Title :
Depth map characterization of RGB-D sensor for obstacle detection system
Author :
Xyza Vada Maree L. Rivera;Ruel Mark D. Cadubla;Jaymark M. Alemania;Raniel E. Valdellon;Rinzi Rae Q. Villanueva;Ryan Rhay P. Vicerra;Edison A. Roxas;Angelo R. Dela Cruz
Author_Institution :
Department of Electronics Engineering, University of Santo Tomas, Philippines
Abstract :
This paper presents a characterization of the depth map from an RGB-D sensor, Kinect 360, to be used as an input to an obstacle detection system. Since the accuracy, reliability and timeliness of the data are crucial in the system, there is a need to characterize it. Sensor repeatability tests are done to characterize the depth map. The mean and standard deviation of measured depths and mean error were computed to describe its detection accuracy and precision. Evident noises during tests were defined.
Keywords :
"Robot sensing systems","Standards","Measurement uncertainty","Conferences","Nanotechnology","Information technology","Imaging"
Conference_Titel :
Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM), 2015 International Conference on
DOI :
10.1109/HNICEM.2015.7393248
