Jul 1, 2013 · A nominal iterative algorithm is an open-loop system; IMU data is then used to generate a control to modify the algorithm's behavior and thus ...
Abstract—Traditionally, image segmentation algorithms are viewed as black-box measurement sources. In this work, the system-level formulation of closed-loop ...
Compensating using IMU data in a feedback setting creates the possibility of induced track loss, whereby the compensation effectively undoes the action of the ...
IMU-Compensated Image Segmentation for Improved Vision-Based Control Performance. In IEEE Systems Conference, Pages 251-257, 2013. (more); I. Kolesov, P ...
Vela, A. Tannenbaum. IMU-Compensated Image Segmentation for Improved Vision-Based Control Performance. In IEEE Systems Conference, Pages 251-257, 2013 ...
This article presents a new visual–inertial tracking device for augmented and virtual reality applications and addresses two fundamental issues of such systems.
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Feb 25, 2024 · This paper provides an in-depth review of deep learning methods for inertial sensing and sensor fusion.
Sep 11, 2023 · This paper proposes a novel approach to tackle the human activity recognition (HAR) problem. Four classes of body movement datasets, namely stand-up, sit-down, ...
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IMU-compensated image segmentation for improved vision-based control performance. Conference Paper. Apr 2013. Peter Karasev · Patricio A. Vela ...
Dec 5, 2022 · Multi-sensor fusion perception demonstrates great feasibility to compensate for adverse visual events, undesired vibrations of inertia sensors, ...