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

Sensors

Yen-Lin Chen²  Hsin-Han Chiang³  Chuan-Yen Chiang¹  Chuan-Ming Liu²  Shyan-Ming Yuan¹ 

[1] Department of Computer Science, National Chiao Tung University, 1001 University Road, Hsinchu 30050, Taiwan; E-Mails:;Department of Computer Science and Information Engineering, National Taipei University of Technology, 1, Sec. 3, Chung-hsiao E. Rd., Taipei 10608, Taiwan; E-Mails:;Department of Electrical Engineering, Fu Jen Catholic University, New Taipei City 24205, Taiwan; E-Mail:

关键词: CCD sensors;    computer vision techniques;    driver assistance systems;    embedded systems;    heterogeneous multi-core systems;    nighttime driving;   

DOI  :  10.3390/s120302373

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2012 by the authors; licensee MDPI, Basel, Switzerland