Object recognition using 2D sensors and autonomous vehicle navigation issues
By: Jader Gomes da Silva Filho
Publisher: Naval Postgraduate School; Available from National Technical Information Service
Published: 1997
Place of publication: Monterey, Calif; Springfield, Va
Language: eng
Number of pages: 91
Description: This research deals with the problem of extracting features from an image using wavelets and then using these features to recognize objects present in the image. This technique is applied to recognition of Unexploded Ordnance (UXO) objects. However, the concepts described here can be extended to recognition of other objects such as ships, missiles and aircraft. This work is performed as part of an ongoing effort to develop an autonomous vehicle capable of detecting UXOs.
Notes: "December 1997."

Thesis advisor(s): Yutaka J. Kanayama, Lynne L Grewe, Gurnam S. Gill.

Thesis (M.S. in Electrical Engineering and M.S. in Computer Science)--Naval Postgraduate School, December 1997.

Includes bibliographical references (p. 273-274).

Approved for public release; distribution unlimited.

Also available online.

Mode of access: World Wide Web.

System requirements: Adobe Acrobat reader.