The volume also features:
- Recent advances in Smart-Car technology - vehicles that take into account and conform to the driver
- Driver-vehicle interfaces that take into account the driving task and cognitive load of the driver
- Best practices for In-Vehicle Corpus Development and distribution
- Information on multi-sensor analysis and fusion techniques for robust driver monitoring and driver recognition
- Knowledge distribution for vehicle-to-vehicle and vehicle-to-infrastructure communications
Digital Signal Processing for In-Vehicle Systems and Safety is useful for engineering researchers, students, automotive manufacturers, government foundations and engineers working in the areas of control engineering, signal processing, audio-video processing, man-machine interfaces, human factors and transportation engineering.
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