Abstract
This paper surveys the different technologies involved in the development of computer vision applications for Intelligent Vehicles derived from the 15 year experience of VisLab. Some illustrative examples are also discussed.
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Bertozzi, M., Broggi, A., Conte, G., Fascioli, A.: The Experience of the ARGO Autonomous Vehicle. In: Procs. SPIE - Enhanced and Synthetic Vision 1998, Orlando, FL, vol. 3364, pp. 218–229 (April 1998)
Bertozzi, M., Broggi, A., Fascioli, A.: VisLab and the Evolution of Vision-Based UGVs. IEEE Computer 39(12), 31–38 (2006)
Braid, D., Broggi, A., Schmiedel, G.: The TerraMax Autonomous Vehicle concludes the 2005 DARPA Grand Challenge. In: Procs. IEEE Intelligent Vehicles Symposium 2006, Tokyo, Japan, pp. 534–539 (June 2006)
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Bertozzi, M. et al. (2007). Vision Technologies for Intelligent Vehicles. In: Apolloni, B., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2007. Lecture Notes in Computer Science(), vol 4692. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74819-9_87
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DOI: https://doi.org/10.1007/978-3-540-74819-9_87
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74817-5
Online ISBN: 978-3-540-74819-9
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