Architectural Issues on Vision-Based Automatic Vehicle Guidance: The Experience of the ARGO Project
نویسندگان
چکیده
T his 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 dierent computing engines Ð a massively parallel special-purpose SIMD architecture and a general-purpose system Ð while future trends in this ®eld are proposed, based on the experience of the ARGO project.
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ورودعنوان ژورنال:
- Real-Time Imaging
دوره 6 شماره
صفحات -
تاریخ انتشار 2000