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

1 Department of Computer Science and Information Engineering, National Taipei University of Technology, 1, Sec. 3, Chung-hsiao E. Rd., Taipei 10608, Taiwan 2 Department of Electrical Engineering, Fu Jen Catholic University, New Taipei City 24205, Taiwan 3 Department of Computer Science, National Chiao Tung University, 1001 University Road, Hsinchu 30050, Taiwan
* Author to whom correspondence should be addressed.
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

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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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