An evidential fusion architecture for advanced driver assistance
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Designing an integrated driver assistance system using image sensors
Journal of Intelligent Manufacturing
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Advanced driver assistance systems (ADAS) support the driver's decision making to increase safety and comfort by providing an ergonomic display of the driving environment as well as issuing the warning signals or even exerting active control in case of dangerous conditions. Most previous research and products intend to offer only a single warning service, such as lane departure warning, collision warning, lane change assistance, etc. Although each component of these functions elevates the driving safety and convenience to a certain degree, a new type of ADAS will be developed to integrate all of the important functions with an efficient human---machine interface (HMI) framework for various driving conditions. We present an all-around sensing system based on an integrated ADAS that senses all directions using 2 cameras and 8 sonars, recognizes the driving environment via lane and vehicle detection, and construct a novel bird's-eye view HMI of the environment for easy comprehension that even gives a proper warning signal in case of imminent danger. It was tested on our experimental vehicle with a good demonstration its working. Further, it has a good potential for commercial use by virtue of the low cost of the sensors used.