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A vision-based driver nighttime assistance and surveillance system based on intelligent image sensing techniques and a heterogamous dual-core embedded system architecture.

Chen YL, Chiang HH, Chiang CY, Liu CM, Yuan SM, Wang JH - Sensors (Basel) (2012)

Bottom Line: The proposed system processes the road-scene frames in front of the host car captured from CCD sensors mounted on the host vehicle.These vision-based sensing and processing technologies are integrated and implemented on an ARM-DSP heterogamous dual-core embedded platform.Peripheral devices, including image grabbing devices, communication modules, and other in-vehicle control devices, are also integrated to form an in-vehicle-embedded vision-based nighttime driver assistance and surveillance system.

View Article: PubMed Central - PubMed

Affiliation: Department of Computer Science and Information Engineering, National Taipei University of Technology, Taipei 10608, Taiwan. ylchen@csie.ntut.edu.tw

ABSTRACT
This study proposes a vision-based intelligent nighttime driver assistance and surveillance system (VIDASS system) implemented by a set of embedded software components and modules, and integrates these modules to accomplish a component-based system framework on an embedded heterogamous dual-core platform. Therefore, this study develops and implements computer vision and sensing techniques of nighttime vehicle detection, collision warning determination, and traffic event recording. The proposed system processes the road-scene frames in front of the host car captured from CCD sensors mounted on the host vehicle. These vision-based sensing and processing technologies are integrated and implemented on an ARM-DSP heterogamous dual-core embedded platform. Peripheral devices, including image grabbing devices, communication modules, and other in-vehicle control devices, are also integrated to form an in-vehicle-embedded vision-based nighttime driver assistance and surveillance system.

No MeSH data available.


The software architecture of the VIDASS system on the ARM-DSP heterogamous dual-core embedded platform.
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f10-sensors-12-02373: The software architecture of the VIDASS system on the ARM-DSP heterogamous dual-core embedded platform.

Mentions: For the embedded software implementation on the OMAP3530 platform, the vision-based subsystem modules of the proposed VIDASS system (as described in the previous section) are implemented on the DSP-side to guarantee the real-time computational performance of image and vision processing modules. The main GUI system and peripheral IO control facilities were executed on the ARM-side along, in addition to the embedded Linux. The proposed VIDASS system uses the TI DVSDK software architecture to accomplish the real-time vision-based computing modules on the ARM-DSP heterogamous dual-core embedded platform, as Figure 10 illustrates. The study adopts a component-based framework to develop the embedded software framework of the proposed VIDASS system. The VIDASS software framework includes the following embedded vision computing modules: the bright object segmentation (BOS) module, the spatial analysis and clustering process (SCP) module, the vehicle tracking and identification (VTI) module, the vehicle distance estimation (VDE) module, and the event-driven traffic data recording subsystem (ETDS). The advantages of using a component-based system include the ease of updating new function modules and extending the system to any subsequent developments of new vision-based assistance functional modules.


A vision-based driver nighttime assistance and surveillance system based on intelligent image sensing techniques and a heterogamous dual-core embedded system architecture.

Chen YL, Chiang HH, Chiang CY, Liu CM, Yuan SM, Wang JH - Sensors (Basel) (2012)

The software architecture of the VIDASS system on the ARM-DSP heterogamous dual-core embedded platform.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3376597&req=5

f10-sensors-12-02373: The software architecture of the VIDASS system on the ARM-DSP heterogamous dual-core embedded platform.
Mentions: For the embedded software implementation on the OMAP3530 platform, the vision-based subsystem modules of the proposed VIDASS system (as described in the previous section) are implemented on the DSP-side to guarantee the real-time computational performance of image and vision processing modules. The main GUI system and peripheral IO control facilities were executed on the ARM-side along, in addition to the embedded Linux. The proposed VIDASS system uses the TI DVSDK software architecture to accomplish the real-time vision-based computing modules on the ARM-DSP heterogamous dual-core embedded platform, as Figure 10 illustrates. The study adopts a component-based framework to develop the embedded software framework of the proposed VIDASS system. The VIDASS software framework includes the following embedded vision computing modules: the bright object segmentation (BOS) module, the spatial analysis and clustering process (SCP) module, the vehicle tracking and identification (VTI) module, the vehicle distance estimation (VDE) module, and the event-driven traffic data recording subsystem (ETDS). The advantages of using a component-based system include the ease of updating new function modules and extending the system to any subsequent developments of new vision-based assistance functional modules.

Bottom Line: The proposed system processes the road-scene frames in front of the host car captured from CCD sensors mounted on the host vehicle.These vision-based sensing and processing technologies are integrated and implemented on an ARM-DSP heterogamous dual-core embedded platform.Peripheral devices, including image grabbing devices, communication modules, and other in-vehicle control devices, are also integrated to form an in-vehicle-embedded vision-based nighttime driver assistance and surveillance system.

View Article: PubMed Central - PubMed

Affiliation: Department of Computer Science and Information Engineering, National Taipei University of Technology, Taipei 10608, Taiwan. ylchen@csie.ntut.edu.tw

ABSTRACT
This study proposes a vision-based intelligent nighttime driver assistance and surveillance system (VIDASS system) implemented by a set of embedded software components and modules, and integrates these modules to accomplish a component-based system framework on an embedded heterogamous dual-core platform. Therefore, this study develops and implements computer vision and sensing techniques of nighttime vehicle detection, collision warning determination, and traffic event recording. The proposed system processes the road-scene frames in front of the host car captured from CCD sensors mounted on the host vehicle. These vision-based sensing and processing technologies are integrated and implemented on an ARM-DSP heterogamous dual-core embedded platform. Peripheral devices, including image grabbing devices, communication modules, and other in-vehicle control devices, are also integrated to form an in-vehicle-embedded vision-based nighttime driver assistance and surveillance system.

No MeSH data available.