antonio Garcia, Mohammad Khalid Jawed, Mani Srivastava

{"title":"Inertial Navigation on Extremely Resource-Constrained Platforms: Methods, Opportunities and Challenges.","authors":"Swapnil Sayan Saha, Yayun Du, Sandeep Singh Sandha, Luis Antonio Garcia, Mohammad Khalid Jawed, Mani Srivastava","doi":"10.1109/plans53410.2023.10139997","DOIUrl":"10.1109/plans53410.2023.10139997","url":null,"abstract":"<p><p>Inertial navigation provides a small footprint, low-power, and low-cost pathway for localization in GPS-denied environments on extremely resource-constrained Internet-of-Things (IoT) platforms. Traditionally, application-specific heuristics and physics-based kinematic models are used to mitigate the curse of drift in inertial odometry. These techniques, albeit lightweight, fail to handle domain shifts and environmental non-linearities. Recently, deep neural-inertial sequence learning has shown superior odometric resolution in capturing non-linear motion dynamics without human knowledge over heuristic-based methods. These AI-based techniques are data-hungry, suffer from excessive resource usage, and cannot guarantee following the underlying system physics. This paper highlights the unique methods, opportunities, and challenges in porting real-time AI-enhanced inertial navigation algorithms onto IoT platforms. First, we discuss how platform-aware neural architecture search coupled with ultra-lightweight model backbones can yield neural-inertial odometry models that are 31-134× smaller yet achieve or exceed the localization resolution of state-of-the-art AI-enhanced techniques. The framework can generate models suitable for locating humans, animals, underwater sensors, aerial vehicles, and precision robots. Next, we showcase how techniques from neurosymbolic AI can yield physics-informed and interpretable neural-inertial navigation models. Afterward, we present opportunities for fine-tuning pre-trained odometry models in a new domain with as little as 1 minute of labeled data, while discussing inexpensive data collection and labeling techniques. Finally, we identify several open research challenges that demand careful consideration moving forward.</p>","PeriodicalId":94036,"journal":{"name":"IEEE/ION Position Location and Navigation Symposium : [proceedings]. IEEE/ION Position Location and Navigation Symposium","volume":"2023 ","pages":"708-723"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10512424/pdf/nihms-1928657.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41180729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Doppler Processing for Satellite Navigation 卫星导航的多普勒处理

IEEE/ION Position Location and Navigation Symposium : [proceedings]. IEEE/ION Position Location and Navigation Symposium Pub Date : 2023-01-01 DOI: 10.1109/PLANS53410.2023.10140011

F. Graas

引用次数: 0

Q-Learning Model Covariance Adaptation of Rao-Blackwellized Particle Filtering in Airborne Geomagnetic Navigation 航空地磁导航中rao - blackwell化粒子滤波的q -学习模型协方差自适应

IEEE/ION Position Location and Navigation Symposium : [proceedings]. IEEE/ION Position Location and Navigation Symposium Pub Date : 2023-01-01 DOI: 10.1109/PLANS53410.2023.10140131

A. Cuenca, H. Moncayo

引用次数: 0

Research on multi-model adaptive hull deformation measurement algorithm 多模型自适应船体变形测量算法研究

IEEE/ION Position Location and Navigation Symposium : [proceedings]. IEEE/ION Position Location and Navigation Symposium Pub Date : 2020-01-01 DOI: 10.1109/PLANS46316.2020.9109889

Yanyan Wang, Ya Zhang, Kai Wang, Zhuo Wang, Jiachong Chang, Dingjie Xu

引用次数: 0

Research on pedestrian location based on dual MIMU/magnetometer/ultrasonic module 基于MIMU/磁强计/超声波双模块的行人定位研究

IEEE/ION Position Location and Navigation Symposium : [proceedings]. IEEE/ION Position Location and Navigation Symposium Pub Date : 2018-01-01 DOI: 10.1109/PLANS.2018.8373428

Qiuying Wang, Zheng Guo, Minghui Zhang, Xufei Cui, Hui Wu, Li Jia

引用次数: 0

The operation and mechanization of the hemispherical resonator gyroscope 半球形谐振陀螺仪的操作和机械化

IEEE/ION Position Location and Navigation Symposium : [proceedings]. IEEE/ION Position Location and Navigation Symposium Pub Date : 2018-01-01 DOI: 10.1109/PLANS.2018.8373357

A. Matthews

引用次数: 0

Integrated navigation method using marine inertial navigation system and star sensor based on model predictive filtering 基于模型预测滤波的船用惯性导航系统和星敏感器组合导航方法

IEEE/ION Position Location and Navigation Symposium : [proceedings]. IEEE/ION Position Location and Navigation Symposium Pub Date : 2018-01-01 DOI: 10.1109/PLANS.2018.8373462

Qiuying Wang, Minghui Zhang, Zheng Guo, Hui Wu

引用次数: 0

A method of inertial integrated navigation based on low cost MEMS sensors 基于低成本MEMS传感器的惯性组合导航方法

IEEE/ION Position Location and Navigation Symposium : [proceedings]. IEEE/ION Position Location and Navigation Symposium Pub Date : 2018-01-01 DOI: 10.1109/PLANS.2018.8373529

Zhengchun Wang, Zhi Xiong, Pin Lyu, Jianxin Xu, Xin Huang, Limin Xu

引用次数: 0

Multiple carrier correlators based carrier phase multipath mitigation technique for real time kinematic 基于多载波相关器的实时载波相位多径缓解技术

IEEE/ION Position Location and Navigation Symposium : [proceedings]. IEEE/ION Position Location and Navigation Symposium Pub Date : 2016-04-11 DOI: 10.1109/PLANS.2016.7479710

R. Hang, Zhang Lei, Liu Shuo, Liu Feng

{"title":"Multiple carrier correlators based carrier phase multipath mitigation technique for real time kinematic","authors":"R. Hang, Zhang Lei, Liu Shuo, Liu Feng","doi":"10.1109/PLANS.2016.7479710","DOIUrl":"https://doi.org/10.1109/PLANS.2016.7479710","url":null,"abstract":"Mitigating carrier phase multipath errors continue to be a significant challenge for Real Time Kinematic (RTK) using Global Navigation Satellite Systems (GNSS). As the multipath error is dependent on the operational environment and therefore cannot be mitigated by differencing techniques, we propose a Multiple Carrier Correlators based carrier phase multipath mitigation technique (MCC) for the high precise positioning in the environment with multipath. In the method, two extra carrier correlators at the phases of pi/4 and −pi/4 are introduced and a maximum likelihood estimator is developed based on these correlator outputs to estimate the carrier phase of the line-of-sight signal. A Monte Carlo simulation is carried out to evaluate the carrier phase measuring accuracy of the proposed method under multipath. The experiments using real GNSS signal data are also conducted in a certain multipath scenario and an urban canyon area with random multipath. The results show the proposed method can greatly improve the performance of Real Time Kinematic positioning in the situation with multipath and outperforms the traditional multicorrelator based carrier phase multipath mitigation method.","PeriodicalId":94036,"journal":{"name":"IEEE/ION Position Location and Navigation Symposium : [proceedings]. IEEE/ION Position Location and Navigation Symposium","volume":"33 1","pages":"263-271"},"PeriodicalIF":0.0,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85436938","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