Airbag in the cars plays an important role for the safety of occupants. However, Highway traffic safety report shows that many occupants are actually killed by wrong deployment of the airbags. For reducing risk caused by airbag, designing a smart airbag is an important issue. The present study describes an occupants' pose classification system, by which triggering and intensity of the airbag deployment can be controlled. The system consists of a pair of stereo cameras and a SVM classifier. Performance of the system shows its feasibility as a vision-based airbag controller.
|Number of pages||7|
|Journal||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Publication status||Published - 2004|
ASJC Scopus subject areas
- Theoretical Computer Science
- Computer Science(all)