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Communication Dans Un Congrès Année : 2017

A hardware skin-segmentation IP for vision based smart ADAS through an FPGA prototyping

B. Senouci
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H. Rouis
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Résumé

In this paper we presents a platform based design approach for fast HW/SW embedded smart Advanced Driver Assistant System (ADAS) design and prototyping. Then, we share our experience in designing and prototyping a HW/SW vision based smart embedded system as an ADAS that helps to increase the safety of car's drivers. We present a physical prototype of the vision ADAS based on a Zynq FPGA. The system detects the fatigue state of the driver by monitoring the eyes closure and generates a real-time alert. A new HW/SW codesign skin segmentation step to locate the eyes/face is proposed. Our presented new approach migrates the skin segmentation step from processing system (SW) to programmable logic (HW) IP taking the advantage of High Level Synthesis (HLS) tool flow to accelerate the design and prototyping flow of the vision based ADAS on a hardware Zynq platform.
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Dates et versions

hal-01860252 , version 1 (23-08-2018)

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Citer

B. Senouci, H. Rouis, D. Han, El-Bay Bourennane. A hardware skin-segmentation IP for vision based smart ADAS through an FPGA prototyping. 2017 Ninth International Conference on Ubiquitous and Future Networks (ICUFN), IEEE; IEEE Commun Soc; IEICE Commun Soc; Springer, Jul 2017, Milan, France. pp.197-199 ⟨10.1109/ICUFN.2017.7993774⟩. ⟨hal-01860252⟩
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