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.
Original language | English |
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Pages (from-to) | 2373-2399 |
Number of pages | 27 |
Journal | Sensors |
Volume | 12 |
Issue number | 3 |
DOIs | |
State | Published - 23 Feb 2012 |
Keywords
- CCD sensors
- Computer vision techniques
- Driver assistance systems
- Embedded systems
- Heterogeneous multi-core systems
- Nighttime driving