Ground plane obstacle detection from optical flow anomalies: a robust and efficient implementation

Autor:	S. Masciangelo, M. Ilic, E. Pianigiani
Rok vydání:	2005
Předmět:	Monocular business.industry Computer science Optical flow Physics::Optics Mobile robot Robotics Physics::Fluid Dynamics Obstacle Calibration Point (geometry) Computer vision Artificial intelligence business Ground plane
Zdroj:	Proceedings of the Intelligent Vehicles '94 Symposium.
DOI:	10.1109/ivs.1994.639539
Popis:	This paper presents a monocular ground plane obstacle detection method using optical flow anomalies. The optical flow is computed on a single image row and compared to a model for ground point optical flow obtained by a direct calibration. Reflections and optical flow ambiguities are detected.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::44ad5a815c08cb26df062de1cbe88901 https://doi.org/10.1109/ivs.1994.639539 Zobrazit plný text záznamu