Liu et al., 2014 - Google Patents
Obstacle recognition for ADAS using stereovision and snake modelsLiu et al., 2014
- Document ID
- 18196586583155164145
- Author
- Liu S
- Huang Y
- Zhang R
- Publication year
- Publication venue
- 17th International IEEE Conference on Intelligent Transportation Systems (ITSC)
External Links
Snippet
Advanced Driver Assistance Systems (ADAS) is progressing into urban traffics. Existing ADAS is concentrated on obstacle detection, mainly for pedestrian or vehicle. Limited work has been conducted on multi-class obstacle classification. It has been recognized that object …
- 241000270295 Serpentes 0 title description 17
Classifications
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- G06K9/3233—Determination of region of interest
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- G06K9/00791—Recognising scenes perceived from the perspective of a land vehicle, e.g. recognising lanes, obstacles or traffic signs on road scenes
- G06K9/00818—Recognising traffic signs
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