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Found 18 papers, 5 papers with code
Coded Event-triggered Control for Nonlinear Systems
This paper studies a Coded Event-triggered Control (CEC) for a class of nonlinear systems under any initial condition.
Event-Triggered Tracking Control for Nonlinear Systems With Prescribed Performance
Abstract—This article addresses the entry capture problem (ECP) of uncertain nonlinear systems under asymmetric performance constraints.
Dual Radar: A Multi-modal Dataset with Dual 4D Radar for Autonomous Driving
Compared with commonly used 3D radars, the latest 4D radars have precise vertical resolution and higher point cloud density, making it a highly promising sensor for autonomous driving in complex environmental perception.
Learning the Network of Graphs for Graph Neural Networks
Our model solves the first issue by simultaneously learning multiple relation graphs of data samples as well as a relation network of graphs, and solves the second and the third issue by selecting important data features as well as important data sample relations.
Balanced control between performance and saturation for constrained nonlinear systems
This paper addresses the balanced control between performance and saturation for a class of constrained nonlinear systems, including the branches: balanced command filtered backstepping (BCFB) and balanced performance control (BPC).
Low-resolution Human Pose Estimation
Human pose estimation has achieved significant progress on images with high imaging resolution.
Nearest Neighborhood-Based Deep Clustering for Source Data-absent Unsupervised Domain Adaptation
To reach this goal, we construct the nearest neighborhood for every target data and take it as the fundamental clustering unit by building our objective on the geometry.
Person image generation with semantic attention network for person re-identification
To address this issue, we propose a novel person pose-guided image generation method, which is called the semantic attention network.
G-image Segmentation: Similarity-preserving Fuzzy C-Means with Spatial Information Constraint in Wavelet Space
G-images refer to image data defined on irregular graph domains.
Adaptive Feedforward Neural Network Control with an Optimized Hidden Node Distribution
Composite adaptive radial basis function neural network (RBFNN) control with a lattice distribution of hidden nodes has three inherent demerits: 1) the approximation domain of adaptive RBFNNs is difficult to be determined a priori; 2) only a partial persistence of excitation (PE) condition can be guaranteed; and 3) in general, the required number of hidden nodes of RBFNNs is enormous.
Adaptive Control for Marine Vessels Against Harsh Environmental Variation
In this paper, robust control with sea state observer and dynamic thrust allocation is proposed for the Dynamic Positioning (DP) of an accommodation vessel in the presence of unknown hydrodynamic force variation and the input time delay.
Small traffic sign detection from large image
It concatenates the features of the different layers into a fused feature map to provide sufficient information for small traffic sign detection.
Saliency Guided Hierarchical Robust Visual Tracking
A saliency guided hierarchical visual tracking (SHT) algorithm containing global and local search phases is proposed in this paper.
Shallow Cue Guided Deep Visual Tracking via Mixed Models
The generated four local heat maps will facilitate to rectify the holistic map by eliminating the distracters to avoid drifting.
Temporal Convolutional Memory Networks for Remaining Useful Life Estimation of Industrial Machinery
This paper, introduces a system model that incorporates temporal convolutions with both long term and short term time dependencies.
Fine-grained visual recognition with salient feature detection
Computer vision based fine-grained recognition has received great attention in recent years.
Object Activity Scene Description, Construction and Recognition
Although, the existing approaches are good at action recognition, it is a great challenge to recognize a group of actions in an activity scene.
Role Playing Learning for Socially Concomitant Mobile Robot Navigation
In this paper, we present the Role Playing Learning (RPL) scheme for a mobile robot to navigate socially with its human companion in populated environments.
