ODOMETRY AND LOW-COST SENSOR FUSION IN TMM DATASET

• Published in: International archives of the photogrammetry, remote sensing and spatial information sciences. Vol. XL-3/W4; pp. 27 - 34
• Main Authors: Manzino, A. M., Taglioretti, C.
• Format: Journal Article Conference Proceeding
• Language: English
• Published: Gottingen Copernicus GmbH 17.03.2016; Copernicus Publications
• Subjects: Acceleration; Angular velocity; Canyons; Filtration; Instruments; Kalman filters; Mapping; Mathematical models; Movement; Obstructions; Odometers; Onboard; Photogrammetry; Polls & surveys; Solutions; Street canyons; Surveying; Terrestrial environments; Trajectories; Velocity

The aim of this study is to identify the most powerful motion model and filtering technique to represent an urban terrestrial mobile mapping (TMM) survey and ultimately to obtain the best representation of the car trajectory. The authors want to test how far a motion model and a more or less refined...