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...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE transactions on intelligent transportation systems Vol. 21; no. 3; pp. 1145 - 1153
Main Authors:	Miah, Shahjahan, Milonidis, Efstathios, Kaparias, Ioannis, Karcanias, Nicholas
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.03.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	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
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!