Abstract
With the rapid development of electronics and the growing demand for higher vehicle performance, driving environment recognition and self-adaptation are becoming more and more important for the vehicle control systems. A two-level intelligent real-time driving environment recognition architecture is proposed in this paper. The lower level does the fundamental recognition according to "driving condition" algorithms and the upper level makes inference and decision based on rules. Also, the application of the driving environment recognition in the automatic mechanical transmission (AMT) is introduced.
Original language | English |
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Journal | SAE Technical Papers |
DOIs | |
Publication status | Published - 2001 |
Externally published | Yes |
Event | SAE 2001 World Congress - Detroit, MI, United States Duration: 5 Mar 2001 → 8 Mar 2001 |
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Anlin, G., Hui, J., Yulong, L., Mingkui, N., & Tongli, L. (2001). A study on vehicle driving environment recognition. SAE Technical Papers. https://doi.org/10.4271/2001-01-1277