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Found 5 papers, 2 papers with code
GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional Network
In particular, our method provided comparable and promising results with a high prediction accuracy of 89% on the publicly KITTI and Make3D datasets along with a reduction of 40% in the number of trainable parameters compared to the state of the art solutions.
Ranked #1 on
Monocular Depth Estimation
on Make3D
Designing and Analyzing the PID and Fuzzy Control System for an Inverted Pendulum
The inverted pendulum is a non-linear unbalanced system that needs to be controlled using motors to achieve stability and equilibrium.
Using The Feedback of Dynamic Active-Pixel Vision Sensor (Davis) to Prevent Slip in Real Time
The objective of this paper is to describe an approach to detect the slip and contact force in real-time feedback.
DQRE-SCnet: A novel hybrid approach for selecting users in Federated Learning with Deep-Q-Reinforcement Learning based on Spectral Clustering
In many applications, learning participant communication rounds benefit from collecting their own private data sets, teaching detailed machine learning models on the real data, and sharing the benefits of using these models.
Absolute distance prediction based on deep learning object detection and monocular depth estimation models
Determining the distance between the objects in a scene and the camera sensor from 2D images is feasible by estimating depth images using stereo cameras or 3D cameras.
