ArticleSensors (Basel, Switzerland)2016
Pedestrian Navigation Using Foot-Mounted Inertial Sensor and LIDAR.
Article in Sensors (Basel, Switzerland), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- The Improved Method for Indoor 3D Pedestrian Positioning Based on Dual Foot-Mounted IMU System.Micromachines · 2023Article
- Artificial Neural Network Approach to Guarantee the Positioning Accuracy of Moving Robots by Using the Integration of IMU/UWB with Motion Capture System Data Fusion.Sensors (Basel, Switzerland) · 2022Article
- Valid and Reliable Barbell Velocity Estimation Using an Inertial Measurement Unit.International journal of environmental research and public health · 2021Article
- Fast calibration for parameters of an inertial measurement unit fixed to a standard walker.Heliyon · 2020Article
- A Real-Time Wearable Assist System for Upper Extremity Throwing Action Based on Accelerometers.Sensors (Basel, Switzerland) · 2020Article
- Article
- Performance Enhancement of Pedestrian Navigation Systems Based on Low-Cost Foot-Mounted MEMS-IMU/Ultrasonic Sensor.Sensors (Basel, Switzerland) · 2019Article
- A Walking-in-Place Method for Virtual Reality Using Position and Orientation Tracking.Sensors (Basel, Switzerland) · 2018Article
- Position Tracking During Human Walking Using an Integrated Wearable Sensing System.Sensors (Basel, Switzerland) · 2017Article
- LiDAR-IMU Time Delay Calibration Based on Iterative Closest Point and Iterated Sigma Point Kalman Filter.Sensors (Basel, Switzerland) · 2017Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Foot-mounted inertial sensors can be used for indoor pedestrian navigation. In this paper, to improve the accuracy of pedestrian location, we propose a method using a distance sensor (LIDAR) in addition to an inertial measurement unit (IMU). The distance sensor is a time of flight range finder with 30 m measurement range (at 33.33 Hz). Using a distance sensor, walls on corridors are automatically detected. The detected walls are used to correct the heading of the pedestrian path. Through experiments, it is shown that the accuracy of the heading is significantly improved using the proposed algorithm. Furthermore, the system is shown to work robustly in indoor environments with many doors and passing people.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.