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Automatic Extraction of Urban Features from Terrestrial LIDAR Systems

Award Information

Agency:
Department of Defense
Branch:
Army
Award ID:
73990
Program Year/Program:
2006 / SBIR
Agency Tracking Number:
A052-121-2622
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Visual Learning Systems, Inc.
1719 Dearborn Avenue Missoula, MT 59801-2391
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 2006
Title: Automatic Extraction of Urban Features from Terrestrial LIDAR Systems
Agency / Branch: DOD / ARMY
Contract: W9132V-06-C-0020
Award Amount: $730,000.00
 

Abstract:

The U.S. Army requires automated feature extraction (AFE) software to collect 3D urban features from terrestrial LIDAR data in a timely and cost-effective manner to support the ground-based Warfighter operating in the urban battlespace. Vehicle-mounted terrestrial LIDAR systems have the capability to capture very-accurate 3D measurements of the urban environment with spatial resolutions on the order of 5 centimeters or less. The 3D imaging capability of these collection systems is negated, however, by a lack of commercial software tools capable of exploiting terrestrial LIDAR datasets with a high degree of automation. Current approaches for creating high-resolution 3D urban models are expensive, requiring thousands of man-hours to digitize feature geometries, assign textures to features, and then attribute features. Visual Learning Systems, Inc. has developed a unique capability to automatically extract 3D urban features from terrestrial LIDAR data including building facades, doors, windows, poles, trees, vehicles and other urban features of interest. The proposed Ground-Based 3D Urban Modeling Toolkit, designed as a plug-in for VLS' Feature Analyst and LIDAR Analyst software, provides the Army with a comprehensive and automated 3D feature extraction solution for urban environments.

Principal Investigator:

Stuart Blundell
COO
4068291384
sblundell@vls-inc.com

Business Contact:

David Opitz
President
4068291384
opitz@vls-inc.com
Small Business Information at Submission:

VISUAL LEARNING SYSTEMS, INC.
P.O. Box 8226 Missoula, MT 59807

EIN/Tax ID: 810529309
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No