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dc.contributor.authorÇilingiroğlu, Uğuren_US
dc.contributor.authorChen, Sichengen_US
dc.contributor.authorÇilingiroğlu, Emreen_US
dc.date.accessioned2015-01-15T23:00:08Z
dc.date.available2015-01-15T23:00:08Z
dc.date.issued2004-02
dc.identifier.citationCilingiroglu, U., Chen, S., & Cilingiroglu, E. (2004). Range sensing with a scheimpflug camera and a CMOS sensor/processor chip. IEEE Sensors Journal, 4(1), 36-44. doi:10.1109/JSEN.2003.820368en_US
dc.identifier.issn1530-437X
dc.identifier.issn1558-1748
dc.identifier.urihttps://hdl.handle.net/11729/159
dc.identifier.urihttp://dx.doi.org/10.1109/JSEN.2003.820368
dc.description.abstractAn image-based range-sensing technique is presented. The technique is originally considered for highway collision avoidance applications, but its generality makes it suitable for application in robotics, manufacturing, and metrology, as well. It relies on depth from focus but, unlike conventional techniques, it extracts range with a single unmodulated Scheimpflug camera in continuous time. The range extraction algorithm is memoryless and simple enough to be implemented on the same chip with photosensors. The technique deploys a sensor plane that is tilted at a nonorthogonal angle with respect to the optical axis of the lens and the optical axis intersects the sensor plane at the focal point. This optical arrangement creates a focusable object plane in an orientation parallel to the optical axis and, thus, enables range sensing along the same axis. This paper elaborates on the details of focus sensing on the tilted sensor plane, describes the CMOS sensor/processor chip designed and prototyped for this application, and presents experimental results.en_US
dc.language.isoengen_US
dc.publisherIEEE-INST Electrical Electronics Engineers Incen_US
dc.relation.isversionof10.1109/JSEN.2003.820368
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFocusen_US
dc.subjectCMOS image sensorsen_US
dc.subjectCMOS processen_US
dc.subjectCamerasen_US
dc.subjectCollision avoidanceen_US
dc.subjectManufacturingen_US
dc.subjectOptical sensorsen_US
dc.subjectRoad transportationen_US
dc.subjectRobot sensing systemsen_US
dc.subjectRobot vision systemsen_US
dc.subjectSensor phenomena and characterizationen_US
dc.subjectCMOS processor chipen_US
dc.subjectCMOS sensor chipen_US
dc.subjectScheimpflug cameraen_US
dc.subjectHighway collision avoidance applicationsen_US
dc.subjectImage-based range-sensingen_US
dc.subjectMetrologyen_US
dc.subjectPhotosensorsen_US
dc.subjectRange extraction algorithmen_US
dc.subjectRoboticsen_US
dc.subjectSensor planeen_US
dc.subjectDigital signal processing chipsen_US
dc.subjectLaser rangingen_US
dc.subjectOptical sensorsen_US
dc.subjectRobot visionen_US
dc.subjectAlgorithmsen_US
dc.subjectCMOS integrated circuitsen_US
dc.subjectMathematical modelsen_US
dc.subjectMatrix algebraen_US
dc.subjectMicroprocessor chipsen_US
dc.subjectOptimizationen_US
dc.subjectProblem solvingen_US
dc.subjectRange findersen_US
dc.subjectReal time systemsen_US
dc.subjectSignal processingen_US
dc.subjectStereo visionen_US
dc.subjectCMOS sensorsen_US
dc.subjectProcessor chipsen_US
dc.subjectRange sensorsen_US
dc.subjectScheimpflug camerasen_US
dc.subjectChemical sensorsen_US
dc.titleRange sensing with a Scheimpflug camera and a CMOS sensor/processor chipen_US
dc.typearticleen_US
dc.description.versionPublisher's Versionen_US
dc.relation.journalIEEE Sensors Journalen_US
dc.contributor.departmentIşık Üniversitesi, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.contributor.departmentIşık University, Faculty of Engineering, Department of Electrical-Electronics Engineeringen_US
dc.identifier.volume4
dc.identifier.issue1
dc.identifier.startpage36
dc.identifier.endpage44
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.contributor.institutionauthorÇilingiroğlu, Emreen_US
dc.relation.indexWOSen_US
dc.relation.indexScopusen_US
dc.relation.indexScience Citation Index Expanded (SCI-EXPANDED)en_US
dc.description.qualityQ1
dc.description.wosidWOS:000188433600006


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