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Performance analysis of a novel pedestrian dead-reckoning method
2011 IEEE 22nd International Symposium on Personal, Indoor and Mobile Radio Communications, 2011This paper analyzes a new dead-reckoning method for pedestrian navigation. In traditional approaches, accelerometers are used to detect steps and to estimate the step length. However, these algorithms must be calibrated for each user and fail in practice when the user moves with an irregular posture like crawling or carrying a victim.
Bogdan Pricope, Harald Haas
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Effective integration algorithm for pedestrian dead reckoning
2018 Moscow Workshop on Electronic and Networking Technologies (MWENT), 2018Robust and reliable pedestrian navigation in GNSS (Global Navigation Satellite System) denied or hindered environments is still an actual problem. There is the range of different known solutions, one of which is to utilize MEMS (Microelectromechanical Systems) sensors and GNSS receiver measurements in integration algorithm.
Ilya A. Nagin, Yury M. Inchagov
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Pedestrian dead reckoning on smartphones with varying walking speed
2016 IEEE International Conference on Communications (ICC), 2016Pedestrian dead reckoning uses inertial sensors carried by pedestrians to track their positions, wherein step detection and step length estimation play the key roles. Compared with pioneer researches using body-mounted sensors, smartphone-based dead reckoning has more flexibility but raises more challenges.
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Pedestrian Dead Reckoning With Smartphone Mode Recognition
IEEE Sensors Journal, 2018Smartphone mode recognition is becoming a key aspect of many applications, such as daily life monitoring, health care, and indoor positioning. In the later, two approaches exist to perform positioning using smartphone inertial sensors: traditional inertial navigation algorithms and pedestrian dead reckoning (PDR).
Itzik Klein, Yuval Solaz, Guy Ohayon
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Waist mounted Pedestrian Dead-Reckoning system
2012 9th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), 2012This paper proposes a waist mounted PDR(Pedestrian Dead-Reckoning) algorithm using a low cost MEMS IMU(Inertial Measurement Unit). The PDR algorithm is consist of three algorithms which are step detection, step length estimation and heading estimation. The step detection is to detect a gait of pedestrian in walking.
null Jaehyun Park +2 more
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Automatic Update of Indoor Location Fingerprints with Pedestrian Dead Reckoning
ACM Transactions on Embedded Computing Systems, 2015In this article, we propose a new method for automatically updating a Wi-Fi indoor positioning model on a cloud server by employing uploaded sensor data obtained from the smartphone sensors of a specific user who spends a lot of time in a given environment (e.g., a worker in the environment).
Daisuke Taniuchi, Takuya Maekawa
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Adaptive pedestrian activity classification for indoor dead reckoning systems
International Conference on Indoor Positioning and Indoor Navigation, 2013A pedestrian activity classification (PAC) system classifies pedestrian motion data into activities related to the usage of specific building facilities, such as going up on an escalator or descending a staircase. Recent studies confirm that use of PAC significantly reduces indoor localization errors of a pedestrian dead reckoning (PDR) system as exact
Sara Khalifa +2 more
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Design of a pedestrian dead-reckoning system and comparison of methods on the system
2018 26th Signal Processing and Communications Applications Conference (SIU), 2018In this study, the methods of pedestrian dead reckoning were implemented on a handheld embedded system by using measuring raw data obtained from inertial measurement unit sensors (IMU) and the best method was proposed after comparing them. The location estimation algorithms for pedestrians respectively are the orientation estimation, the step detection
Ozan Vahit Altinpinar +1 more
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Calibration of smartphone sensor data usable for pedestrian dead reckoning
2017 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2017There are an increasing number of smartphone applications using indoor positioning. Ideally, no additional infrastructure is needed and only sensors already present in smartphones are used to compute positions indoors. Therefore, approaches such as pedestrian dead reckoning and human motion monitoring are currently being reviewed.
Thomas Moder +3 more
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A Walking Velocity Update technique for pedestrian dead-reckoning applications
2011 IEEE 22nd International Symposium on Personal, Indoor and Mobile Radio Communications, 2011Inertial sensors for pedestrian dead-reckoning (PDR) have been attracting considerable attention recently. Since accelerometers are prone to the accumulation of errors, a “Zero Velocity Update” (Z-UPT) technique [1], [2] was proposed as a means to calibrate the velocity of pedestrians.
Chi-Chung Lo +4 more
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