Automated detection of pavement boundaries is an important enabling technology in intelligent vehicle applications. This paper describes a circular shape model for detecting pavement boundaries and shows that the circular shape models enjoy several critical advantages over the polynomial models without any additional increase in model complexity including: the model parameters are all of the same units, even a small change to any one parameter results in a uniformly different shape appearance; and as a result the associated shape matching problem is considerably better conditioned than the corresponding problem with polynomial shape models. Our application domain is one of road/pavement boundary estimation based on image data from a high-resolution multibeam 77 GHz millimeter-wave radar. A successful solution to this problem has impact on a number of driver assistance systems, such as road departure warning, forward collision warning, etc.
Pavement boundary detection via circular shape models
01.01.2000
600892 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Pavement Boundary Detection Via Circular Shape Models
British Library Conference Proceedings | 2000
|Pavement boundary detection via circular shape models
Tema Archiv | 2000
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