Seite - 12 - in Joint Austrian Computer Vision and Robotics Workshop 2020

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