P10 - Optimizing the Design of a Multi-Sensor System for On-Line Driver State and Drowsiness Detection

  title={P10 - Optimizing the Design of a Multi-Sensor System for On-Line Driver State and Drowsiness Detection},
  author={Libo Li and Kittikhun Thongpull and Andreas K{\"o}nig},
Driver assistance systems have become largely established in automotive applications, both for comfort and for safety functions. The monitoring of the driver state and intention, in particular, the detection of fatigue or drowsiness, is a relevant but not completely satisfying solved task both in consumer as well as commercial vehicles to improve both vehicle and road safety. Thus, in our research, a multi-sensor driver assistance system for this aim has been conceived in our DeCaDrive project… Expand


Multi-Sensor Soft-Computing System for Driver Drowsiness Detection
A novel approach to driver status monitoring aimed at drowsiness detection based on depth camera, pulse rate sensor and steering angle sensor, implemented on an integrated soft-computing system for driving simulation (DeCaDrive) with multi-sensing interfaces. Expand
4.3 - Application-Specific Partially Automated Design of Multi-Sensor Intelligent Lab-on-Spoon System
In this work, we pick up the ISE research on automation of intelligent integrated systems design and apply and adapt the concept, methodology, and tool implementation. In particular, a new platform,Expand
An introduction to kernel-based learning algorithms
This paper provides an introduction to support vector machines, kernel Fisher discriminant analysis, and kernel principal component analysis, as examples for successful kernel-based learning methods.Expand
Orange: data mining toolbox in python
Orange is a machine learning and data mining suite for data analysis through Python scripting and visual programming, which features interactive data analysis and component-based assembly of data mining procedures. Expand
Building hybrid systems with Boost.Python
Introduction Boost.Python Design Goals Hello Boost.Python World Library Overview Exposing Classes Constructors Data Members and Properties Operator Overloading Inheritance Virtual Functions DeeperExpand
http://www.daimler.com, last visited: 4.7.2014
  • 2014