An Innovative Multi-Sensor Fusion Algorithm to Enhance Positioning Accuracy of an Instrumented Bicycle

Cycling is an increasingly popular mode of travel in cities, but its poor safety record currently acts as a hurdle to its wider adoption as a real alternative to the private car. A particular source of hazard appears to originate from the interaction of cyclists with motorized traffic at low speeds...

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Vydáno v:	IEEE transactions on intelligent transportation systems Ročník 21; číslo 3; s. 1145 - 1153
Hlavní autoři:	Miah, Shahjahan, Milonidis, Efstathios, Kaparias, Ioannis, Karcanias, Nicholas
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.03.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Accurate localisation Algorithms Angles (geometry) bicycle geometry bicycle kinematics Bicycles Bicycling Collision avoidance data acquisition instrumented bicycle Kalman filters Kinematics Localization MEMS sensors Multisensor fusion Position measurement Rolling motion safety sensor fusion Sensors Steering survey data Traffic speed Trajectory Turning Urban areas Urban environments Wheels Yaw
ISSN:	1524-9050, 1558-0016
On-line přístup:	Získat plný text
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