253 citations · 1.2k across the 46 of their papers we have counts for
14 papers · 1 filter
LDNet: End-to-End Lane Marking Detection Approach Using a Dynamic Vision Sensor
Farzeen Munir, Shoaib Azam, Moongu Jeon +2
Modern vehicles are equipped with various driver-assistance systems, including automatic lane keeping, which prevents unintended lane departures. Traditional lane detection methods…
Online Multi-Object Tracking and Segmentation with GMPHD Filter and Mask-based Affinity Fusion
Young-min Song, Young-chul Yoon, Kwangjin Yoon +3
In this paper, we propose a highly practical fully online multi-object tracking and segmentation (MOTS) method that uses instance segmentation results as an input. The proposed met…
Exponentially Weighted l_2 Regularization Strategy in Constructing Reinforced Second-order Fuzzy Rule-based Model
Congcong Zhang, Sung-Kwun Oh, Witold Pedrycz +2
In the conventional Takagi-Sugeno-Kang (TSK)-type fuzzy models, constant or linear functions are usually utilized as the consequent parts of the fuzzy rules, but they cannot effect…
Bottom-up mechanism and improved contract net protocol for the dynamic task planning of heterogeneous Earth observation resources
Baoju Liu, Min Deng, Guohua Wu +3
Earth observation resources are becoming increasingly indispensable in disaster relief, damage assessment and related domains. Many unpredicted factors, such as the change of obser…
G-image Segmentation: Similarity-preserving Fuzzy C-Means with Spatial Information Constraint in Wavelet Space
Cong Wang, Witold Pedrycz, ZhiWu Li +2
G-images refer to image data defined on irregular graph domains. This work elaborates a similarity-preserving Fuzzy C-Means (FCM) algorithm for G-image segmentation and aims to dev…
An Autonomous Path Planning Method for Unmanned Aerial Vehicle based on A Tangent Intersection and Target Guidance Strategy
Huan Liu, Xiamiao Li, Mingfeng Fan +3
Unmanned aerial vehicle (UAV) path planning enables UAVs to avoid obstacles and reach the target efficiently. To generate high-quality paths without obstacle collision for UAVs, th…
Exploring Thermal Images for Object Detection in Underexposure Regions for Autonomous Driving
Farzeen Munir, Shoaib Azam, Muhammd Aasim Rafique +3
Underexposure regions are vital to construct a complete perception of the surroundings for safe autonomous driving. The availability of thermal cameras has provided an essential al…
A Novel Granular-Based Bi-Clustering Method of Deep Mining the Co-Expressed Genes
Kaijie Xu, Witold Pedrycz, Zhiwu Li +2
Traditional clustering methods are limited when dealing with huge and heterogeneous groups of gene expression data, which motivates the development of bi-clustering methods. Bi-clu…
Residual-driven Fuzzy C-Means Clustering for Image Segmentation
Cong Wang, Witold Pedrycz, ZhiWu Li +1
Due to its inferior characteristics, an observed (noisy) image's direct use gives rise to poor segmentation results. Intuitively, using its noise-free image can favorably impact im…
Augmentation of the Reconstruction Performance of Fuzzy C-Means with an Optimized Fuzzification Factor Vector
Kaijie Xu, Witold Pedrycz, Zhiwu Li
Information granules have been considered to be the fundamental constructs of Granular Computing (GrC). As a useful unsupervised learning technique, Fuzzy C-Means (FCM) is one of t…
Granular Computing: An Augmented Scheme of Degranulation Through a Modified Partition Matrix
Kaijie Xu, Witold Pedrycz, Zhiwu Li +1
As an important technology in artificial intelligence Granular Computing (GrC) has emerged as a new multi-disciplinary paradigm and received much attention in recent years. Informa…
Agile Earth observation satellite scheduling over 20 years: formulations, methods and future directions
Xinwei Wang, Guohua Wu, Lining Xing +1
Agile satellites with advanced attitude maneuvering capability are the new generation of Earth observation satellites (EOSs). The continuous improvement in satellite technology and…
Residual-Sparse Fuzzy -Means Clustering Incorporating Morphological Reconstruction and Wavelet frames
Cong Wang, Witold Pedrycz, ZhiWu Li +2
Instead of directly utilizing an observed image including some outliers, noise or intensity inhomogeneity, the use of its ideal value (e.g. noise-free image) has a favorable impact…
Kullback-Leibler Divergence-Based Fuzzy -Means Clustering Incorporating Morphological Reconstruction and Wavelet Frames for Image Segmentation
Cong Wang, Witold Pedrycz, ZhiWu Li +1
Although spatial information of images usually enhance the robustness of the Fuzzy C-Means (FCM) algorithm, it greatly increases the computational costs for image segmentation. To…