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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.


Pedestrian testing results collected using the NavCube in the dense urban canyon environment of downtown Calgary. The white trace is the truth trajectory produced by a SPAN™ LCI tactical grade inertial navigation system (INS), the red trace is the trajectory produced by a GPS+GLONASS GNSS receiver and the green trace is derived from combined GPS+GLONASS with IMU, barometric, and magnetic field measurements [38].
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f8-sensors-12-03720: Pedestrian testing results collected using the NavCube in the dense urban canyon environment of downtown Calgary. The white trace is the truth trajectory produced by a SPAN™ LCI tactical grade inertial navigation system (INS), the red trace is the trajectory produced by a GPS+GLONASS GNSS receiver and the green trace is derived from combined GPS+GLONASS with IMU, barometric, and magnetic field measurements [38].

Mentions: Some applications allow or require that the navigation system or tracking device be mounted on the user’s ankle. Using the NavCube as a platform, data was collected from an ankle-mounted combination of ASP pod and the antenna from the NavCube integrated u-blox 6 HSGNSS system. The results of this collection are shown in Figure 8 where data from the reference trajectory obtained from a SPAN™ LCI tactical grade inertial system is shown in white, while HSGPS alone is in red, and the combined ASP plus HSGPS ankle data is shown in green. The algorithms and additional analysis are provided in [38].


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

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

Pedestrian testing results collected using the NavCube in the dense urban canyon environment of downtown Calgary. The white trace is the truth trajectory produced by a SPAN™ LCI tactical grade inertial navigation system (INS), the red trace is the trajectory produced by a GPS+GLONASS GNSS receiver and the green trace is derived from combined GPS+GLONASS with IMU, barometric, and magnetic field measurements [38].
© Copyright Policy
Related In: Results  -  Collection

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

f8-sensors-12-03720: Pedestrian testing results collected using the NavCube in the dense urban canyon environment of downtown Calgary. The white trace is the truth trajectory produced by a SPAN™ LCI tactical grade inertial navigation system (INS), the red trace is the trajectory produced by a GPS+GLONASS GNSS receiver and the green trace is derived from combined GPS+GLONASS with IMU, barometric, and magnetic field measurements [38].
Mentions: Some applications allow or require that the navigation system or tracking device be mounted on the user’s ankle. Using the NavCube as a platform, data was collected from an ankle-mounted combination of ASP pod and the antenna from the NavCube integrated u-blox 6 HSGNSS system. The results of this collection are shown in Figure 8 where data from the reference trajectory obtained from a SPAN™ LCI tactical grade inertial system is shown in white, while HSGPS alone is in red, and the combined ASP plus HSGPS ankle data is shown in green. The algorithms and additional analysis are provided in [38].

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.