Computer vision based navigation systems —requirements and proposed system idea

• Autorzy: Morański M.
• Języki publikacji: EN

Abstrakty

EN

This article highlights the main challenges and constrains concerning computer vision based navigation systems. A few special conditions in which the systems have to work are pointed out. Different approaches to sense the surrounding environment are reviewed. Finally, the navigation system which incorporates two computer vision techniques: time of flight and stereovision is proposed.

Słowa kluczowe

EN

vision; navigation; depth estimation; distance measurements; obstacle detection; collision avoidance

• Wydawca: Foundation for Young Scientists
• Czasopismo: Challenges of Modern Technology
• Rocznik: 2011
• Tom: Vol. 2, no. 2
• Strony: 16--18
• Opis fizyczny: Bibliogr. 5 poz., rys.

Twórcy

autor

Morański M.

• Institute of Electronics, Technical University of Lodz

Bibliografia

• [1] Oggier T., et al. An all-solid-state optical range camera for 3D real-time imaging with sub-centimeter depth resolution. Zurich 2006.
• [2] Hussmann S., T. Ringbeck, and B. Hagebeuker. “A performance review of 3D TOF Vision Systems in Comparison to Stereo Vision Systems”. Chapter in book: Stereo vision. Viena 2008.
• [3] Witzner D., et al. “Cluster Tracking with Time-of-Flight Cameras”. Computer Vision Winter Workshop 2006.
• [4] Weingarten J.W., G. Gruener, and R. Siegwart. “A Stateof-the-Art. 3D Sensors for Robot Navigation”. Proceedings of 2004 IEEURSJ International Conference on Intelligent Robots and Systems.
• [5] Moranski M., and A. Materka. “Time-of -Flight versus stereovision in depth sensing applications: experimental study”. Elektronika, Konstrukcje, Technologie, Zastosowania 3 (2010).