A Novel Timing Estimation Method for Chirp-Based Systems

2011 ◽  
Vol E94-B (12) ◽  
pp. 3607-3609
Author(s):  
Sanghun YOON ◽  
Dae-Gun OH ◽  
Jong-Wha CHONG ◽  
Tae Moon ROH ◽  
Jong-Kee KWON ◽  
...  
2014 ◽  
Vol 18 (11) ◽  
pp. 1959-1962 ◽  
Author(s):  
Yun Liu ◽  
Hua Yu ◽  
Fei Ji ◽  
Fangjiong Chen ◽  
Weiqiang Pan

2003 ◽  
Vol 7 (5) ◽  
pp. 239-241 ◽  
Author(s):  
Byungjoon Park ◽  
Hyunsoo Cheon ◽  
Changeon Kang ◽  
Daesik Hong

2010 ◽  
Vol 56 (4) ◽  
pp. 2098-2105 ◽  
Author(s):  
Hamed Abdzadeh-Ziabari ◽  
Mahrokh Shayesteh ◽  
Mehrdad Manaffar

Sensors ◽  
2015 ◽  
Vol 15 (11) ◽  
pp. 28942-28959 ◽  
Author(s):  
Xuerong Cui ◽  
Juan Li ◽  
Chunlei Wu ◽  
Jian-Hang Liu

Author(s):  
Yoshikazu Okajima ◽  
◽  
Hiroyuki Masuta ◽  
Masatoshi Okumura ◽  
Tatsuo Motoyoshi ◽  
...  

This manuscript describes a robot interaction for the driving assistance system of an Ultra-Compact Electric Vehicle (UCEV). Fun-to-drive and safety are important for improving the commercial value of UCEV. To improve fun-to-drive and safety, the improvement of the driving skills is important. However, the driving assistance system of an ordinary vehicle only considers the objective driving evaluation. Therefore, we propose an interactive driving assistance system that considers the relation between the subjective as well as the objective driving evaluation. Furthermore, we install a communicating robot within a UCEV to interact with human beings in real time. As a first step, we propose a driving evaluation system by applying a simplified fuzzy inference, and an interaction timing estimation method by applying a spiking neural network. Through an off-line simulation experiment, we verify the effectiveness of our proposal that is able to generate a robot utterances content as well as estimate reasonable timing.


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