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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.


Results of vehicle detection and event determination for a nighttime highway under dim illumination and free-flowing traffic conditions (Test video 7).
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f23-sensors-12-02373: Results of vehicle detection and event determination for a nighttime highway under dim illumination and free-flowing traffic conditions (Test video 7).

Mentions: Figures 23–25 (Test videos 7–9) show further experimental videos of highway environments under dim and normal illumination conditions with different traffic conditions. The snapshots in these figures demonstrate that the proposed system can also correctly detect oncoming and preceding vehicles, estimate their distances, and activate warning and event recording processes. In these three samples, when the oncoming vehicles appear and are detected by the proposed system, the ETDS module switches the headlights to low beam to avoid dazzling oncoming drivers. The ETDS modules then switches the headlights back to high beam after the oncoming vehicles have passed the host car.


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)

Results of vehicle detection and event determination for a nighttime highway under dim illumination and free-flowing traffic conditions (Test video 7).
© Copyright Policy
Related In: Results  -  Collection

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

f23-sensors-12-02373: Results of vehicle detection and event determination for a nighttime highway under dim illumination and free-flowing traffic conditions (Test video 7).
Mentions: Figures 23–25 (Test videos 7–9) show further experimental videos of highway environments under dim and normal illumination conditions with different traffic conditions. The snapshots in these figures demonstrate that the proposed system can also correctly detect oncoming and preceding vehicles, estimate their distances, and activate warning and event recording processes. In these three samples, when the oncoming vehicles appear and are detected by the proposed system, the ETDS module switches the headlights to low beam to avoid dazzling oncoming drivers. The ETDS modules then switches the headlights back to high beam after the oncoming vehicles have passed the host car.

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.