, High accuracy monocular sfm and 595 scale correction for autonomous driving Pattern Analysis and Machine In- 596 telligence, IEEE Transactions on, vol.38, issue.4, pp.730-743, 2016.
, Orb-slam: a versatile and accu- 598 rate monocular slam system Robotics Moving object detection 601 in spatial domain using background removal techniques-state-of-art, IEEE Transactions on, vol.31, issue.1 1, pp.599-1147, 2008.
, Improved adaptive gaussian mixture model for background sub- 604 traction, Pattern Recognition, Proceedings of the 17th International Con- 605 ference on, pp.28-31, 2004.
DOI : 10.1109/icpr.2004.1333992
URL : http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.1.4658&rep=rep1&type=pdf
, Multiple view geometry in computer vision
DOI : 10.1017/CBO9780511811685
, Moving object detection by 609 multi-view geometric techniques from a single camera mounted robot, p.610
, Realtime multibody visual slam 613 with a smoothly moving monocular camera, Computer Vision (ICCV), 614 IEEE International Conference on, pp.2080-2087, 2011.
, A unified approach to moving object detection in 616 2d and 3d scenes Pattern Analysis and Machine Intelligence, IEEE Trans- 617 actions on, vol.20, issue.6, pp.577-589, 1998.
, Global stereo matching leveraged by sparse ground 622 control points Con- 623 ference on Accurate and efficient stereo processing by semi-global 625 matching and mutual information Objects detection and 628 tracking using points cloud reconstructed from linear stereo vision Detection and tracking of indepen- 631 dently moving objects in urban environments, 619 complex scenes Computer Vision and Pattern Recognition (CVPR) Computer Vision and Pattern Recog- 626 nition Current 629 Advancements in Stereo Vision, pp.459-476, 2005.
, Sparse scene flow segmentation Moving objects detection and credal 649 boosting based recognition in urban environments Conference on On modeling ego-motion 652 uncertainty for moving object detection from a mobile platform Sparse scene flow segmentation 655 for moving object detection in urban environments, 13th International IEEE Conference on Cybernetics and Intel- 650 ligent Systems (CIS) Intelligent 653 Vehicles Symposium Proceedings Intelligent Vehicles 656 Symposium (IV) Learning OpenCV: Computer vision with the 658, pp.1396-1401, 2011.
, Efficient large-scale stereo matching 3d scene flow estimation with a piecewise 664 rigid scene model Stereoscan: Dense 3d reconstruction in 667 real-time Propagating covariance in computer vision Modelling uncertainty: A primer University of Oxford A quantitative evaluation of confidence measures for 673 stereo vision On the generalised distance in statistics Interactive graph cuts for optimal boundary 678 & region segmentation of objects in ND images Grabcut: Interactive foreground 681 extraction using iterated graph cuts Exact maximum a posteriori 684 estimation for binary images Real time obstacle detection in 687 stereovision on non flat road geometry through " v-disparity " representation UV-disparity: an efficient algorithm for stereovision 690 based scene analysis Seeded region growing Pattern Analysis and 692, Beyond pixels: exploring new representations and applications for 660 motion analysis Asian Conference on Computer Vision Intelligent Vehicles Symposium, IEEE Performance 669 Characterization in Computer Vision Proceedings of 676 the National Institute of Science of India Computer Vision. IEEE 679 International Conference on 688 in Intelligent Vehicle Symposium Intelligent Vehicles Symposium, pp.659-661, 1936.
, Putting objects in perspective Are we ready for autonomous driving? 697 the kitti vision benchmark suite Vision meets robotics: The 700, Machine Intelligence, IEEE Transactions on Computer Vision and Pattern Recogni- 698 tion, Conference on, pp.641-647, 2008.
, The pascal visual object classes (voc) challenge International journal of 703 computer vision Motion segmenta- 705 tion of multiple objects from a freely moving monocular camera Parallel image processing based on cuda, Robotics 706 and Automation, International Conference on, pp.701-303, 2010.