Experimental methodology for performance characterization of a line detection algorithm

1991 ◽  
Author(s):  
Tapas Kanungo ◽  
Mysore Y. Jaisimha ◽  
Robert M. Haralick ◽  
John Palmer
Keyword(s):  
Detection Algorithm ◽  
Experimental Methodology ◽  
Line Detection ◽  
Performance Characterization

Performance characterization of the dynamic programming obstacle detection algorithm

2006 ◽  
Vol 15 (5) ◽  
pp. 1202-1214 ◽  
Author(s):  
T. Gandhi ◽  
Mau-Tsuen Yang ◽  
R. Kasturi ◽  
O.I. Camps ◽  
L.D. Coraor ◽  
...  
Keyword(s):  
Dynamic Programming ◽  
Detection Algorithm ◽  
Obstacle Detection ◽  
Performance Characterization

scholarly journals Performance Characterization of Composite Powders for 3D Printing

2021 ◽  
Vol 714 (3) ◽  
pp. 032070
Author(s):  
Xiangjun Bi ◽  
Hongjie Zhao ◽  
Yuanxun Gong ◽  
Xinghong Zhou
Keyword(s):  
3D Printing ◽  
Composite Powders ◽  
Performance Characterization

scholarly journals Low Complexity Lane Detection Methods for Light Photometry System

Electronics ◽  
2021 ◽  
Vol 10 (14) ◽  
pp. 1665
Author(s):  
Jakub Suder ◽  
Kacper Podbucki ◽  
Tomasz Marciniak ◽  
Adam Dąbrowski
Keyword(s):  
Edge Detection ◽  
Optimal Path ◽  
Color Space ◽  
Low Complexity ◽  
Detection Algorithm ◽  
Lane Detection ◽  
Detection Methods ◽  
Raspberry Pi ◽  
Line Detection ◽  
Hsv Color Space

The aim of the paper was to analyze effective solutions for accurate lane detection on the roads. We focused on effective detection of airport runways and taxiways in order to drive a light-measurement trailer correctly. Three techniques for video-based line extracting were used for specific detection of environment conditions: (i) line detection using edge detection, Scharr mask and Hough transform, (ii) finding the optimal path using the hyperbola fitting line detection algorithm based on edge detection and (iii) detection of horizontal markings using image segmentation in the HSV color space. The developed solutions were tuned and tested with the use of embedded devices such as Raspberry Pi 4B or NVIDIA Jetson Nano.

Design, Installation, and Performance Characterization of a Laboratory-Scale Solar Thermal System for Experiments in Solar Energy Utilization

2012 ◽  
Author(s):  
Stephanie Drozek ◽  
Christopher Damm ◽  
Ryan Enot ◽  
Andrew Hjortland ◽  
Brandon Jackson ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Solar Energy ◽  
Laboratory Scale ◽  
Energy Utilization ◽  
Solar Thermal ◽  
Thermal System ◽  
Performance Characterization ◽  
And Performance ◽  
Solar Thermal System

The purpose of this paper is to describe the implementation of a laboratory-scale solar thermal system for the Renewable Energy Systems Laboratory at the Milwaukee School of Engineering (MSOE). The system development began as a student senior design project where students designed and fabricated a laboratory-scale solar thermal system to complement an existing commercial solar energy system on campus. The solar thermal system is designed specifically for educating engineers. This laboratory equipment, including a solar light simulator, allows for variation of operating parameters to investigate their impact on system performance. The equipment will be utilized in two courses: Applied Thermodynamics, and Renewable Energy Utilization. During the solar thermal laboratories performed in these courses, students conduct experiments based on the American Society of Heating, Refrigeration and Air-Conditioning Engineers (ASHRAE) 93-2010 standard for testing and performance characterization of solar thermal systems. Their measurements are then used to quantify energy output, efficiency and losses of the system and subsystem components.

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