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|Title||Evaluation of Low-cost MEMS Accelerometers and Investigation of Inertial Algorithms for Dead Reckoning in Railway Environment|
|Date Available||2015-04-17 00:00:00|
|University/Publisher||University of Toronto|
Low-cost micro-electro-mechanical systems (MEMS) accelerometers are gaining momentum in the defence, aerospace, transportation, and automotive industries. While highcost accelerometers are being used on subway trains for their signalling systems, this work investigates the possibility of replacing them with low-cost MEMS devices. To achieve this goal, a 3D printer was modied for use as a three-dimensional motion platform and sensors were tested based on various characteristics. In addition, the sensors were tested on subway trains. The results show that the Kionix KXRB5 accelerometer performs the best, even out-performing the high-end sensor tested. Finally, inertial algorithms were developed that were able to estimate displacements to below 5% error on the evaluation platform and subway line. Although realtime displacement estimations were not accurate due to unstable bias due to tilting, these inertial algorithms use only the accelerometer sensor and can update displacements at points of zero velocity.
|Subjects/Keywords||accelerometer; localisation; MEMS; navigation; robotics; sensors; 0544|
|Contributors||Johns, A David; Electrical and Computer Engineering|
|Country of Publication||ca|