Search Results - spatial clustering algorithm AND obstacles

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

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

Adaptive spatial clustering in the presence of obstacles and facilitators by 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…”
Get full text

Spatial clustering algorithm with obstacles constraints by quantum particle swarm optimization and K-Medoids by 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…”
Get full text

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

“…In this paper, we propose an efficient clustering technique to solve the problem of clustering in the presence of obstacles…”
Get full text

An improved DBSCAN Algorithm for hazard recognition of obstacles in unmanned scenes by 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…”
Get full text

Clustering with obstacles for Geographical Data Mining by 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…”
Get full text

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

“…Obstacle detection on the railway, a crucial operational safety concern, is a complex task that encompasses a multitude of challenges…”
Get full text

Grid-Based Hierarchical Spatial Clustering Algorithm in Presence of Obstacle and Constraints by 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…”
Get full text

A Novel Spatial Clustering with Obstacles Constraints Based on Genetic Algorithms and K-Medoids by 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…”
Get full text

Kernel Sparse Subspace Clustering with a Spatial Max Pooling Operation for Hyperspectral Remote Sensing Data Interpretation by 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…”
Get full text

Autonomous Navigation of Quadrotors in Dynamic Complex Environments by 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…”
Get full text

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

“… This paper proposes an algorithm for detecting close obstacles with FMCW radar using the clustering method…”
Get full text

A Dynamic Clustering Algorithm for Lidar Obstacle Detection of Autonomous Driving System by Gao, Feng, Li, Caihong, Zhang, Bowen

“… For adaption to this spatial non-uniformity, a dynamic clustering algorithm is proposed based on the spatial distribution analysis of the point cloud along different directions…”
Get full text

Genetic K-Medoids Spatial Clustering with Obstacles Constraints by 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…”
Get full text

Assessment algorithm of power supply reliability for customers in rural healthcare centres by Wei, Zhifeng, Gao, Bingqiang, Liu, Haiyang, An, Lili, Wang, Pengfei, Xia, Liu, Fei, Changshun

“… In addition to ANNs, an optimization algorithm based on Density…”
Get full text

Design and Test of Obstacle Detection and Harvester Pre-Collision System Based on 2D Lidar by Shang, Yehua, Wang, Hao, Qin, Wuchang, Wang, Qian, Liu, Huaiyu, Yin, Yanxin, Song, Zhenghe, Meng, Zhijun

“… (density-based spatial clustering of applications with noise) to identify the obstacle and calculate of the collision time according to the 6σ principle…”
Get full text

The study on immune spatial clustering model based on obstacle by 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…”
Get full text

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

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

A mean shift algorithm incorporating reachable distance for spatial clustering by Peng, Youwei, Luo, Yalan, Zhang, Qiongbing, Xie, Chengwang

“…Spatial clustering is a widely used technique in spatial analysis that groups similar objects together based on their proximity in space…”
Get full text

Obstacle Detection by Autonomous Vehicles: An Adaptive Neighborhood Search Radius Clustering Approach by Jiang, Wuhua, Song, Chuanzheng, Wang, Hai, Yu, Ming, Yan, Yajie

“… Clustering is a common means for point cloud processing; however, improper selection of clustering thresholds can lead to under-segmentation or over-segmentation of point clouds, resulting in false detection or missed detection of obstacles…”
Get full text