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Sensors 2012, 12(3), 2373-2399; doi:10.3390/s120302373
Article

A Vision-Based Driver Nighttime Assistance and Surveillance System Based on Intelligent Image Sensing Techniques and a Heterogamous Dual-Core Embedded System Architecture

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Received: 9 January 2012; in revised form: 12 February 2012 / Accepted: 21 February 2012 / Published: 23 February 2012
(This article belongs to the Section Physical Sensors)
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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.
Keywords: CCD sensors; computer vision techniques; driver assistance systems; embedded systems; heterogeneous multi-core systems; nighttime driving CCD sensors; computer vision techniques; driver assistance systems; embedded systems; heterogeneous multi-core systems; nighttime driving
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Chen, Y.-L.; Chiang, H.-H.; Chiang, C.-Y.; Liu, C.-M.; Yuan, S.-M.; Wang, J.-H. A Vision-Based Driver Nighttime Assistance and Surveillance System Based on Intelligent Image Sensing Techniques and a Heterogamous Dual-Core Embedded System Architecture. Sensors 2012, 12, 2373-2399.

AMA Style

Chen Y-L, Chiang H-H, Chiang C-Y, Liu C-M, Yuan S-M, Wang J-H. A Vision-Based Driver Nighttime Assistance and Surveillance System Based on Intelligent Image Sensing Techniques and a Heterogamous Dual-Core Embedded System Architecture. Sensors. 2012; 12(3):2373-2399.

Chicago/Turabian Style

Chen, Yen-Lin; Chiang, Hsin-Han; Chiang, Chuan-Yen; Liu, Chuan-Ming; Yuan, Shyan-Ming; Wang, Jenq-Haur. 2012. "A Vision-Based Driver Nighttime Assistance and Surveillance System Based on Intelligent Image Sensing Techniques and a Heterogamous Dual-Core Embedded System Architecture." Sensors 12, no. 3: 2373-2399.



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