6533b854fe1ef96bd12aea1f
RESEARCH PRODUCT
A hardware skin-segmentation IP for vision based smart ADAS through an FPGA prototyping
H. RouisB. SenouciDong Seog HanE. Bourennaneasubject
car driver safetyComputer scienceautomotive electronicsFPGA Prototyping02 engineering and technology01 natural sciencesIP networkshardware skin segmentation IPhardware-software vision based smart embedded system[SPI]Engineering Sciences [physics]HardwareHigh-level synthesis0202 electrical engineering electronic engineering information engineeringSegmentationField-programmable gate arrayimage segmentationSkinfield programmable gate arraysVision basedbusiness.industry010401 analytical chemistryVehiclesobject detectionplatform based design0104 chemical sciences[SPI.TRON]Engineering Sciences [physics]/ElectronicsProgrammable logic devicedriver information systemsimage recognitionStreaming mediaembedded smart advanced driver assistant systemEmbedded systemFacefatigue state detectionPlatform-based design020201 artificial intelligence & image processingembedded systemsState (computer science)vision based smart ADASbusinesshardware-software codesignroad safetyComputer hardwareSoftwareFPGA prototypedescription
International audience; 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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2017-07-04 |