Enhancing Body-Mounted LiDAR SLAM using an IMU-based Pedestrian Dead Reckoning (PDR) Model [PDF]
2020 IEEE 63rd International Midwest Symposium on Circuits and Systems (MWSCAS), 2020 Simultaneous localization and mapping for human body-mounted platforms have been recently the focus of navigation research to support a wide range of applications such as rescue, first-responders, mining, and defense. For vehicular platforms, wheel odometry has been used to enhance the accuracy of SLAM.
Hamza Sadruddin +2 more
core +4 more sources
SHAKF-PU: Sage-Husa Adaptive Kalman Filtering-Based Pedestrian Characteristic Parameter Update Mechanism for Enhancing Step Length Estimation in Pedestrian Dead Reckoning. [PDF]
Appl Bionics BiomechStep length estimation (SLE) is the core process for pedestrian dead reckoning (PDR) for indoor positioning. Original SLE requires accurate estimations of pedestrian characteristic parameter (PCP) by the linear update, which may cause large distance ...
Tseng CH, Wu JY.
europepmc +3 more sources
Smartphone-Based Pedestrian Dead Reckoning for 3D Indoor Positioning [PDF]
Sensors, 2021 Indoor localization based on pedestrian dead reckoning (PDR) is drawing more and more attention of researchers in location-based services (LBS). The demand for indoor localization has grown rapidly using a smartphone.
Jijun Geng +5 more
doaj +2 more sources
Improved Pedestrian Dead Reckoning Based on a Robust Adaptive Kalman Filter for Indoor Inertial Location System [PDF]
Sensors, 2019 Pedestrian dead reckoning (PDR) systems based on a microelectromechanical-inertial measurement unit (MEMS-IMU) providing advantages of full autonomy and strong anti-jamming performance are becoming a feasible choice for pedestrian indoor positioning.
Qigao Fan +8 more
doaj +2 more sources
Pedestrian Dead Reckoning with Low-Cost Foot-Mounted IMU Sensor [PDF]
Micromachines, 2022 In this paper, we researched Pedestrian Dead Reckoning (PDR) with one foot-mounted IMU sensor. The issues of PDR are magnetism noise and accumulated error due to the noise included in acceleration and gyro data.
Shunsei Yamagishi, Lei Jing
doaj +2 more sources
Drift Control of Pedestrian Dead Reckoning (PDR) for Long Period Navigation under Different Smartphone Poses [PDF]
The 8th International Electronic Conference on Sensors and Applications, 2021 The inherent errors of low-cost inertial sensors cause significant heading drift that accumulates over time, making it difficult to rely on Pedestrian Dead Reckoning (PDR) for navigation over a long period.
Ahmed Mansour +5 more
openaire +3 more sources
Use of High Sensitivity GNSS Receiver Doppler Measurements for Indoor Pedestrian Dead Reckoning [PDF]
Sensors, 2013 Dead-reckoning (DR) algorithms, which use self-contained inertial sensors combined with gait analysis, have proven to be effective for pedestrian navigation purposes. In such DR systems, the primary error is often due to accumulated heading drifts.
Gérard Lachapelle +3 more
doaj +2 more sources
Pedestrian Dead-Reckoning Indoor Localization Based on OS-ELM
IEEE Access, 2018 Smartphone-based pedestrian dead-reckoning (PDR) has become promising in indoor localization since it locates users with a smartphone only. However, existing PDR approaches are still facing the problem of accumulated localization errors due to low-cost ...
Mingyang Zhang +2 more
exaly +3 more sources
Robust Pedestrian Dead Reckoning Based on MEMS-IMU for Smartphones [PDF]
Sensors, 2018 This paper proposes a pedestrian dead reckoning (PDR) algorithm based on the strap-down inertial navigation system (SINS) using the gyros, accelerometers, and magnetometers on smartphones. In addition to using a gravity vector, magnetic field vector, and
Jian Kuang, Xiaoji Niu, Xingeng Chen
doaj +2 more sources
S-PDR: A Novel Pedestrian Dead Reckoning Algorithm with step-based attitude corrections for Free-Moving Handheld devices [PDF]
, 2021 Mobile location-based services (MLBS) are attracting attention for their potential public applications and personal use. MLBS can be used for a variety of applications such as location-based advertisement, smart shopping, smart cities, health applications, emergency response, and even gamming.
khedr, maan E.
openaire +3 more sources