Author:
Mitsudome Ryohsuke, ,Date Hisashi,Suzuki Azumi,Tsubouchi Takashi,Ohya Akihisa
Abstract
In order for a robot to provide service in a real world environment, it has to navigate safely and recognize the surroundings. We have participated in Tsukuba Challenge to develop a robot with robust navigation and accurate object recognition capabilities. To achieve navigation, we have introduced the ROS packages, and the robot was able to navigate without major collisions throughout the challenge. For object recognition, we used both a laser scanner and camera to recognize a person in specific clothing, in real time and with high accuracy. In this paper, we evaluate the accuracy of recognition and discuss how it can be improved.
Publisher
Fuji Technology Press Ltd.
Subject
Electrical and Electronic Engineering,General Computer Science
Reference17 articles.
1. S. Akimoto, T. Takahashi, M. Suzuki, Y. Arai, and S. Aoyagi, “Human Detection by Fourier Descriptors and Fuzzy Color Histograms with Fuzzy c-Means Method,” J. of Robotics and Mechatronics, Vol.28, No.4, pp. 491-499, 2016.
2. M. Nomatsu, Y. Suganuma, Y. Yui, and Y. Uchimura, “Development of an Autonomous Mobile Robot with Self-Localization and Searching Target in a Real Environment,” J. of Robotics and Mechatronics, Vol.27, No.4, pp. 356-364, 2015.
3. J. Eguchi and K. Ozaki, “Development of the Autonomous Mobile Robot for Target-Searching in Urban Areas in the Tsukuba Challenge 2013,” J. of Robotics and Mechatronics, Vol.26, No.2, pp. 166-176, 2014.
4. A. Krizhevsky, I. Sutskever, and G. E. Hinton, “ImageNet Classification with Deep Convolutional Neural Networks,” Advances in Neural Information Processing Systems, Vol.25, pp. 1097-1105, 2015.
5. K. He, X. Zhang, S. Ren, and J. Sun, “Deep Residual Learning for Image Recognition,” The IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 770-778, 2016
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献