Computer Controlled Car
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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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