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This paper describes a study concerning the impact of MMX technology in the field of automatic vehicle guidance. Due to the high speed a vehicle can reach, this application field requires a very precise real-time response. After a brief description of the ARGO autonomous vehicle, the paper focuses on the requirements of this kind of application: the use of only visual information, the use of...
This work presents a low-cost stereo vision system aimed to the real-time detection of generic obstacles (without constraints on symmetry or shape) on the path of a mobile road vehicle. Thanks to a geometrical transform the perspective effect is removed from both left and right stereo images. The difference between the results is used for the detection of free-space in front of the vehicle. The output...
The technological issues and legal considerations associated with fully automated vehicles have prompted the automotive industry to focus more on supervised systems and advanced driver assistance systems (ADAS). Transportation departments worldwide are concerned with social, economic, or environmental objectives aimed at enhancing fuel and road network efficiency and quality of life. Recently, the...
This paper discusses the main architectural issues of a challenging application of real-time image processing: the vision-based automatic guidance of road vehicles. Two algorithms for lane detection and obstacle localization, currently implemented on the ARGO autonomous vehicle developed at the University of Parma, are used as examples to compare two different computing engines — a massively parallel...
This paper discusses an extension to the inverse perspective mapping geometrical transform to the processing of stereo images and presents the calibration method used on the ARGO autonomous vehicle. The article features also an example of application in the automotive field in which the stereo inverse perspective mapping helps to speed up the process.
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