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Détection d'Obstacles dans une Séquence d'Images de Rétrovision par Analyse du Mouvement
| Content Provider | Semantic Scholar |
|---|---|
| Author | Yang, Rong Ambellouis, Sebastien Cabestaing, François |
| Copyright Year | 1997 |
| Abstract | In this paper, we present an obstacle detection framework which aims at avoiding collisions during overtaking on a highway. Potential obstacles are detected by a vision system which processes the images given by a video camera installed near the left lateral rearview mirror of the car. Images of the sequence are resampled, following an adaptative model of the road geometry. Then a motion analysis step allows an efficient discrimination between dangerous and non dangerous potential obstacles. Motion estimation is carried out by a Time Delayed Neural Network (TDNN). |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://documents.irevues.inist.fr/bitstream/handle/2042/12761/228_428.pdf?sequence=1 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |