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How 3D reconstruction for enhanced object recognition improves road safety

The breadth of camera and image processing hardware and supporting software incorporated into car models is increasing dramatically. Market research firm Yole, for example, predict that the market for automotive cameras alone will be worth at least $7 billion annually by the end of this decade. Such technology offers real opportunities for reducing the number of accidents on our roads and minimising the risk of driver error through more effective automated response mechanisms.

Because it enables ultra-fast object recognition capabilities, 3-dimensional (3D) reconstruction can help to improve the reaction times of a vehicle’s advanced driver assistance system (ADAS). A key advantage of this approach is that data emanating from a smaller region of interest (RoI) can be analysed and processed. This allows the position, height and width of obstacles that would not typically be detected via conventional pattern recognition techniques to be determined, and appropriate actions taken. Through the use of advanced imaging algorithms, 3D estimation data can now be rapidly compiled on both static and moving objects. Sophisticated imaging systems employing such technology are already under development with several leading automobile manufacturers.

Toshiba has developed a comprehensive white paper that discusses the various aspects of automotive imaging - including the forthcoming role that 3D technology is likely to play. To download it click here:

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