activity
20172019
most citedPIVO: Probabilistic Inertial-Visual Odometry for Occlusion-Robust Navigation

38 citations · 38 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CV2019

Iterative Path Reconstruction for Large-Scale Inertial Navigation on Smartphones

Santiago Cortés Reina, Yuxin Hou, Juho Kannala +1

Modern smartphones have all the sensing capabilities required for accurate and robust navigation and tracking. In specific environments some data streams may be absent, less reliab…

cs.CV2018

Deep Learning Based Speed Estimation for Constraining Strapdown Inertial Navigation on Smartphones

Santiago Cortés, Arno Solin, Juho Kannala

Strapdown inertial navigation systems are sensitive to the quality of the data provided by the accelerometer and gyroscope. Low-grade IMUs in handheld smart-devices pose a problem…

cs.CV2018

ADVIO: An authentic dataset for visual-inertial odometry

Santiago Cortés, Arno Solin, Esa Rahtu +1

The lack of realistic and open benchmarking datasets for pedestrian visual-inertial odometry has made it hard to pinpoint differences in published methods. Existing datasets either…

cs.CV2018

Robust Gyroscope-Aided Camera Self-Calibration

Santiago Cortés Reina, Arno Solin, Juho Kannala

Camera calibration for estimating the intrinsic parameters and lens distortion is a prerequisite for various monocular vision applications including feature tracking and video stab…

cs.CV2017★ 38 cited

PIVO: Probabilistic Inertial-Visual Odometry for Occlusion-Robust Navigation

Arno Solin, Santiago Cortes, Esa Rahtu +1

This paper presents a novel method for visual-inertial odometry. The method is based on an information fusion framework employing low-cost IMU sensors and the monocular camera in a…