{"title":"Predictive Guidance for Automated Velocity Obstacle Collision Avoidance","authors":"Josh L. Wilkerson","doi":"10.33012/2019.16816","DOIUrl":"https://doi.org/10.33012/2019.16816","url":null,"abstract":"","PeriodicalId":201935,"journal":{"name":"Proceedings of the ION 2019 Pacific PNT Meeting","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133681355","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}
{"title":"The Necessary Consideration for More Effective Location Information on E911","authors":"Masaaki Hayashi","doi":"10.33012/2019.16820","DOIUrl":"https://doi.org/10.33012/2019.16820","url":null,"abstract":"","PeriodicalId":201935,"journal":{"name":"Proceedings of the ION 2019 Pacific PNT Meeting","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132092964","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}
Bugyeom Kim, Seonho Kang, Deokhwa Han, C. Kee, Junesol Song
{"title":"Comparing Detection Techniques of Coseismic Disturbances by using Differential Ionospheric Delay of GNSS Signal","authors":"Bugyeom Kim, Seonho Kang, Deokhwa Han, C. Kee, Junesol Song","doi":"10.33012/2019.16855","DOIUrl":"https://doi.org/10.33012/2019.16855","url":null,"abstract":"","PeriodicalId":201935,"journal":{"name":"Proceedings of the ION 2019 Pacific PNT Meeting","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115709017","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}
{"title":"Indoor Altitude Determination Using MEMS-based Sensors in Smartphones","authors":"G. Retscher","doi":"10.33012/2019.16827","DOIUrl":"https://doi.org/10.33012/2019.16827","url":null,"abstract":"","PeriodicalId":201935,"journal":{"name":"Proceedings of the ION 2019 Pacific PNT Meeting","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121554430","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}
This paper investigates the potential use of the Earth’s magnetic field as a source of position information to correct an inertial navigation system (INS) estimated position of a maritime vessel. A simplified two-dimensional INS is considered using measurement information from either scalar or vector measurements of the Earth’s magnetic field. The measurement update is developed from existing global magnetic field models in the regions of interest. Cramer-Rao lower bound (CRLB) analysis is performed for this simplified system for two common marine vessel operating modes, transit between ports and localized operations.
{"title":"Simulated Maritime Magnetic Navigation in the Asia-Pacific Region","authors":"P. Frontera, S. Alessandrini","doi":"10.33012/2019.16847","DOIUrl":"https://doi.org/10.33012/2019.16847","url":null,"abstract":"This paper investigates the potential use of the Earth’s magnetic field as a source of position information to correct an inertial navigation system (INS) estimated position of a maritime vessel. A simplified two-dimensional INS is considered using measurement information from either scalar or vector measurements of the Earth’s magnetic field. The measurement update is developed from existing global magnetic field models in the regions of interest. Cramer-Rao lower bound (CRLB) analysis is performed for this simplified system for two common marine vessel operating modes, transit between ports and localized operations.","PeriodicalId":201935,"journal":{"name":"Proceedings of the ION 2019 Pacific PNT Meeting","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123941710","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}
In this paper, we propose a method to build up a low cost driving simulator for the development of Advanced Driving Assistance System (ADAS) and Autonomous Driving (AD) algorithms. The proposed method is based on a low cost physical game engine developed by Rockstar Games, Inc. that is commercially available in the market, thereby cost-effectively available to individuals. In order to implement the ADAS and AD simulator, we present first how to obtain internal data from the game engine and further how to generate useful data for the use of development of ADAS and AD algorithms, e.g. training dataset for deep learning algorithms. In addition, we present a method to generate the simulated sensor data by modeling the actual sensors based on acquired Ground Truth (GT) data. An example of the simulation environment setting through the GUI is presented, and the entire structure of the simulator configuration is also presented.
