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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Pacheco, L. Batlle, J. Cufi, X. |
| Copyright Year | 1994 |
| Description | Author affiliation: Dept. of Ind. Eng., Girona Univ., Spain (Pacheco, L.; Batlle, J.; Cufi, X.) |
| Abstract | The automatic interpretation of conventional traffic signs is very complex and time consuming. The paper concerns an automatic warning system for driving assistance. It does not interpret the standard traffic signs on the roadside; the proposal is to incorporate into the existing signs another type of traffic sign whose information will be more easily interpreted by a processor. The type of information to be added is profuse and therefore the most important object is the robustness of the system. The basic proposal of this new philosophy is that the co-pilot system for automatic warning and driving assistance can interpret with greater ease the information contained in the new sign, whilst the human driver only has to interpret the "classic" sign. One of the codings that has been tested with good results and which seems to us easy to implement is that which has a rectangular shape and 4 vertical bars of different colours. The size of these signs is equivalent to the size of the conventional signs (approximately 0.4 m/sup 2/). The colour information from the sign can be easily interpreted by the proposed processor and the interpretation is much easier and quicker than the information shown by the pictographs of the classic signs. |
| Starting Page | 339 |
| Ending Page | 344 |
| File Size | 554702 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780321359 |
| DOI | 10.1109/IVS.1994.639540 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1994-10-24 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Object detection Vehicle detection Image edge detection Road vehicles Shape Robustness Vehicle driving Alarm systems Cameras Color |
| Content Type | Text |
| Resource Type | Article |
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