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Joint Austrian Computer Vision and Robotics Workshop 2020
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national Conference on Intelligent Robots and Sys- tems. IEEE,Aug2005. [20] C. McCarthy, N. Barnes, and R. Mahony. A robust docking strategy for a mobile robot using flow field divergence. IEEE Transactions on Robotics, 24(4), Aug2008. [21] M.A.MehralianandM.Soryani. Ekfpnp: Extended kalman filter for camera pose estimation in a se- quenceofimages. arXivpreprintarXiv:1906.10324, 2019. [22] J. Moras, V. Cherfaoui, and P. Bonnifait. A lidar perceptionschemefor intelligentvehiclenavigation. In 2010 11th International Conference on Control Automation Robotics & Vision, pages 1809–1814. IEEE,2010. [23] M. Oberweger, P. Wohlhart, and V. Lepetit. Hands deep in deep learning for hand pose estimation. arXivpreprintarXiv:1502.06807, 2015. [24] G.Pavlakos,X.Zhou,A.Chan,K.G.Derpanis, and K. Daniilidis. 6-dof object pose from semantic key- points. In 2017 IEEE International Conference on RoboticsandAutomation (ICRA). IEEE,2017. [25] M. Persson and K. Nordberg. Lambda twist: an accurate fast robust perspective three point (p3p) solver. In Proceedings of the European Conference onComputer Vision.ECCV,2018. [26] S. Ren, K. He, R. B. Girshick, and J. Sun. Faster R- CNN:towardsreal-timeobjectdetectionwithregion proposalnetworks. CoRR, abs/1506.01497,2015. [27] F. J. Romero-Ramirez, R. Mun˜oz-Salinas, and R. Medina-Carnicer. Speeded up detection of squared fiducial markers. Image and vision Com- puting, 76,2018. [28] J. Ro¨weka¨mper, C. Sprunk, G. D. Tipaldi, C. Stach- niss, P. Pfaff, and W. Burgard. On the position ac- curacy of mobile robot localization based on parti- cle filters combined with scan matching. In 2012 IEEE/RSJ International Conference on Intelligent RobotsandSystems, pages3158–3164. IEEE,2012. [29] G. Schweighofer and A. Pinz. Globally optimal o (n) solution to the pnp problem for general camera models. InProceedingsof the2008BritishMachine VisionConference.BMVC,2008. [30] E. Shalnov and A. Konushin. Convolutional neural network for camera pose estimation from object de- tections. International Archives of the Photogram- metry, Remote Sensing & Spatial Information Sci- ences, 42,2017. [31] R. Siegwart, I. R. Nourbakhsh, and D. Scaramuzza. Autonomousmobile robots. MITpress, 2011. [32] S. Thrun, W. Burgard, and D. Fox. Probabilistic robotics. MITPress, 2002. [33] B. Triggs. Camera pose and calibration from 4 or 5 known 3d points. In Proceedings of the Seventh IEEEInternationalConferenceonComputerVision, volume1,pages 278–284. IEEE,1999. [34] E. Yurtsever, J. Lambert, A. Carballo, and K. Takeda. A survey of autonomous driving: Com- mon practices and emerging technologies. arXiv preprintarXiv:1906.05113, 2019. [35] X. Zhou, D. Wang, and P. Kra¨henbu¨hl. Objects as points. CoRR, abs/1904.07850,2019. 12
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Joint Austrian Computer Vision and Robotics Workshop 2020
Title
Joint Austrian Computer Vision and Robotics Workshop 2020
Editor
Graz University of Technology
Location
Graz
Date
2020
Language
English
License
CC BY 4.0
ISBN
978-3-85125-752-6
Size
21.0 x 29.7 cm
Pages
188
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Joint Austrian Computer Vision and Robotics Workshop 2020