A Hardware Skin-Segmentation IP for Vision Based Smart ADAS Through an FPGA Prototyping
| Affiliation auteurs | !!!! Error affiliation !!!! |
| Titre | A Hardware Skin-Segmentation IP for Vision Based Smart ADAS Through an FPGA Prototyping |
| Type de publication | Conference Paper |
| Year of Publication | 2017 |
| Auteurs | Senouci B., Rouis H., Han D.S, Bourennane E. |
| Conference Name | 2017 NINTH INTERNATIONAL CONFERENCE ON UBIQUITOUS AND FUTURE NETWORKS (ICUFN 2017) |
| Publisher | IEEE; IEEE Commun Soc; IEICE Commun Soc; Springer |
| Conference Location | 345 E 47TH ST, NEW YORK, NY 10017 USA |
| ISBN Number | 978-1-5090-4749-9 |
| 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 co-design 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. |