NRI: Small: A Co-Robotic Navigation Aid for the Visually Impaired
NRI: Small: A Co-Robotic Navigation Aid for the Visually Impaired
批准号:
8650411
负责人:
Cang Ye
金额:
$16.27万
依托单位国家:
美国
项目类别:
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-09-01 至 2016-08-31
关键词:
AddressCanesCommunitiesComputer Vision SystemsDetectionDevelopmentDevicesEngineeringEnvironmentFutureHealthcareHumanLaw EnforcementMethodsMilitary PersonnelMissionModelingNational Institute of Biomedical Imaging and BioengineeringPattern RecognitionPositioning AttributePublic HealthQuality of lifeRecruitment ActivityRehabilitation therapyResearchResearch InfrastructureRobotRoboticsScienceSolutionsStructureStudentsTechnologyTimeTrainingTravelUniversitiesVisualVisual impairmentbaseblindcareergraduate studenthigh schoolimprovedinnovationnavigation aidobject recognitionprogramspublic health relevancerehabilitation engineeringrobotic deviceundergraduate studentway finding
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): The project's objective is to develop enabling technology for a co-robotic navigation aid, called a Co-Robotic Cane (CRC), for the visually impaired. The CRC is able to collaborate with its user via intuitive Human-Device Interaction (HDl) mechanisms for effective navigation in 3D environments. The CRCs navigational functions include device position estimation, wayfinding, obstacle detection/avoidance, and object recognition. The use of the CRC will improve the visually impaired's independent mobility and thus their quality of life. The proposal's educational plan is to involve graduate, undergraduate and high school students in the project, and use the project's activities to recruit and retain engineering students. The proposal's Intellectual Merit is the development of new computer vision methods that support accurate blind navigation in 3D environments and intuitive HDl interfaces for effective use of device. These methods include: (1) a new robotic pose estimation method that provides accurate device pose by integrating egomotion estimation and visual feature tracking; (2) a pattern recognition method based on the Gaussian Mixture Model that may recognize indoor structures and objects for wayfinding and obstacle manipulation/ avoidance; (3) an innovative mechanism for intuitive conveying of the desired travel direction; and (4) a human intent detection interface for automatic device mode switching. The GPU implementation of the computer vision methods will make real-time execution possible. The proposed blind navigation solution will endow the CRC with advanced navigational functions that are currently unavailable in the existing blind navigation aids. The PI's team has performed proof of concept studies for the computer vision methods and the results are promising. The broader impacts include: (1) the methods' near term applications will impact the large visually impaired community; (2) the methods will improve the autonomy of small robots and portable robotic devices that have a myriad of applications in military surveillance, law enforcement, and search and rescue; and (3) the project will improve the research infrastructure of the Pi's university and train graduate and undergraduate students for their future careers in science and engineering.
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NRI: Small: A Co-Robotic Navigation Aid for the Visually Impaired
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批准号:9620203
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项目类别:
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资助金额:$10.63万
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财政年份:2013
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负责人:Cang Ye
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依托单位:
NRI: Small: A Co-Robotic Navigation Aid for the Visually Impaired
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批准号:8704450
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项目类别:
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资助金额:$10.34万
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财政年份:2013
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负责人:Cang Ye
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依托单位:
NRI: Small: A Co-Robotic Navigation Aid for the Visually Impaired
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批准号:9336584
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项目类别:
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资助金额:$2.8万
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财政年份:2013
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负责人:Cang Ye
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依托单位:
海外基金