Realistic 3d Modeling System for Remote Controlled Construction Machines: Multi- Sensor Fusion Based Approach

نویسندگان

  • Hyojoo Son
  • Changwan Kim
چکیده

An important feature of remote controlled machines is the realistic three-dimensional (3D) modeling system for providing information feedback to the remote operator and facilitating remote operation. This paper describes a system for creating realistic 3D models of actual construction environments for the purpose of improving and extending the capabilities of interactive visual feedback between the operator and remote controlled construction machines during earthmoving operations. The proposed approach utilizes the fused data from a flash LADAR and a stereo vision system. The modeling process consists of three main steps: data filtering for noise reduction, data fusion for data enhancement, and realistic 3D model generation for visualization purposes. Field experiments were conducted on a construction site to validate the proposed system. Preliminary research results show that the resulting realistic 3D model can be successfully employed for the development of remote controlled construction machines that require interactive visual feedback.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Model-based Approach for Multi-sensor Fault Identification in Power Plant Gas Turbines

In this paper, ‎the multi-sensor fault diagnosis in the exhaust temperature sensors of a V94.2 heavy duty gas turbine is presented‎. ‎A Laguerre network-based fuzzy modeling approach is presented to predict the output temperature of the gas turbine for sensor fault diagnosis‎. Due to the nonlinear dynamics of the gas turbine, in these models the Laguerre filter parts are related to the linear d...

متن کامل

Object Level Strategy for Spectral Quality Assessment of High Resolution Pan-sharpen Images

Panchromatic and multi-spectral images produced by the remote sensing satellites are fused together to provide a multi-spectral image with a high spatial resolution at the same time. The spectral quality of the fused images is very important because the quality of a large number of remote sensing products depends on it. Due to the importance of the spectral quality of the fused images, its eval...

متن کامل

Detecting Surface Waters Using Data Fusion of Optical and Radar Remote Sensing Sensor

Identification and monitoring of surface water using remote sensing have become very important in recent decades due to its importance in human needs and political decisions. Therefore, surface water has been studied using remote sensing systems and Sentinel-1 and Sentinel-2 sensors in this study. In this paper, two data fusion approaches and decision fusion improve the accuracy of surface wate...

متن کامل

Data Fusion and Multi-Criteria Decision Making for Producing Oil and Gas Resources Potential Maps (Case Study: Saracheh Zone, Qom Province)

This paper focuses on the application of Geoinformatic methods (simultaneous using of remote sensing, geographic information system, global positioning system, terrestrial and aerial photogrammetry) in optimal operation and exploration risk reduction of oil and gas reservoirs. To approach the purpose, two aspects of remote sensing (satellite image) and terrestrial and aerial photogrammetry have...

متن کامل

A New Fault Tolerant Nonlinear Model Predictive Controller Incorporating an UKF-Based Centralized Measurement Fusion Scheme

A new Fault Tolerant Controller (FTC) has been presented in this research by integrating a Fault Detection and Diagnosis (FDD) mechanism in a nonlinear model predictive controller framework. The proposed FDD utilizes a Multi-Sensor Data Fusion (MSDF) methodology to enhance its reliability and estimation accuracy. An augmented state-vector model is developed to incorporate the occurred senso...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2011