Image Processing Using Pearson's Correlation Coefficient: Applications On Autonomous Robotics

dc.creatorNeto A.M.
dc.creatorVictorino A.C.
dc.creatorFantoni I.
dc.creatorZampieri D.E.
dc.creatorFerreira J.V.
dc.creatorLima D.A.
dc.date2013
dc.date2015-06-25T19:13:56Z
dc.date2015-11-26T15:11:42Z
dc.date2015-06-25T19:13:56Z
dc.date2015-11-26T15:11:42Z
dc.date.accessioned2018-03-28T22:21:48Z
dc.date.available2018-03-28T22:21:48Z
dc.identifier9781479912476
dc.identifierProceedings Of The 2013 13th International Conference On Autonomous Robot Systems, Robotica 2013. Ieee Computer Society, v. , n. , p. - , 2013.
dc.identifier
dc.identifier10.1109/Robotica.2013.6623521
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84890887454&partnerID=40&md5=1f3ee75d381882624fa0e6e7243ab7a7
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/88994
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/88994
dc.identifier2-s2.0-84890887454
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1258206
dc.descriptionAutonomous robots have motivated researchers from different groups due to the challenge that it represents. Many applications for control of autonomous platform are being developed and one important aspect is the excess of information, frequently redundant, that imposes a great computational cost in data processing. Taking into account the temporal coherence between consecutive frames, we have proposed a set of tools based on Pearson's Correlation Coefficient (PCC): (i) a Discarding Criteria methodology was proposed and applied as (ii) a Dynamic Power Management solution; (iii) an environment observer method based on PCC selects automatically only the Regions-Of-Interest; and taking place in the obstacle avoidance context, (iv) a method for Collision Risk Estimation was proposed for vehicles in dynamic and unknown environments. Applying the PCC to these tasks has not been done yet, making the concepts unique. All these solutions have been evaluated from real data obtained by experimental vehicles. © 2013 IEEE.
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dc.descriptionIEEE,IEEE Portuguese Chapter,IEEE Robotics and Automation Society,Instituto Politecnico de Lisboa (IPL),SPR
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dc.descriptionhttp://www.youtube.com/watch?v=XaZndmMaieE, Jan. 31, 2013http://www.youtube.com/watch?v=VcUQVC1F8Xw, Jan. 31, 2013http://youtu.be/J8YuZlJFExk, Jan. 31, 2013
dc.languageen
dc.publisherIEEE Computer Society
dc.relationProceedings of the 2013 13th International Conference on Autonomous Robot Systems, ROBOTICA 2013
dc.rightsfechado
dc.sourceScopus
dc.titleImage Processing Using Pearson's Correlation Coefficient: Applications On Autonomous Robotics
dc.typeActas de congresos


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