Depth Map Characterization of RGB-D Sensor for Obstacle Detection System

被引：0

作者：

Rivera, Xyza Vada Maree L. ^{[1
]}

Cadubla, Ruel Mark D. ^{[1
]}

Alemania, Jaymark M. ^{[1
]}

Valdellon, Raniel E. ^{[1
]}

Villanueva, Rinzi Rae Q. ^{[1
]}

Vicerra, Ryan Rhay P. ^{[1
]}

Roxas, Edison A. ^{[1
]}

Dela Cruz, Angelo R. ^{[1
]}

机构：

[1] Univ Santo Tomas, Dept Elect Engn, Manila, Philippines

来源：

2015 INTERNATIONAL CONFERENCE ON HUMANOID, NANOTECHNOLOGY, INFORMATION TECHNOLOGY,COMMUNICATION AND CONTROL, ENVIRONMENT AND MANAGEMENT (HNICEM) | 2015年

关键词：

Kinect; 360; noise characterization; depth map; holes; accuracy; spatial noise; temporal noise;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：549 / +

页数：5