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Selected Important Papers
The Following papers are thos that have a significant bearing on this
project and will give a beginner a good introduction into many of the
concepts used in this project.
Tim Bruton's Thesis - The very first CCC (using this configuration)
Daniel Tung's Thesis - Follow up work in 2000
RALPH: Rapidly Adapting Lateral Position Handler - A useful navigation tool
Estimation and Inference by compact coding - Wallace & Freeman '87
CMVision Paper from IROS2000 - A fast color segmentation tool
Complete Bibliography
Balakrishna, S. (2000). Pthreads.
http://www.coe.neu.edu/ signoril/op sys/pthreads1.html, Last Accessed:
(2/7/2002).
Bertozzi, M. and Broggi, A. (1998). GOLD: A parallel real-time stereo vision
system for generic obstacle and lane detection, Image processing.
Broggi, A. (1995a). A massively parallel approach to real-time vision-based road
markings detection, Proceedings ICIP Second IEEE International
Conference on Image Processing, pp. 532535. Washington DC.
Broggi, A. (1995b). Vision-based road detection in automotive systems: A
real-time expectation-driven approach, Journal of Artificial Intelligence
Research 3 pp. 325348.
Broggi, A. (1996). The evolution of a massively parallel vision system for
real-time automotive image processing, Proceedings IEEE IPPS'96 -
International Parallel Processing Symposium, pp. 724728. Honolulu, HI.
Broggi, A., Bertozzi, M. and Fascioli, A. (1999a). The 2000km test of the ARGO
vision-based autonomous vehicle, IEEE Intelligent Systems.
Broggi, A., Bertozzi, M., Fascioli, A. and Conti, G. (1999b). Automatic vehicle
guidance: Experience of the ARGO autonomous vehicle, World Scientific.
Bruce, J., Balch, T. and Veloso, M. (2000). Fast and inexpensive color image
segmentation for interactive robots, Proceedings of IROS-2000.
Bruton, T. (1999). Computer controlled model car. Monash University, CSSE.
Honours Thesis
http://www.csse.monash.edu.au/hons/projects/1999/Tim.Bruton Last
Acessed: (30/4/02).
Buschmann, F., Meunier, R., Rohnert, H., Sommerlad, P. and Stal, M. (1996).
Pattern-Oriented Software Architecture: A System of Patterns, Wiley,
chapter Pipes and Filters.
Corbet, J. and Packard, K. (1991). MIT-SHM The MIT shared memory
extension. http://pantransit.reptiles.org/prog/mit-shm.html Last Accessed:
(1/11/2002).
Dickmanns, E., Behringer, R., Hildebrandt, D., Maurer, M., Thomanek, F. and
Schiehlen, J. (1994). The seeing passenger car 'VaMoRs-P', Proceedings of
the IEEE Symposium on intelligent vehicles, pp. 6873. Paris.
Duggins, D., McNeil, S., Mertz, C., Thorpe, C. and Yata, T. (2001). Side
collision warning systems for transit buses: Functional goals, Technical
Report CMU-RI-TR-01-11, Carnegie Mellon University.
Franke, U. and Gavrilla, D. (1999). Autonomous driving goes downtown, IEEE
Intelligent Systems.
Gilbert, D. (2001). Magneto-resistive wheel speed sensors, AutoInc Magazine.
Graefe, V. and Kuhnert, K. (1991). Vision based autonomous road vehicles,
Vision based vehicle guidance pp. 129.
Horn, B. K. P. and Schunck, B. G. (1981). Determining optical flow, Artificial
Intelligence 17: 185203.
Jochem, T., Pomerleau, D. and Thorpe, C. (1993). MANIAC: A next generation
neurally based autonomous road follower, Proceedings of the International
Conference on Intelligent Autonomous Systems.
Kluge, K. and Thorpe, C. E. (1990). Vision and navigation: The Carnegie
Mellon NAVLAB, Kluwer Academic Publishers, chapter Explicit models for
robot road following, pp. 2538.
Law, L. (1998). Magnetic sensors and timing applications, Sensors Magazine.
Martin, M. (1998). Breaking out of the black box: A new approach to robot
perception. Doctoral dissertation, Carnegie Mellon University
http://www.ri.cmu.edu/pub files/pub2/martin martin c 1998 1/
martin martin c 1998 1.pdf Last Accessed: (31/7/2002).
Matthies, L. (2000). A portable, autonomous, urban reconnaissance robot, 6th
international conference on intelligent autonomous systems.
Muys, A. (2000). Pthread tutorial.
http://www.cs.nmsu.edu/ jcook/Tools/pthreads/pthreads.html , Last
Accessed: (2/7/2002).
Navarro-Serment, L., Grabowski, R., Paredis, C. and Kholsa, P. (1999).
Modularity in small distributed robots, Proceedings of the SPIE conference
on Sensor Fusion and Decentralized Control in Robotic Systems II.
Pomerleau, D. (1992). Progress in neural network-based vision for autonomous
robot driving, Proceedings of the 1992 Intelligent Vehicles Conference,
pp. 391396.
Pomerleau, D. (1995). RALPH: Rapidly adapting lateral position handler, IEEE
symposium on intelligent vehicles, pp. 506511.
Quenot, G., Pakleza, J. and Kowalewski, T. (1997). Experiments in fluids,
Springer-Verlag, chapter Particle image velocimetry with optical flow,
pp. 177189.
Richardson, J., Ward, N., Fairclough, S. and Graham, R. (1996).
Prometheus/drive aicc safety assessment: Basic simulator. DoT Vehicle
Standards and Engineering Division Contract DPU 9/81/1 , HUSAT
Research Institute, UK.
Robbins, D. (2000). Posix threads explained.
http://www-106.ibm.com/developerworks/library/posix1.html, Last
Accessed: (18/9/2002).
Thorpe, C. and Herbert, M. (1997). Intelligent unmanned ground vehicles,
Kluwer Academic Publishers.
Thorpe, C., Duggins, D., Gowdy, J., MacLachlan, R., Mertz, C., Siegel, M.,
Suppe, A., Wang, C., and Yata, T. (2002). Driving in traffic: Short-range
sensing for urban collision avoidance, Proceedings of SPIE: Unmanned
Ground Vehicle Technology IV, Vol. 4715.
Tribe, R. (1996). Advanced robotics and intelligent machines, The Institution of
Electrical Engineers, chapter Intelligent autonomous systems for cars,
pp. 165176.
Tung, D. (2000). Computer controlled model car. Monash University, CSSE.
Honours Thesis
http://www.csse.monash.edu.au/hons/projects/2000/Daniel.Tung Last
Acessed: (30/4/02).
Wallace, C. and Boulton, D. (1968). An information measure for classification,
Computer Journal 11(2): 185194.
Wallace, C. and Freeman, P. (1987). Estimation and inference by compact
coding, J. R. Statist. Soc. B 49(3): 240265.
Wang, C. and Thorpe, C. (2002). Simultaneous localization and mapping with
detection and tracking of moving objects, IEEE International Conference
on Robotics and Automation.
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