Real-time spatial modeling to detect and track resources on construction sites

[1]  Ioannis Stamos,et al.  3{D Model Construction Using Range and Image Data (Submitted to CVPR 2000) , 2000 .

[2]  Carlos H. Caldas,et al.  Experiments in real-time spatial data acquisition for obstacle detection , 2005 .

[3]  Anil K. Jain,et al.  Algorithms for Clustering Data , 1988 .

[4]  Dmitry B. Goldgof,et al.  Egomotion estimation of a range camera using the space envelope , 2003, IEEE Trans. Syst. Man Cybern. Part B.

[5]  Åsa Persson,et al.  Identifying species of individual trees using airborne laser scanner , 2004 .

[6]  Michael Richter,et al.  Novel pixel architecture with inherent background suppression for 3D time-of-flight imaging , 2005 .

[7]  Thierry Oggier,et al.  CCD / CMOS Lock-In Pixel for Range Imaging : Challenges , Limitations and State-ofthe-Art , 2005 .

[8]  Jack Sanders-Reed,et al.  Image-based motion analysis , 2006 .

[9]  Jake K. Aggarwal,et al.  Using Structure in Content-Based Image Retrieval , 1999, SIP.

[10]  Alan M. Lytle,et al.  Towards an Intelligent Job Site: Status of the NIST Automated Steel Construction Test Bed , 2003 .

[11]  William C. Stone,et al.  Non-Intrusive Scanning Technology for Construction Assessment , 1999 .

[12]  Martial Hebert,et al.  A system for semi-automatic modeling of complex environments , 1997, Proceedings. International Conference on Recent Advances in 3-D Digital Imaging and Modeling (Cat. No.97TB100134).

[13]  Paul J. Besl,et al.  A Method for Registration of 3-D Shapes , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[14]  R. A. Silverman,et al.  Wave Propagation in a Turbulent Medium , 1961 .

[15]  Michael Lehmann,et al.  An all-solid-state optical range camera for 3D real-time imaging with sub-centimeter depth resolution (SwissRanger) , 2004, SPIE Optical Systems Design.

[16]  Carl T. Haas,et al.  Automation in infrastructure construction , 2002 .

[17]  Valerio Pascucci,et al.  Visualization of large terrains made easy , 2001, Proceedings Visualization, 2001. VIS '01..

[18]  Roland Siegwart,et al.  A state-of-the-art 3D sensor for robot navigation , 2004 .

[19]  William Ribarsky,et al.  Real-time, continuous level of detail rendering of height fields , 1996, SIGGRAPH.

[20]  Gérard G. Medioni,et al.  Object modeling by registration of multiple range images , 1991, Proceedings. 1991 IEEE International Conference on Robotics and Automation.

[21]  Valerie Guralnik,et al.  A scalable algorithm for clustering protein sequences , 2001, BIOKDD.

[22]  Robert Lange,et al.  3D time-of-flight distance measurement with custom solid-state image sensors in CMOS/CCD-technology , 2006 .

[23]  Hans P. Moravec.  Robot spatial perception by stereoscopic vision and 3D evidence grids , 1996 .

[24]  Soon-Wook Kwon,et al.  Fitting range data to primitives for rapid local 3D modeling using sparse range point clouds , 2004 .

[25]  Kamel S. Saidi,et al.  Performance Evaluation of a High-Frame Rate 3D Range Sensor for Construction Applications , 2005 .

[26]  Frédéric Bosché,et al.  Rapid human-assisted, obstacle avoidance system using sparse range point clouds , 2004 .

[27]  George Vosselman,et al.  Experimental comparison of filter algorithms for bare-Earth extraction from airborne laser scanning point clouds , 2004 .

[28]  Harry Shum,et al.  Virtual reality modeling from a sequence of range images , 1994, Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'94).

[29]  Hugues Hoppe.  Smooth view-dependent level-of-detail control and its application to terrain rendering , 1998 .

[30]  Paul J. Besl,et al.  Active, optical range imaging sensors , 1988, Machine Vision and Applications.

[31]  Anil K. Jain,et al.  Data clustering: a review , 1999, CSUR.

[32]  Jake K. Aggarwal,et al.  Model-based object recognition in dense-range images—a review , 1993, CSUR.

