AMENet is a monocular depth estimation network designed for automatic stereoscopic display
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-56095-1
Abstract: Monocular depth estimation has a wide range of applications in the field of autostereoscopic displays, while accuracy and robustness in complex scenes are still a challenge. In this paper, we propose a depth estimation network… read more here.
Keywords: depth estimation; monocular depth; estimation; estimation network ... See more keywords
SDPENet: A Lightweight Spacecraft Pose Estimation Network With Discrete Euler Angle Probability Distribution
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2025.3540379
Abstract: Utilizing deep learning techniques for spacecraft pose estimation enables using low-cost sensors like monocular cameras. However, the existing methods have drawbacks, such as complex models or low estimation accuracy. Therefore, this letter proposes the Spacecraft… read more here.
Keywords: estimation network; pose estimation; estimation; spacecraft pose ... See more keywords
Forming Distributed State Estimation Network From Decentralized Estimators
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Control Systems Technology"
DOI: 10.1109/tcst.2018.2866556
Abstract: In this paper, we focus on the distributed state estimation of nonlinear systems comprised of several subsystems. We assume that a decentralized state estimation system already exists for the nonlinear system, where the local estimators… read more here.
Keywords: estimation network; distributed state; state estimation; state ... See more keywords