Multi-sensor Data Fusion by Improved Hough Transformation

Zhang Hongbin

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Multi-sensor Data Fusion by Improved Hough Transformation

机译：通过改进的Hough变换实现多传感器数据融合

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摘要

In this paper we present an evidence-gathering approach to slove the multi-sensor data fusion problem. It uses an improved Hough transformation method rather than the usual statistical or geometric approach to extract the directions and positions of the walls in a room and update the location (orientation and position) of a mobile robot. The simulation results show that the proposed method is of practical importance since it is very simple and easy to implement.

机译：在本文中，我们提出了一种证据收集方法来解决多传感器数据融合问题。它使用改进的霍夫变换方法而不是通常的统计或几何方法来提取房间中墙壁的方向和位置，并更新移动机器人的位置（方向和位置）。仿真结果表明，该方法简单易行，具有实际意义。

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来源
《High Technology Letters》 |1995年第2期|p.7-11|共5页
作者
Zhang Hongbin;
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作者单位

Computer Institute of Beijing Polytechnic University, Beijing 100044, P. R. China;

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原文格式 PDF
正文语种 eng
中图分类工业技术;自然科学总论;
关键词
multi-sensor data fusion; hough transformation; mobile robot;

机译：多传感器数据融合;变换;移动机器人;

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专利

1. Multi-sensor Data Fusion by Improved Hough Transformation [J] . 张鸿宾高技术通讯：英文版 . 1995,第002期

机译：通过改进的Hough变换进行多传感器数据融合
2. Multi-Sensor Data Fusion Based on Improved Analytic Hierarchy Process [J] . Deng Zhan, Wang Jianyu Quality Control, Transactions . 2020,第期

机译：基于改进的分析层次过程的多传感器数据融合
3. A New Method to Improve Fault Location Accuracy in Transmission Line Based on Fuzzy Multi-Sensor Data Fusion [J] . Jiao Zaibin, Wu Rundong Smart Grid, IEEE Transactions on . 2019,第4期

机译：基于模糊多传感器数据融合的输电线路故障定位精度提高方法
4. Performance evaluation on contour extraction using Hough transform and RANSAC for multi-sensor data fusion applications in industrial food inspection [C] . M. Kröger, W. Sauer-Greff, R. Urbansky, IEEE Conference on Signal Processing: Algorithms, Architectures, Arrangements, and Applications . 2016

机译：基于霍夫变换和RANSAC的轮廓提取在工业食品检测中多传感器数据融合应用中的性能评估
5. A feature-decision fusion approach for improved target recognition of an existing multi-sensor configuration in real world. [D] . Park, Rae Yoon. 1997

机译：一种特征决策融合方法，用于改善现实世界中现有多传感器配置的目标识别。
6. On the Accuracy of Fault Diagnosis for Rolling Element Bearings Using Improved DFA and Multi-Sensor Data Fusion Method [O] . Qiang Song, Sifang Zhao, Mingsheng Wang 2020

机译：采用改进的DFA和多传感器数据融合方法对滚动元件轴承故障诊断的准确性
7. On the Accuracy of Fault Diagnosis for Rolling Element Bearings Using Improved DFA and Multi-Sensor Data Fusion Method [O] . Qiang Song, Sifang Zhao, Mingsheng Wang 2020

机译：采用改进的DFA和多传感器数据融合方法对滚动元件轴承故障诊断的准确性

Multi-sensor Data Fusion by Improved Hough Transformation

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