{"title":"A Script Hook-based Ultra-Low Cost Driving Simulator for Development of Self-Driving Algorithms","authors":"Ji-Ung Im, Sang-Hun Ahn, Jongbin Won","doi":"10.33012/2019.16821","DOIUrl":"https://doi.org/10.33012/2019.16821","url":null,"abstract":"In this paper, we propose a method to build up a low cost driving simulator for the development of Advanced Driving Assistance System (ADAS) and Autonomous Driving (AD) algorithms. The proposed method is based on a low cost physical game engine developed by Rockstar Games, Inc. that is commercially available in the market, thereby cost-effectively available to individuals. In order to implement the ADAS and AD simulator, we present first how to obtain internal data from the game engine and further how to generate useful data for the use of development of ADAS and AD algorithms, e.g. training dataset for deep learning algorithms. In addition, we present a method to generate the simulated sensor data by modeling the actual sensors based on acquired Ground Truth (GT) data. An example of the simulation environment setting through the GUI is presented, and the entire structure of the simulator configuration is also presented.","PeriodicalId":201935,"journal":{"name":"Proceedings of the ION 2019 Pacific PNT Meeting","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121218515","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}
{"title":"Indoor Vehicle Localization Based on Wi-Fi Navigation Beacons for Multi-Modal Transportation Applications","authors":"A. Neri, Pietro Salvaroti, M. Massaro, F. Rispoli","doi":"10.33012/2019.16819","DOIUrl":"https://doi.org/10.33012/2019.16819","url":null,"abstract":"","PeriodicalId":201935,"journal":{"name":"Proceedings of the ION 2019 Pacific PNT Meeting","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117219865","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}
{"title":"Chip-grade Multi-Band Multi-GNSS RTK and Attitude Determination with Low Cost Dual Antennas for Mass Market Applications","authors":"Ryan Yang, Shifei Yang, G. Hau","doi":"10.33012/2019.16824","DOIUrl":"https://doi.org/10.33012/2019.16824","url":null,"abstract":"","PeriodicalId":201935,"journal":{"name":"Proceedings of the ION 2019 Pacific PNT Meeting","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121287488","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}
X. Meng, A. Komjathy, O. Verkhoglyadova, G. Savastano, M. Crespi, M. Ravanelli
{"title":"Modeling the Near-field Ionospheric Disturbances During Earthquakes","authors":"X. Meng, A. Komjathy, O. Verkhoglyadova, G. Savastano, M. Crespi, M. Ravanelli","doi":"10.33012/2019.16844","DOIUrl":"https://doi.org/10.33012/2019.16844","url":null,"abstract":"","PeriodicalId":201935,"journal":{"name":"Proceedings of the ION 2019 Pacific PNT Meeting","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125890008","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}
Accurate positioning is highly desirable in urban canyons where satellite signals are easily reflected or blocked by buildings, leading to severe multipath effects or non-light-of-sight (NLOS) receptions. Anti-multipath techniques, e.g., careful antenna or correlator designs, however, have little improvement for NLOS reception. Existing NLOS detection techniques, e.g., the usage of dual- polarization antenna, or fish-eye camera, require external aiding, which is not suitable for low-cost global positioning system (GPS) receivers, e.g., smartphones or wearable devices. In this paper, we use features, such as multi-correlator or code discriminator outputs, extracted at the signal tracking level, to detect NLOS reception in a vector tracking-based software receiver. Multiple correlators with small spacings also help to find the NLOS path delay, which will be further compensated for updating the extended Kalman filter for positioning. Experimental results using real GPS signals in an urban area in Hong Kong show that the proposed method is capable of detecting the NLOS reception and preventing the positioning error from increasing during the NLOS reception period. By comparison, conventional tracking loops would lock onto the incoming NLOS signal and cannot detect its existence, thus reporting an increased positioning error.
{"title":"NLOS Detection and Compensation using a Vector Tracking-based GPS Software Receiver","authors":"Bing Xu, L. Hsu","doi":"10.33012/2019.16777","DOIUrl":"https://doi.org/10.33012/2019.16777","url":null,"abstract":"Accurate positioning is highly desirable in urban canyons where satellite signals are easily reflected or blocked by buildings, leading to severe multipath effects or non-light-of-sight (NLOS) receptions. Anti-multipath techniques, e.g., careful antenna or correlator designs, however, have little improvement for NLOS reception. Existing NLOS detection techniques, e.g., the usage of dual- polarization antenna, or fish-eye camera, require external aiding, which is not suitable for low-cost global positioning system (GPS) receivers, e.g., smartphones or wearable devices. In this paper, we use features, such as multi-correlator or code discriminator outputs, extracted at the signal tracking level, to detect NLOS reception in a vector tracking-based software receiver. Multiple correlators with small spacings also help to find the NLOS path delay, which will be further compensated for updating the extended Kalman filter for positioning. Experimental results using real GPS signals in an urban area in Hong Kong show that the proposed method is capable of detecting the NLOS reception and preventing the positioning error from increasing during the NLOS reception period. By comparison, conventional tracking loops would lock onto the incoming NLOS signal and cannot detect its existence, thus reporting an increased positioning error.","PeriodicalId":201935,"journal":{"name":"Proceedings of the ION 2019 Pacific PNT Meeting","volume":"91 13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126037259","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}
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