The Experts below are selected from a list of 297 Experts worldwide ranked by ideXlab platform
Peter Handel - One of the best experts on this subject based on the ideXlab platform.
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foot mounted Inertial Navigation made easy
International Conference on Indoor Positioning and Indoor Navigation, 2014Co-Authors: Johnolof Nilsson, Amit K Gupta, Peter HandelAbstract:Despite being around for almost two decades, foot-mounted Inertial Navigation only has gotten a limited spread. Contributing factors to this are lack of suitable hardware platforms and difficult system integration. As a solution to this, we present an open-source wireless foot-mounted Inertial Navigation module with an intuitive and significantly simplified dead reckoning interface. The interface is motivated from statistical properties of the underlying aided Inertial Navigation and argued to give negligible information loss. The module consists of both a hardware platform and embedded software. Details of the platform and the software are described, and a summarizing description of how to reproduce the module are given. System integration of the module is outlined and finally, we provide a basic performance assessment of the module. In summary, the module provides a modularization of the foot-mounted Inertial Navigation and makes the technology significantly easier to use.
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IPIN - Foot-mounted Inertial Navigation made easy
2014 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2014Co-Authors: Johnolof Nilsson, Amit K Gupta, Peter HandelAbstract:Despite being around for almost two decades, foot-mounted Inertial Navigation only has gotten a limited spread. Contributing factors to this are lack of suitable hardware platforms and difficult system integration. As a solution to this, we present an open-source wireless foot-mounted Inertial Navigation module with an intuitive and significantly simplified dead reckoning interface. The interface is motivated from statistical properties of the underlying aided Inertial Navigation and argued to give negligible information loss. The module consists of both a hardware platform and embedded software. Details of the platform and the software are described, and a summarizing description of how to reproduce the module are given. System integration of the module is outlined and finally, we provide a basic performance assessment of the module. In summary, the module provides a modularization of the foot-mounted Inertial Navigation and makes the technology significantly easier to use.
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Standing still with Inertial Navigation
2013Co-Authors: Johnolof Nilsson, Peter HandelAbstract:The possibility to detect complete standstill sets footmounted Inertial Navigation aside from other heuristic pedestrian dead reckoning systems. However, traditional zero-velocityupdates (ZUPTs) do ...
Johnolof Nilsson - One of the best experts on this subject based on the ideXlab platform.
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foot mounted Inertial Navigation made easy
International Conference on Indoor Positioning and Indoor Navigation, 2014Co-Authors: Johnolof Nilsson, Amit K Gupta, Peter HandelAbstract:Despite being around for almost two decades, foot-mounted Inertial Navigation only has gotten a limited spread. Contributing factors to this are lack of suitable hardware platforms and difficult system integration. As a solution to this, we present an open-source wireless foot-mounted Inertial Navigation module with an intuitive and significantly simplified dead reckoning interface. The interface is motivated from statistical properties of the underlying aided Inertial Navigation and argued to give negligible information loss. The module consists of both a hardware platform and embedded software. Details of the platform and the software are described, and a summarizing description of how to reproduce the module are given. System integration of the module is outlined and finally, we provide a basic performance assessment of the module. In summary, the module provides a modularization of the foot-mounted Inertial Navigation and makes the technology significantly easier to use.
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IPIN - Foot-mounted Inertial Navigation made easy
2014 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2014Co-Authors: Johnolof Nilsson, Amit K Gupta, Peter HandelAbstract:Despite being around for almost two decades, foot-mounted Inertial Navigation only has gotten a limited spread. Contributing factors to this are lack of suitable hardware platforms and difficult system integration. As a solution to this, we present an open-source wireless foot-mounted Inertial Navigation module with an intuitive and significantly simplified dead reckoning interface. The interface is motivated from statistical properties of the underlying aided Inertial Navigation and argued to give negligible information loss. The module consists of both a hardware platform and embedded software. Details of the platform and the software are described, and a summarizing description of how to reproduce the module are given. System integration of the module is outlined and finally, we provide a basic performance assessment of the module. In summary, the module provides a modularization of the foot-mounted Inertial Navigation and makes the technology significantly easier to use.
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Standing still with Inertial Navigation
2013Co-Authors: Johnolof Nilsson, Peter HandelAbstract:The possibility to detect complete standstill sets footmounted Inertial Navigation aside from other heuristic pedestrian dead reckoning systems. However, traditional zero-velocityupdates (ZUPTs) do ...
Martin Griss - One of the best experts on this subject based on the ideXlab platform.
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MASS - ProbIN: Probabilistic Inertial Navigation
The 7th IEEE International Conference on Mobile Ad-hoc and Sensor Systems (IEEE MASS 2010), 2010Co-Authors: Thanh-Le Nguyen, Ying Zhang, Martin GrissAbstract:Numerous applications require accurate personal Navigation for environments where neither GPS signals nor infrastructure beacons, such as WiFi, are available. Inertial Navigation using low-cost sensors suffers from the noisy readings which leads to drifting errors over time. In this paper, we introduce a novel Inertial Navigation approach ProbIN using Bayesian probabilistic framework. ProbIN models the Inertial Navigation problem as a noise channel problem where we want to recover the actual motion/displacement of the user from the noisy sensor readings. Building on the top of dead reckoning, ProbIN learns a statistical model to map the noisy sensor readings to user's displacements instead of using the double integral of the acceleration. ProbIN also builds a statistical model to estimate the a priori probability of a user's trajectory pattern. Combining the mapping model and the trajectory model in a Bayesian framework, ProbIN searches for a trajectory that has the highest probability given the sensor input. Our experiments show that ProbIN significantly reduces the error of Inertial Navigation using low-cost MEMS sensors in mobile phones.
