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M. Shuster (2006)
The generalized Wahba problemThe Journal of the Astronautical Sciences, 54
Zhang Rui (2007)
A Close-form Solution of Absolute Orientation Using Unit QuaternionsJournal of Zhengzhou Institute of Surveying and Mapping
F. Moosmann, C. Stiller (2011)
Velodyne SLAM2011 IEEE Intelligent Vehicles Symposium (IV)
H. Badino, Daniel Huber, Yongwoon Park, T. Kanade (2011)
Fast and accurate computation of surface normals from range images2011 IEEE International Conference on Robotics and Automation
G. Grisetti, C. Stachniss, Wolfram Burgard (2005)
Improving Grid-based SLAM with Rao-Blackwellized Particle Filters by Adaptive Proposals and Selective ResamplingProceedings of the 2005 IEEE International Conference on Robotics and Automation
P. Davenport (1968)
A vector approach to the algebra of rotations with applications
Renato Salas-Moreno, B. Glocker, P. Kelly, A. Davison (2014)
Dense planar SLAM2014 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)
D. Borrmann, J. Elseberg, K. Lingemann, A. Nüchter (2011)
The 3D Hough Transform for plane detection in point clouds: A review and a new accumulator design3D Research, 2
(2014)
Loam velodyne: A realtime method for state estimation and mapping using a 3d lidar
(2014)
nanoflann : AC + + header - only fork of FLANN , a library for nearest neighbor ( NN ) wih kd - trees
(2016)
Ceres solver
Richard Newcombe, S. Izadi, Otmar Hilliges, D. Molyneaux, David Kim, A. Davison, Pushmeet Kohli, J. Shotton, Steve Hodges, A. Fitzgibbon (2011)
KinectFusion: Real-time dense surface mapping and tracking2011 10th IEEE International Symposium on Mixed and Augmented Reality
F. Markley, D. Mortari (2000)
Quaternion Attitude Estimation Using Vector ObservationsJournal of The Astronautical Sciences, 48
F. Endres, Jürgen Hess, Nikolas Engelhard, Jürgen Sturm, D. Cremers, Wolfram Burgard (2012)
An evaluation of the RGB-D SLAM system2012 IEEE International Conference on Robotics and Automation
G. Grisetti, C. Stachniss, Wolfram Burgard (2007)
Improved Techniques for Grid Mapping With Rao-Blackwellized Particle FiltersIEEE Transactions on Robotics, 23
K. Pathak, A. Birk, N. Vaskevicius, M. Pfingsthorn, S. Schwertfeger, J. Poppinga (2010)
Online three‐dimensional SLAM by registration of large planar surface segments and closed‐form pose‐graph relaxationJournal of Field Robotics, 27
Peter Henry, Michael Krainin, E. Herbst, Xiaofeng Ren, D. Fox (2012)
RGB-D mapping: Using Kinect-style depth cameras for dense 3D modeling of indoor environmentsThe International Journal of Robotics Research, 31
(1999)
1999).Numerical optimization (Vol
S Wright, J Nocedal (1999)
Numerical optimization
W. Grant, Randolph Voorhies, L. Itti (2013)
Finding planes in LiDAR point clouds for real-time registration2013 IEEE/RSJ International Conference on Intelligent Robots and Systems
(2016)
Neuromorphic robotics toolkit
(2015)
M.S, and Ph.D. degrees all from the University of Southern California in 2006, 2009, and 2015 respectively. He is currently the CTO and co-founder of inVia
D. Hähnel, Wolfram Burgard, D. Fox, S. Thrun (2003)
An efficient fastSLAM algorithm for generating maps of large-scale cyclic environments from raw laser range measurementsProceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453), 1
(2014)
Qmethod extended kalman filter
C. Urmson, J. Bagnell, Christopher Baker, M. Hebert, A. Kelly, R. Rajkumar, P. Rybski, S. Scherer, R. Simmons, Sanjiv Singh, A. Stentz, W. Whittaker, Jason Ziglar, Darpa Team (2007)
