A self-adaptive approach for curbstone/roadside detection based on human-like signal processing and multi-sensor fusion

@article{Michalke2010ASA,
  title={A self-adaptive approach for curbstone/roadside detection based on human-like signal processing and multi-sensor fusion},
  author={Thomas Michalke and Robert Kastner and Jannik Fritsch and Christian Goerick},
  journal={2010 IEEE Intelligent Vehicles Symposium},
  year={2010},
  pages={307-312}
}
Newly emerging, highly complex Advanced Driver Assistance Systems (ADAS) fuse the output of various system modules (e.g., lane detection, object classification). Such knowledge fusion is realized in order to gain additional information of the environment allowing for complex system tasks as path planning, the active search for specific objects and task-specific analysis of the environment. As part of our previous work, we realized a highly generic type of such ADAS using biological principles… CONTINUE READING