[33]  Supun Samarasekera,et al.  Automatic registration and visualization of occluded targets using ladar data , 2003, SPIE Defense + Commercial Sensing.

[34]  Mark A. Duchaineau,et al.  ROAMing terrain: Real-time Optimally Adapting Meshes , 1997, Proceedings. Visualization '97 (Cat. No. 97CB36155).

[35]  Jung Hong Chuang.  Level of Detail for 3D Graphics , 2002 .

[36]  Carlos H. Caldas,et al.  Framework for Real-Time Three-Dimensional Modeling of Infrastructure , 2005 .

[37]  Songtao. Huang.  Algorithms for motion estimation. , 2003 .

[38]  Philip W. Smith,et al.  Stereo-based registration of range and projective imagery for data fusion and visualization , 2001 .

[39]  Carl T. Haas,et al.  A model for automation of infrastructure maintenance using representational forms , 2000 .

[40]  B. Bouma,et al.  Handbook of Optical Coherence Tomography , 2001 .

[41]  Sebastian Thrun,et al.  Online simultaneous localization and mapping with detection and tracking of moving objects: theory and results from a ground vehicle in crowded urban areas , 2003, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422).

[42]  Carlos H. Caldas,et al.  Real-time three-dimensional object detection and tracking in transportation , 2006 .

[43]  Mark Billinghurst,et al.  The use of dense stereo range data in augmented reality , 2002, Proceedings. International Symposium on Mixed and Augmented Reality.

[44]  Roland Siegwart,et al.  Laser Range Imaging using Mobile Robots: From Pose Estimation to 3d-Models , 2005 .

[45]  Wolfram Burgard,et al.  A real-time algorithm for mobile robot mapping with applications to multi-robot and 3D mapping , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).

[46]  S. V. Sreenivasan,et al.  Rapid Human-Assisted Creation of Bounding Models for Obstacle Avoidance in Construction , 2004 .

[47]  Gerd Häusler,et al.  Processing range data for reverse engineering and virtual reality , 2001, Proceedings Third International Conference on 3-D Digital Imaging and Modeling.

[48]  Claus Brenner,et al.  Extraction of buildings and trees in urban environments , 1999 .

[49]  Hans P. Moravec,et al.  High resolution maps from wide angle sonar , 1985, Proceedings. 1985 IEEE International Conference on Robotics and Automation.

[50]  Xinhua Zhuang,et al.  Pose estimation from corresponding point data , 1989, IEEE Trans. Syst. Man Cybern..

[51]  Wolfram Burgard,et al.  Learning compact 3D models of indoor and outdoor environments with a mobile robot , 2003, Robotics Auton. Syst..

[52]  ZuWhan Kim,et al.  MULTI-VIEW 3-D OBJECT DESCRIPTION WITH UNCERTAIN REASONING AND MACHINE LEARNING , 2001 .

[53]  Bernd Jähne,et al.  Computer vision and applications: a guide for students and practitioners , 2000 .

[54]  Don Ray Murray,et al.  Using Real-Time Stereo Vision for Mobile Robot Navigation , 2000, Auton. Robots.

[55]  J. K. Aggarwal,et al.  Tracking and recognizing two-person interactions in outdoor image sequences , 2001, Proceedings 2001 IEEE Workshop on Multi-Object Tracking.

[56]  Joachim Hertzberg,et al.  An autonomous mobile robot with a 3D laser range finder for 3D exploration and digitalization of indoor environments , 2003, Robotics Auton. Syst..

[57]  Hans-Peter Seidel,et al.  Real-time generation of continuous levels of detail for height fields , 1998 .

[58]  R. Lange,et al.  Solid-state time-of-flight range camera , 2001 .

[59]  Enrico Puppo,et al.  Variable resolution triangulations , 1998, Comput. Geom..

[60]  Sanjiv Singh,et al.  Obstacle detection for high speed autonomous navigation , 1991, Proceedings. 1991 IEEE International Conference on Robotics and Automation.

[61]  Urs Hirschberg,et al.  CAAD Meets Digital Photogrammetry: Modeling "Weak Forms" for Computer Measurement , 1996, Proceedings of the 15th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA).