3D object categorization using 2D reflectance image for robot map construction
| Project/Area Number |
24656173
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Single-year Grants |
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| Research Field |
Intelligent mechanics/Mechanical systems
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| Research Institution | Kyushu University |
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Principal Investigator |
KURAZUME Ryo 九州大学, システム情報科学研究科(研究院, 教授 (70272672)
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| Project Period (FY) |
2012-04-01 – 2014-03-31
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| Project Status |
Completed (Fiscal Year 2013)
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| Budget Amount *help |
¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
Fiscal Year 2013: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2012: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
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| Keywords | 知能ロボティクス / レーザ計測 / 環境認識 / モデリング / 知能機械 |
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| Research Abstract |
In this research, we developed an accurate object categorization technique using 2D reflectance image and 3D shape information taken by a laser scanner. A laser scanner is widely used to capture shapes of objects for many applications. From a laser scanner, we can obtain not only range data but also laser reflectance which shows the power of reflected laser as a side product of range measurement. The developed technique utilizes both information for object categorization simultaneously. To develop this system, we conducted 1) development of vehicle laser scanning system and verification of usefulness of laser reflectance, 2) development of small-size database, 3) categorization experiment using small-size database, and 4) development of city-size database and categorization experiment. In addition, we developed 3D HOG by combining HOG extracted from reflectance information and HONV obtained from range information and verified the performance of 3D HOG by outdoor experiments.
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Report
(3 results)
Research Products
(18 results)
