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Sonar sensor interpretation for ecto...

Gao, Wen.

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Sonar sensor interpretation for ectogeneous robots.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Sonar sensor interpretation for ectogeneous robots./
作者:	Gao, Wen.
面頁冊數:	285 p.
附註:	Source: Dissertation Abstracts International, Volume: 66-04, Section: B, page: 2113.
Contained By:	Dissertation Abstracts International66-04B.
標題:	Physics, Acoustics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3172890
ISBN:	0542097826

Sonar sensor interpretation for ectogeneous robots.
Gao, Wen.

Sonar sensor interpretation for ectogeneous robots. - 285 p.

Source: Dissertation Abstracts International, Volume: 66-04, Section: B, page: 2113.

Thesis (Ph.D.)--The College of William and Mary, 2005.

We have developed four generations of sonar scanning systems to automatically interpret surrounding environment. The first two are stationary 3D air-coupled ultrasound scanning systems and the last two are packaged as sensor heads for mobile robots.

ISBN: 0542097826Subjects--Topical Terms:

1019086
Physics, Acoustics.

Sonar sensor interpretation for ectogeneous robots.
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245 1 0 $a Sonar sensor interpretation for ectogeneous robots.
300 $a 285 p.
500 $a Source: Dissertation Abstracts International, Volume: 66-04, Section: B, page: 2113.
500 $a Adviser: Mark Hinders.
502 $a Thesis (Ph.D.)--The College of William and Mary, 2005.
520 $a We have developed four generations of sonar scanning systems to automatically interpret surrounding environment. The first two are stationary 3D air-coupled ultrasound scanning systems and the last two are packaged as sensor heads for mobile robots.
520 $a Template matching analysis is applied to distinguish simple indoor objects. It is conducted by comparing the tested echo with the reference echoes. Important features are then extracted and drawn in the phase plane. The computer then analyzes them and gives the best choices of the tested echoes automatically.
520 $a For cylindrical objects outside, an algorithm has been presented to distinguish trees from smooth circular poles based on analysis of backscattered sonar echoes. The echo data is acquired by a mobile robot which has a 3D air-coupled ultrasound scanning system packaged as the sensor head. Four major steps are conducted. The final Average Asymmetry-Average Squared Euclidean Distance phase plane is segmented to tell a tree from a pole by the location of the data points for the objects interested.
520 $a For extended objects outside, we successfully distinguished seven objects in the campus by taking a sequence scans along each object, obtaining the corresponding backscatter vs. scan angle plots, forming deformable template matching, extracting interesting feature vectors and then categorizing them in a hyper-plane.
520 $a We have also successfully taught the robot to distinguish three pairs of objects outside. Multiple scans are conducted at different distances. A two-step feature extraction is conducted based on the amplitude vs. scan angle plots. The final Slope1 vs. Slope2 phase plane not only separates the rectangular objects from the corresponding cylindrical.
590 $a School code: 0261.
650 4 $a Physics, Acoustics. $3 1019086
650 4 $a Engineering, Mechanical. $3 783786
650 4 $a Artificial Intelligence. $3 769149
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710 2 0 $a The College of William and Mary. $3 1018629
773 0 $t Dissertation Abstracts International $g 66-04B.
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790 $a 0261
791 $a Ph.D.
792 $a 2005
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