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http://dx.doi.org/10.5909/JBE.2019.24.4.573

Improved Object Recognition using Multi-view Camera for ADAS  

Park, Dong-hun (Future Vehicle Engineering, Inha University)
Kim, Hakil (Future Vehicle Engineering, Inha University)
Publication Information
Journal of Broadcast Engineering / v.24, no.4, 2019 , pp. 573-579 More about this Journal
Abstract
To achieve fully autonomous driving, the perceptual skills of the surrounding environment must be superior to those of humans. The $60^{\circ}$ angle, $120^{\circ}$ wide angle cameras, which are used primarily in autonomous driving, have their disadvantages depending on the viewing angle. This paper uses a multi-angle object recognition system to overcome each of the disadvantages of wide and narrow-angle cameras. Also, the aspect ratio of data acquired with wide and narrow-angle cameras was analyzed to modify the SSD(Single Shot Detector) algorithm, and the acquired data was learned to achieve higher performance than when using only monocular cameras.
Keywords
Object Detection; Multi-Angle Camera; Deep learning; Light Weight; Vehicle camera system;
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