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dc.contributor.authorMasaki, Ichiro
dc.contributor.authorFang, Yajun
dc.contributor.authorHorn, Berthold Klaus Paul
dc.date.accessioned2010-03-05T21:25:27Z
dc.date.available2010-03-05T21:25:27Z
dc.date.issued2009-07
dc.identifier.isbn978-1-4244-3503-6
dc.identifier.issn1931-0587
dc.identifier.urihttp://hdl.handle.net/1721.1/52361
dc.description.abstracthe time-to-contact (TTC) estimation is a simple and convenient way to detect approaching objects, potential danger, and to analyze surrounding environment. TTC can be estimated directly from single camera though neither distance nor speed information can be estimated with single cameras. Traditional TTC estimation depends on ldquointeresting feature pointsrdquo or object boundaries, which is noisy and time consuming. In, we propose a direct ldquogradient-basedrdquo method to compute time-to-contact in three special cases that avoid feature points/lines and can take advantages of all related pixels for better computation. In this follow-up paper, we discuss the method to deal with the most general cases and propose a hierarchical fusion framework for direct gradient-based time-to-contact estimation. The new method enhances accuracy, robustness and is computationally efficient, which is important to provide fast response for vehicle applications.en
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineersen
dc.relation.isversionofhttp://dx.doi.org/10.1109/IVS.2009.5164489en
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en
dc.sourceIEEEen
dc.titleHierarchical framework for direct gradient-based time-to-contact estimationen
dc.typeArticleen
dc.identifier.citationHorn, B.K.P., Yajun Fang, and I. Masaki. “Hierarchical framework for direct gradient-based time-to-contact estimation.” Intelligent Vehicles Symposium, 2009 IEEE. 2009. 1394-1400. © 2009 IEEEen
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Microsystems Technology Laboratoriesen_US
dc.contributor.departmentMassachusetts Institute of Technology. Intelligent Transportation Systems Laboratory
dc.contributor.approverHorn, Berthold Klaus Paul
dc.contributor.mitauthorMasaki, Ichiro
dc.contributor.mitauthorFang, Yajun
dc.contributor.mitauthorHorn, Berthold Klaus Paul
dc.relation.journal2009 IEEE Intelligent Vehicles Symposiumen
dc.eprint.versionFinal published versionen
dc.type.urihttp://purl.org/eprint/type/JournalArticleen
eprint.statushttp://purl.org/eprint/status/PeerRevieweden
dspace.orderedauthorsHorn, Berthold K.P.; Fang, Yajun; Masaki, Ichiroen
dc.identifier.orcidhttps://orcid.org/0000-0003-3434-391X
dc.identifier.orcidhttps://orcid.org/0000-0002-6657-5646
mit.licensePUBLISHER_POLICYen
mit.metadata.statusComplete


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