Image recognition technology is delivering significant safety advantages as part of Advanced Driver Assistance Systems (ADAS). From lane departure warning to pedestrian and small object detection, the technology is enabling car manufacturers to meet the requirements of current and future regulations specified by the European New Car Assessment Program (Euro NCAP).

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• How traditional approaches to image recognition will struggle to efficiently meet the strict new regulations imposed under Euro NCAP
• How the Co-occurrence Histogram of Oriented Gradients (CoHOG) approach enables highly reliable pedestrian detection within an embedded power budget suitable for use in ADAS
• How Toshiba’s latest image-recognition processor architecture reduces power consumption while increasing human detection speeds by 50x compared to conventional processors running at 1GHz.
• How new architectures and algorithms enable ADAS systems to deal effectively with objects that are not recognisable for the stored image library.

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