Published 2014-12-23
Keywords
- Computer Vision,
- mobile robotics,
- perception,
- navigation,
- reconstruction
- kinect,
- point cloud,
- potential fields ...More
How to Cite
Abstract
This paper presents the integration of a mobile robot with a vision system, which allows to a mobile agent to detect and avoid obstacles in its path. The vision system has the ability to present a 3D model of the local scene as a point clouds representation. The hardware integration is formed by an RGB-D inexpensive camera, a processing unit and a robotic platform. For visual perception, an algorithm for reduction 3D to 2D information similar to the information provided by range sensors was implemented in order to reduce response time and manipulation data for navigation algorithms. The whole system was tested in a controlled environment, overcoming various tests of navigation and obstacle avoidance. This work exploring the capabilities of RGB-D sensors in mobile robotics at Colombian Pacific region and is the first step of a research proposal aims to implement a solution to the problem of Simultaneous Localization and Mapping (SLAM).
Downloads
References
- BUI, T.; WIDYOTRIATMO, A.; LE HOA NGUYEN;
- KEUM-SHIK HONG. “Sonar-based collision
- avoidance and probabilistic motion model for mobile
- robot navigation,” Asian Control Conference, 2009.
- ASCC 2009. 7th, vol., no., pp.1462-1467, 27-29 Aug.
- QIAN, K; SONG, A. “Autonomous navigation for mobile
- robot based on a sonar ring and its implementation”,
- Instrumentation and Control Technology (ISICT), 2012
- th IEEE International Symposium on, vol., no., pp.47-
- , 11-13 July 2012.
- NÜCHTER, A; LINGEMANN, K; HERTZBERG, J;
- SURMANN, H. “6D SLAM—3D Mapping Outdoor
- Environments” Journal of Field Robotics, 2007.
- COLE, D.M.; NEWMAN, P.M. “Using laser range data
- for 3D SLAM in outdoor environments”, Robotics and
- Automation, 2006. ICRA 2006. Proceedings 2006 IEEE
- International Conference on, vol., no., pp.1556-1563,
- -19 May 2006
- DAVISON, A.J.; REID, I.D.; MOLTON, N.D.;
- STASSE, O. “MonoSLAM: Real-Time Single Camera
- SLAM.” Pattern Analysis and Machine Intelligence,
- IEEE Transactions on, vol.29, no.6, pp.1052-1067,
- June 2007.
- SEO-YEON HWANG; JAE-BOK SONG. “Monocular
- Vision-Based SLAM in Indoor Environment Using
- Corner, Lamp, and Door Features From Upward-
- Looking Camera”, Industrial Electronics, IEEE
- Transactions on , vol.58, no.10, pp.4804-4812, Oct.
- LEMAIRE, T; BERGER, C; JUNG, I; LACROIX,
- S. “Vision-Based SLAM: Stereo and Monocular
- Approaches”. International Journal of Computer
- Vision 74(3), 343–364, 2007. DOI: 10.1007/s11263-
- -0042-3
- VIEJO, D.; CARLOZA, M. “Construcción de Mapas
- D y Extracción de Primitivas Geométricas del
- Entorno”; 5th Workshop de Agentes Físicos; 2004
- CAÑAS, J., M.; LEON, O.; CALVO, R. “Reconstrucción
- D visual atentiva para la navegación de un robot
- móvil”. IX Workshop en Agentes Físicos, Vigo, pp 205-21, 2008.
- TRUCCO, E; VERRI, A. Introductory Techniques for
- -D Computer Vision. New Jersey. Prentice Hall, 1998.
- ALENYÀ, G.; ESCODA, J.; MARTÍNEZ, A. B.,
- TORRAZ, C. “Using Laser and Vision to Locate a Robot
- in an Industrial Environment: A Practical Experience”,
- Proceedings of the 2005 IEEE International Conference
- on Robotics and Automation Barcelona, pp 3528-3533,
- MORA AGUILAR, MARTHA C; ARMESTO ÁNGEL,
- LEOPOLDO; TORNERO MONSERRAT, JOSEP.
- “Sistema de navegación de robots móviles en entornos
- industriales”, XXV Jornada de Automática, Ciudad
- Real. 2004.
- WU, H., BAINBRIDGE-SMITH, A. “Advantages
- of using a Kinect Camera in various applications”.
- [Documento en línea]: [consulta: 15-3-2012].
- ROMERO MOLANO, C. A.; DÍAZ CELIS, C.
- A. “Navegación de robot móvil usando Kinect y
- OpenCV”, 3er Congreso Internacional de Ingeniería
- Mecatrónica, Universidad Autónoma de Bucaramanga,
- Bucaramanga, Colombia, Vol 2, No 1, 2011.
- RUIZ-SARMIENTO, J.R.; GALINDO, C.;
- GONZALEZ-JIMENEZ, J., BLANCO, J.L.
- “Navegación Reactiva de un Robot Móvil usando
- Kinect”, [Documento en línea]:
- [consulta: 15-3-2012].
- HUANG, A; BACHRACH, A. “Visual odometry
- and mapping for autonomous fight using an RGB-D
- camera”, International Symposium on Robotics
- Research (ISRR), 2011. [Documento en línea]: [consulta: 15-3-
- .
- HENRY, P.; KRAININ, M.; HERBST, E.; REN, X.;
- FOX, D. “RGB-D mapping: Using depth cameras for
- dense 3D modeling of indoor environments”. In Proc.
- of the Intl. Symp. on Experimental Robotics (ISER),
- Delhi, India, 2010. [Documento en línea]: [consulta: 15-3-2012].
- ENGELHARD, N.; ENDRES, F.; HESS, J.; STURM,
- J.; BURGARD, W. “Real-time 3D visual SLAM with a hand-held RGB-D camera”. 2011. [Documento en
- línea]: [consulta: 15-3-
- .
- SMISEK, J.; JANCOSEK, M.; PAJDLA, T. “3D
- with Kinect,” Computer Vision Workshops (ICCV
- Workshops), 2011 IEEE International Conference on,
- vol., no., pp.1154-1160, 6-13 Nov. 2011.
- OpenCV: Open Source Computer Vision [Web en
- línea]. [consulta: 15-3-2012].
- PCL: Point Cloud Library [Web en línea]. [consulta: 15-3-2012].
- Playe/Stage: The Player Project. [Web en línea].
- [consulta: 15-3-
- .
- MURRAY, D.J., LITTLE, J. “Using Real-Time Stereo
- Vision for Mobile Robot Navigation” Computer Vision and Pattern Recognition (CVPR’98). Santa Barbara
- CA. 1988
- CASTILLO, M. A., SAÉZ, J. M. “Modelo de Sonar
- de Largo Alcance Basado en Tecnología Estéreo”.
- thWorkshop de Agentes Físicos. 2003.
- HAMZAH, R.A.; RAHIM, R.A.; ROSLY, H.N. “Depth
- evaluation in selected region of disparity mapping for
- navigation of stereo vision mobile robot,” Industrial
- Electronics & Applications (ISIEA), 2010 IEEE
- Symposium on, vol., no., pp.551-555, 3-5 Oct. 2010.
- SUÁREZ, ANDRÉS; LOAIZA, HUMBERTO.
- “Navegación de un robot móvil por estereovisión”.
- Revista entre ciencia e ingeniería, Colombia, pp 9-23,
- DUDEK, G.; JENKIN, M. “Computational Principles
- of Mobile Robotics, 2da Edition, Cambridge University
- Press, 2010.