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Found 7 papers, 0 papers with code
Pose-GNN : Camera Pose Estimation System Using Graph Neural Networks
We propose a novel image based localization system using graph neural networks (GNN).
Guided Policy Search Based Control of a High Dimensional Advanced Manufacturing Process
In this paper we apply guided policy search (GPS) based reinforcement learning framework for a high dimensional optimal control problem arising in an additive manufacturing process.
A CNN-LSTM Quantifier for Single Access Point CSI Indoor Localization
This paper proposes a combined network structure between convolutional neural network (CNN) and long-short term memory (LSTM) quantifier for WiFi fingerprinting indoor localization.
Semi-Sequential Probabilistic Model For Indoor Localization Enhancement
In contrast, SSP leverages the information of the previous position to determine the probable location since the user's speed in an indoor environment is bounded and locations near the previous one have higher probability than the other locations.
Recurrent Neural Networks For Accurate RSSI Indoor Localization
This paper proposes recurrent neuron networks (RNNs) for a fingerprinting indoor localization using WiFi.
Multi-modal Sensor Registration for Vehicle Perception via Deep Neural Networks
The ability to simultaneously leverage multiple modes of sensor information is critical for perception of an automated vehicle's physical surroundings.
Occlusion Edge Detection in RGB-D Frames using Deep Convolutional Networks
Occlusion edges in images which correspond to range discontinuity in the scene from the point of view of the observer are an important prerequisite for many vision and mobile robot tasks.
