scholarly journals EFFICIENT RANGE ALIGNMENT ALGORITHM FOR REAL-TIME RANGE-DOPPLER ALGORITHM

2017 ◽  
Vol 79 ◽  
pp. 127-137
Author(s):  
Joo-Ho Jung ◽  
Si-Ho Kim ◽  
Ji-Hoon Bae ◽  
Kyung-Tae Kim ◽  
Sang-Hong Park
Keyword(s):  
Real Time ◽  
Time Range ◽  
Alignment Algorithm ◽  
Range Alignment

The State of the Art in Real-Time Range Mapping — A Panel Discussion

1990 ◽  
pp. 341-346
Author(s):  
Joseph Wilder ◽  
J.K. Aggarwal ◽  
P. Besl ◽  
T. Kanade ◽  
A. Slotwinski ◽  
...  
Keyword(s):  
Real Time ◽  
State Of The Art ◽  
Panel Discussion ◽  
The State ◽  
Time Range

scholarly journals Pulse Radar with Field-Programmable Gate Array Range Compression for Real Time Displacement and Vibration Monitoring

Sensors ◽  
2018 ◽  
Vol 19 (1) ◽  
pp. 82
Author(s):  
Mihai-Liviu Tudose ◽  
Andrei Anghel ◽  
Remus Cacoveanu ◽  
Mihai Datcu
Keyword(s):  
Real Time ◽  
Cross Correlation ◽  
Vibration Monitoring ◽  
Time Range ◽  
Pulse Radar ◽  
Analog Front End ◽  
Compression Time ◽  
Field Programmable ◽  
Term Monitoring

This paper aims to present the basic functionality of a radar platform for real time monitoring of displacement and vibration. The real time capabilities make the radar platform useful when live monitoring of targets is required. The system is based on the RF analog front-end of a USRP, and the range compression (time-domain cross-correlation) is implemented on the FPGA included in the USRP. Further processing is performed on the host computer to plot real time range profiles, displacements, vibration frequencies spectra and spectrograms (waterfall plots) for long term monitoring. The system is currently in experimental form and the present paper aims to prove its functionality. The precision of this system is estimated (using the 3σ approximation) at 0.6 mm for displacement measurements and 1.8 mm for vibration amplitude measurements.

Real-time range estimation in electric vehicles using fuzzy logic classifier

2020 ◽  
Vol 83 ◽  
pp. 106577 ◽  
Author(s):  
Süleyman Çeven ◽  
Ahmet Albayrak ◽  
Raif Bayır
Keyword(s):  
Fuzzy Logic ◽  
Real Time ◽  
Electric Vehicles ◽  
Time Range ◽  
Range Estimation

scholarly journals Author Correction: A Monte Carlo feasibility study for neutron based real-time range verification in proton therapy

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Kristian Smeland Ytre-Hauge ◽  
Kyrre Skjerdal ◽  
John Mattingly ◽  
Ilker Meric
Keyword(s):  
Monte Carlo ◽  
Real Time ◽  
Feasibility Study ◽  
Proton Therapy ◽  
Time Range ◽  
Range Verification

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

scholarly journals A Real-Time Range Finding System with Binocular Stereo Vision

10.5772/50921 ◽  
2012 ◽  
Vol 9 (1) ◽  
pp. 26 ◽  
Author(s):  
Xiao-Bo Lai ◽  
Hai-Shun Wang ◽  
Yue-Hong Xu
Keyword(s):  
Real Time ◽  
Stereo Vision ◽  
Stereo Matching ◽  
Single Point ◽  
Time Range ◽  
Real Time Control ◽  
Matching Algorithm ◽  
Range Finding ◽  
Binocular Stereo Vision ◽  
Binocular Stereo

To acquire range information for mobile robots, a TMS320DM642 DSP-based range finding system with binocular stereo vision is proposed. Firstly, paired images of the target are captured and a Gaussian filter, as well as improved Sobel kernels, are achieved. Secondly, a feature-based local stereo matching algorithm is performed so that the space location of the target can be determined. Finally, in order to improve the reliability and robustness of the stereo matching algorithm under complex conditions, the confidence filter and the left-right consistency filter are investigated to eliminate the mismatching points. In addition, the range finding algorithm is implemented in the DSP/BIOS operating system to gain real-time control. Experimental results show that the average accuracy of range finding is more than 99% for measuring single-point distances equal to 120cm in the simple scenario and the algorithm takes about 39ms for ranging a time in a complex scenario. The effectivity, as well as the feasibility, of the proposed range finding system are verified.

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