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ProbIN: Probabilistic Inertial Navigation
The 7th IEEE International Conference on Mobile Ad-hoc and Sensor Systems (IEEE MASS 2010), 2010Co-Authors: Thanh-Le Nguyen, Ying Zhang, Martin GrissAbstract:Numerous applications require accurate personal Navigation for environments where neither GPS signals nor infrastructure beacons, such as WiFi, are available. Inertial Navigation using low-cost sensors suffers from the noisy readings which leads to drifting errors over time. In this paper, we introduce a novel Inertial Navigation approach ProbIN using Bayesian probabilistic framework. ProbIN models the Inertial Navigation problem as a noise channel problem where we want to recover the actual motion/displacement of the user from the noisy sensor readings. Building on the top of dead reckoning, ProbIN learns a statistical model to map the noisy sensor readings to user's displacements instead of using the double integral of the acceleration. ProbIN also builds a statistical model to estimate the a priori probability of a user's trajectory pattern. Combining the mapping model and the trajectory model in a Bayesian framework, ProbIN searches for a trajectory that has the highest probability given the sensor input. Our experiments show that ProbIN significantly reduces the error of Inertial Navigation using low-cost MEMS sensors in mobile phones.
Huang Yi - One of the best experts on this subject based on the ideXlab platform.
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Inertial Navigation heavy load agv system
2019Co-Authors: Shi Fei, Deng Yang, Li Xing, Huang YiAbstract:The utility model discloses an Inertial Navigation heavy-load AGV system. The Inertial Navigation heavy-load AGV system comprises a driving device group, a control module, an Inertial Navigation module and an AGV body, the Inertial Navigation module is used for global Navigation, and the control module is used for calibrating the direction and position of the AGV body and adjusting the AGV body towalk in the direction of a target track by controlling the driving device set. According to the Inertial Navigation heavy-load AGV system, a double-differential motion control model is simplified, the problem that a complex vehicle body model needs to be considered when an Inertial Navigation mode is combined with double-differential driving is solved, and meanwhile the Inertial Navigation heavy-load AGV system can be suitable for an embedded platform.
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Inertial Navigation heavy load agv system and control method thereof
2019Co-Authors: Shi Fei, Deng Yang, Li Xing, Huang YiAbstract:The invention discloses an Inertial Navigation heavy load AGV system and a control method thereof. The Inertial Navigation heavy load AGV system comprises a driving device set, a control module, an Inertial Navigation module and an AGV. The Inertial Navigation module is used for global Navigation, and the control module is used for calibrating the direction and position of the AGV and controllingthe driving device to adjust the AGV to walk in the direction of target trails. The Inertial Navigation heavy load AGV system and the control method thereof simplify a double differential motion control model, and the control method that a drive wheel traces the target trails, and a driven wheel traces the drive wheel is adopted, it is avoided that when an Inertial Navigation mode and double differential motion driving are combined, a complex vehicle model needs to be considered, and the Inertial Navigation heavy load AGV system can be suitable for an embedded platform.
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Systematic Calibration Method for the Laser Gyro Strapdown Inertial Navigation System
2007 Chinese Control Conference, 2007Co-Authors: Yang Xiaoxia, Huang YiAbstract:In this paper, based on the Inertial Navigation equation, a novel systematic calibration model for the laser gyro strapdown Inertial Navigation system is proposed. The observability of the error parameters is analyzed. Then a calibration algorithm, which can identify twenty four error parameters of the Inertial Navigation unit is studied.
I. V. Nikitin - One of the best experts on this subject based on the ideXlab platform.
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Combined use of strapdown Inertial Navigation systems and odometers from the standpoint of mechanics of Inertial Navigation systems. Part 2
Moscow University Mechanics Bulletin, 2015Co-Authors: A. A. Golovan, I. V. NikitinAbstract:A number of correction models are discussed for the problem of combined use of strapdown Inertial Navigation systems and odometers. This discussion is based on the fundamental concepts used in the mechanics of aided Inertial Navigation systems.
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Combined use of strapdown Inertial Navigation systems and odometers from the standpoint of mechanics of Inertial Navigation systems. Part 1
Moscow University Mechanics Bulletin, 2015Co-Authors: A. A. Golovan, I. V. NikitinAbstract:The Navigation problem for a land vehicle whose instrumental equipment consists of a strapdown Inertial Navigation system and an odometer is considered. A number of functional schemes of solving this problem are discussed. These schemes are analyzed from the standpoint of mechanics of Inertial Navigation systems. The second part of this paper is devoted to a mathematical description of the corresponding algorithms.
