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Forward Vehicle Detection for ADAS by Nick Gino is a document available to read on EtoBox.

This thesis proposes a forward collision warning system using a customized single shot detector for real-time vehicle detection from monocular cameras on mobile devices. The thesis analyzes the bounding box distribution of vehicles in a dataset to customize the default boxes of SSD for better accuracy. Experiments show the customized SSD uses less memory, has a higher frame rate, and lower battery consumption than popular object detectors, making it suitable for mobile applications.

Author
Nick Gino
Language
EN