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Design and testing of a multi-sensor pedestrian location and navigation platform.

Morrison A, Renaudin V, Bancroft JB, Lachapelle G - Sensors (Basel) (2012)

Bottom Line: In order to achieve compatibility and flexibility in terms of multiple sensors, an advanced adaptable platform is required.The system provides a research tool for pedestrian navigation, location and body motion analysis in an unobtrusive form factor that enables in situ data collections with minimal gait and posture impact.Testing and examples of applications of the NavCube are provided.

View Article: PubMed Central - PubMed

Affiliation: PLAN Group, Schulich School of Engineering, The University of Calgary, Calgary AB, Canada. ajmorris@ucalgary.ca

ABSTRACT
Navigation and location technologies are continually advancing, allowing ever higher accuracies and operation under ever more challenging conditions. The development of such technologies requires the rapid evaluation of a large number of sensors and related utilization strategies. The integration of Global Navigation Satellite Systems (GNSSs) such as the Global Positioning System (GPS) with accelerometers, gyros, barometers, magnetometers and other sensors is allowing for novel applications, but is hindered by the difficulties to test and compare integrated solutions using multiple sensor sets. In order to achieve compatibility and flexibility in terms of multiple sensors, an advanced adaptable platform is required. This paper describes the design and testing of the NavCube, a multi-sensor navigation, location and timing platform. The system provides a research tool for pedestrian navigation, location and body motion analysis in an unobtrusive form factor that enables in situ data collections with minimal gait and posture impact. Testing and examples of applications of the NavCube are provided.

No MeSH data available.


ASP PPS and Sensor Epoch Alignment Example.
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f4-sensors-12-03720: ASP PPS and Sensor Epoch Alignment Example.

Mentions: Within the ASP, the IMU, magnetometer and barometer timing is driven by a custom timing and data controller. This controller ensures that the 100 Hz IMU, 100 Hz magnetometer and 25 Hz barometer data has a near zero delay between sensors. Additionally, the controller steers the sampling train of all sensors such that the epochs of the IMU and barometer coincide with the next predicted PPS event. As shown below in Figure 4, the steering process takes 2–3 s to complete, and ensures that users with multiple ASP units driven by a UTC synchronized PPS train will have simultaneous IMU and magnetometer samples within ±100 μs. Barometric pressure sample times are similarly steered to maintain their alignment to IMU/magnetometer sample epochs. However, as is depicted in the timing diagram below, the epoch of barometric sensor output is not steered into alignment with expected PPS events.


Design and testing of a multi-sensor pedestrian location and navigation platform.

Morrison A, Renaudin V, Bancroft JB, Lachapelle G - Sensors (Basel) (2012)

ASP PPS and Sensor Epoch Alignment Example.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3376552&req=5

f4-sensors-12-03720: ASP PPS and Sensor Epoch Alignment Example.
Mentions: Within the ASP, the IMU, magnetometer and barometer timing is driven by a custom timing and data controller. This controller ensures that the 100 Hz IMU, 100 Hz magnetometer and 25 Hz barometer data has a near zero delay between sensors. Additionally, the controller steers the sampling train of all sensors such that the epochs of the IMU and barometer coincide with the next predicted PPS event. As shown below in Figure 4, the steering process takes 2–3 s to complete, and ensures that users with multiple ASP units driven by a UTC synchronized PPS train will have simultaneous IMU and magnetometer samples within ±100 μs. Barometric pressure sample times are similarly steered to maintain their alignment to IMU/magnetometer sample epochs. However, as is depicted in the timing diagram below, the epoch of barometric sensor output is not steered into alignment with expected PPS events.

Bottom Line: In order to achieve compatibility and flexibility in terms of multiple sensors, an advanced adaptable platform is required.The system provides a research tool for pedestrian navigation, location and body motion analysis in an unobtrusive form factor that enables in situ data collections with minimal gait and posture impact.Testing and examples of applications of the NavCube are provided.

View Article: PubMed Central - PubMed

Affiliation: PLAN Group, Schulich School of Engineering, The University of Calgary, Calgary AB, Canada. ajmorris@ucalgary.ca

ABSTRACT
Navigation and location technologies are continually advancing, allowing ever higher accuracies and operation under ever more challenging conditions. The development of such technologies requires the rapid evaluation of a large number of sensors and related utilization strategies. The integration of Global Navigation Satellite Systems (GNSSs) such as the Global Positioning System (GPS) with accelerometers, gyros, barometers, magnetometers and other sensors is allowing for novel applications, but is hindered by the difficulties to test and compare integrated solutions using multiple sensor sets. In order to achieve compatibility and flexibility in terms of multiple sensors, an advanced adaptable platform is required. This paper describes the design and testing of the NavCube, a multi-sensor navigation, location and timing platform. The system provides a research tool for pedestrian navigation, location and body motion analysis in an unobtrusive form factor that enables in situ data collections with minimal gait and posture impact. Testing and examples of applications of the NavCube are provided.

No MeSH data available.