Suchergebnisse - spatial clustering algorithm AND obstacles*

A Novel Artificial Immune Algorithm for Spatial Clustering with Obstacle Constraint and Its Applications von Zhang, Ji, Ding, Xintao, Luo, Yonglong, Sun, Liping

“… ) algorithm for clustering spatial point data in the presence of obstacles and facilitators …”
Volltext

Spatial clustering algorithm with obstacles constraints by quantum particle swarm optimization and K-Medoids von Yang Teng-Fei, Zhang Xue-Ping

“… After analyzed the existing algorithms of spatial clustering with obstacles constraints, the paper proposed a new spatial clustering algorithm with obstacles constraints combined QPSO with K-Medoids, which named QKSCO …”
Volltext

Algorithm for Spatial Clustering with Obstacles von El-Sharkawi, Mohamed E, El-Zawawy, Mohamed A

“… The proposed algorithm divides the spatial area into rectangular cells. Each cell is associated with statistical information that enables us to label the cell as dense or non-dense …”
Volltext

Clustering with obstacles for Geographical Data Mining von Estivill-Castro, Vladimir, Lee, Ickjai

“… Clustering algorithms typically use the Euclidean distance. However, spatial proximity is dependent on obstacles, caused by related information in other layers of the spatial database …”
Volltext

Grid-Based Hierarchical Spatial Clustering Algorithm in Presence of Obstacle and Constraints von Yue Yang, Jian-pei Zhang, Jing Yang

“… Most of the existing spatial clustering algorithm in presence of obstacles and constraints can't cluster with irregular obstacles and the veracity of clustering result is affected …”
Volltext

Adaptive spatial clustering in the presence of obstacles and facilitators von Liu, Qiliang, Deng, Min, Shi, Yan

“… ) is proposed in this paper, and an adaptive spatial clustering algorithm, called ASCDT+, is also developed. The ASCDT+ algorithm can take both obstacles and facilitators …”
Volltext

A Novel Spatial Clustering with Obstacles Constraints Based on Genetic Algorithms and K-Medoids von Xueping Zhang, Jiayao Wang, Fang Wu, Zhongshan Fan, Xiaoqing Li

“… In this paper, we discuss the problem of spatial clustering with obstacles constraints and propose a novel spatial clustering method based on genetic algorithms (GAs …”
Volltext

An improved DBSCAN Algorithm for hazard recognition of obstacles in unmanned scenes von Zhang, Wenying

“… In view of the complexity of obstacle danger identification, this research paper designs an improved Density-Based Spatial Clustering of Applications with Noise (DBSCAN …”
Volltext

A LiDAR based obstacle detection framework for railway von Dias, Susana, Sousa, Pedro, Afonso, Francisco, Viriato, Nuno, Tavares, Paulo, Moreira, Pedro

“… While Machine Learning (ML) algorithms are commonly employed in analogous applications such as autonomous car driving [1] [2 …”
Volltext

Detection of Side Wall Protrusions in Highway Tunnel Based on LiDAR von Jin, Jiaqi, Tan, Guanzheng, Xu, Degang

“… (RG) algorithm and the improved Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm …”
Volltext

Object Detection and Tracking System with Improved DBSCAN Clustering using Radar on Unmanned Surface Vehicle von Im, Soori, Kim, Donghoon, Cheon, Hoiyoung, Ryu, Jaekwan

“… Suggested algorithm compute spatial data from the Range-Doppler map given by FMCW radar. And apply Density-based spatial clustering of applications …”
Volltext

RESEARCH ON AGRICULTURAL VEHICLE SAFETY WARNING SYSTEM BASED ON LIDAR von KONG, Weiyu, HU, Guangrui, ZHANG, Shuo, ZHOU, Jianguo, GAO, Zening, CHEN, Jun

“… In this paper, a two-dimensional lidar is used to detect obstacles in front of tractors with the Density-Based Spatial Clustering of Applications with Noise(DBSCAN …”
Volltext

Autonomous Navigation of Quadrotors in Dynamic Complex Environments von Li, Ruocheng, Xin, Bin

“… The density-based spatial clustering of applications with noise (DBSCAN) algorithm is employed to extract the positions and velocities of dynamic obstacles within the environment …”
Volltext

The study on immune spatial clustering model based on obstacle von Hai-Dong Yang, Fei-Qi Deng

“… The problem of clustering in the presence of obstacles was studied and defined. As a solution to this problem and based on K-medoids, a scalable new clustering algorithm, called immune spatial clustering model based on obstacle was proposed …”
Volltext

Kernel Sparse Subspace Clustering with a Spatial Max Pooling Operation for Hyperspectral Remote Sensing Data Interpretation von Zhai, Han, Zhang, Hongyan, Xu, Xiong, Zhang, Liangpei, Li, Pingxiang

“… In this paper, to overcome these obstacles, we present a new kernel sparse subspace clustering algorithm with a spatial max pooling operation (KSSC-SMP …”
Volltext

Genetic K-Medoids Spatial Clustering with Obstacles Constraints von Xueping Zhang, Jiayao Wang, Fang Wu, Zhongshan Fan, Wenbo Xu

“… Spatial clustering is an important research topic in spatial data mining (SDM). It is not only an important effective method but also a prelude of other task for SDM …”
Volltext

Fuzzy Clustering with Obstructed Distance Based on Quantum-Behaved Particle Swarm Optimization von Ping Lu, An-Xin Zhao

“… The new spatial clustering with obstacles constrained algorithm avoids the fitness value of clustering falling into local extremum in a large degree …”
Volltext

NMPC Based-Trajectory Tracking and Obstacle Avoidance for Mobile Robots von Qasim, Mohammed Salim, Ayoub, Abdurahman Basil, Abdulla, Abdulla Ibrahim

“… The points that belong to each obstacle are then clustered together using the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm …”
Volltext

LiDAR-based Model Predictive Control using Control Barrier Functions von Tooranjipour, Pouria, Kiumarsi, Bahare

“… A CBF is synthesized from 2D LiDAR data points by first clustering obstacles using the Density-Based Spatial Clustering of Applications with Noise (DBSCAN …”
Volltext

A Revised Ant Clustering Algorithm with Obstacle Constraints von Jianhua Qu, Xiyu Liu

“… This paper discusses the problem of spatial clustering with obstacles constraints and presents a revised method named ant clustering algorithm with obstacle constraints(ACAOC …”
Volltext