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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.


Proposed system software architecture.
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f15-sensors-12-02373: Proposed system software architecture.

Mentions: The proposed vision-based techniques and modules of the VIDASS system were integrated and implemented on a TI IMAP3530 ARM-DSP dual-core embedded platform, which was set up on an experimental camera-assisted car. To make the proposed system operate well, the CCD camera for acquiring input image sequences of front road environments is mounted behind the windshield inside the experimental camera-assisted car with a sufficient height for capture a suitable region for covering the interesting driving lanes to be monitored, as shown in Figure 15. Then the view angle of the CCD camera is calibrated to be parallel to the ground for obtaining reliable features of target vehicles and the relative distances to them. In our experimental platform, the CCD camera is set at a 1.3 m height to the ground and parallel to the ground with an elevation angle of zero degree, while the focal length of the CCD camera is set as 10 mm. The peripheral devices, including image grabbing devices, mobile communication modules, and other in-vehicle control devices, were also integrated on the ARM-DSP dual-core embedded platform to accomplish an in-vehicle embedded vision-based nighttime driver assistance and surveillance system. The proposed vision system has a frame rate of 10 fps, and the size of each frame of captured image sequences is 720 pixels × 480 pixels per frame. The proposed system was tested on several videos of real nighttime road-scenes under various conditions.


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)

Proposed system software architecture.
© Copyright Policy
Related In: Results  -  Collection

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

f15-sensors-12-02373: Proposed system software architecture.
Mentions: The proposed vision-based techniques and modules of the VIDASS system were integrated and implemented on a TI IMAP3530 ARM-DSP dual-core embedded platform, which was set up on an experimental camera-assisted car. To make the proposed system operate well, the CCD camera for acquiring input image sequences of front road environments is mounted behind the windshield inside the experimental camera-assisted car with a sufficient height for capture a suitable region for covering the interesting driving lanes to be monitored, as shown in Figure 15. Then the view angle of the CCD camera is calibrated to be parallel to the ground for obtaining reliable features of target vehicles and the relative distances to them. In our experimental platform, the CCD camera is set at a 1.3 m height to the ground and parallel to the ground with an elevation angle of zero degree, while the focal length of the CCD camera is set as 10 mm. The peripheral devices, including image grabbing devices, mobile communication modules, and other in-vehicle control devices, were also integrated on the ARM-DSP dual-core embedded platform to accomplish an in-vehicle embedded vision-based nighttime driver assistance and surveillance system. The proposed vision system has a frame rate of 10 fps, and the size of each frame of captured image sequences is 720 pixels × 480 pixels per frame. The proposed system was tested on several videos of real nighttime road-scenes under various conditions.

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.