Tartan Racing: A multi-modal approach to the DARPA Urban Challenge
Ji Zhang, Sanjiv Singh (2014)
LOAM: Lidar Odometry and Mapping in Real-time, 10
Jaewoong Choi, Junyoung Lee, Dongwook Kim, Giacomo Soprani, Pietro Cerri, A. Broggi, K. Yi (2012)
Environment-Detection-and-Mapping Algorithm for Autonomous Driving in Rural or Off-Road EnvironmentIEEE Transactions on Intelligent Transportation Systems, 13
Alexander Trevor, John Rogers, Henrik Christensen (2014)
OmniMapper: A modular multimodal mapping framework2014 IEEE International Conference on Robotics and Automation (ICRA)
Simone Ceriani, C. Sánchez, P. Taddei, E. Wolfart, V. Sequeira (2015)
Pose interpolation SLAM for large maps using moving 3D sensors2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
K. Pathak, A. Birk, N. Vaskevicius, J. Poppinga (2010)
Fast Registration Based on Noisy Planes With Unknown Correspondences for 3-D MappingIEEE Transactions on Robotics, 26
M. Shuster, S. Oh (1981)
Three-axis attitude determination from vector observationsJournal of Guidance Control and Dynamics, 4
R. Behringer, W. Travis, R. Daily, D. Bevly, W. Kubinger, W. Herzner, V. Fehlberg (2005)
RASCAL - an autonomous ground vehicle for desert driving in the DARPA Grand Challenge 2005Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.
J. Weingarten, R. Siegwart (2005)
EKF-based 3D SLAM for structured environment reconstruction2005 IEEE/RSJ International Conference on Intelligent Robots and Systems
A. Fitzgibbon (2003)
Robust Registration of 2D and 3D Point SetsImage Vis. Comput., 21
J. Weingarten, R. Siegwart (2006)
3D SLAM using planar segments2006 IEEE/RSJ International Conference on Intelligent Robots and Systems
Thomas Whelan, M. Kaess, M. Fallon, H. Johannsson, J. Leonard, J. McDonald (2012)
Kintinuous: Spatially Extended KinectFusion
M. Kaess, H. Johannsson, Richard Roberts, V. Ila, J. Leonard, F. Dellaert (2012)
iSAM2: Incremental smoothing and mapping using the Bayes treeThe International Journal of Robotics Research, 31
S. Umeyama (1991)
Least-Squares Estimation of Transformation Parameters Between Two Point PatternsIEEE Trans. Pattern Anal. Mach. Intell., 13
BK Horn (1987)
Closed-form solution of absolute orientation using unit quaternionsJOSA A, 4
(2016)
Ic3po data and source code
Aleksandr Segal, D. Hähnel, S. Thrun (2009)
Generalized-ICP
M. Kaess (2015)
Simultaneous localization and mapping with infinite planes2015 IEEE International Conference on Robotics and Automation (ICRA)
This paper develops and tests a plane based simultaneous localization and mapping algorithm capable of processing the uneven sampling density of Velodyne-style scanning LiDAR sensors in real-time. The algorithm uses an efficient plane detector to rapidly provide stable features, both for localization and as landmarks in a graph-based SLAM. When planes cannot be detected or when they provide insufficient support for localization, a novel constraint tracking algorithm selects a minimal set of supplemental point features to be provided to the localization solver. Several difficult indoor and outdoor datasets, totaling 6981 scans, each with $$\sim $$ ∼ 70,000 points, are used to analyze the performance of the algorithm without the aid of any additional sensors. The results are compared to two competing state-of-the-art algorithms, GICP and LOAM, showing up to an order of magnitude faster runtime and superior accuracy on all datasets, with loop closure errors of 0.14–0.95 m, compared to 0.44–66.11 m.
Autonomous Robots – Springer Journals
Published: Aug 9, 2018
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