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https://link.springer.com/chapter/10.1007/978-3-540-85984-0_143
The system is real-time and it is based on a low-cost embedded lightweight architecture which has been presented in a previous work. ... Experimental System to Support Real-Time Driving Pattern Recognition. In: Huang DS., Wunsch D.C., Levine D.S., Jo KH.Cited by: 29
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2222669/
Features chosen for EMG signal are time and time-frequency domain. In this work we demonstrate the capability of an EMG pattern recognition system using ANFIS as classifier with a real-time learning method. Our results reveal that the utilized real-time ANFIS approach along with the user evaluation provides a 96.7% average accuracy.Cited by: 162
https://arxiv.org/pdf/1605.06742.pdf
A Rapid Pattern-Recognition Method for Driving Styles Using Clustering-Based Support Vector Machines Wenshuo Wang1 and Junqiang Xi2 Abstract—A rapid pattern-recognition approach to char-acterize driver’s curve-negotiating behavior is proposed. To shorten the recognition time and improve the recognition of driving styles, a k-means ...
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5087531/
In this work, we proposed a novel model-based driving behavior recognition system using motion sensors. The physical model built and data change rule deduced promise the system a good performance with an average accuracy of 93.25% in classifying all 14 …Cited by: 9
https://arxiv.org/abs/2001.09678
3 days ago · Computer Science > Computer Vision and Pattern Recognition. ... the operational efficiency of the system. The experimental results show that the system can achieve robust and accurate real-time environment perception for intelligent vehicles, which can be directly used in the commercial real-time intelligent driving applications. ...
https://repository.asu.edu/attachments/164107/content/Kumar_asu_0010N_15593.pdf
Fuzzy Logic Based Driving Pattern Recognition for Hybrid Electric Vehicle Energy Management by Sushil Kumar A Thesis Presented in Partial Fulfillment of the Requirements for the Degree Master of Science Approved October 2015 by the Graduate Supervisory Committee: Abdel Ra’ouf Mayyas, Chair A. M. Kannan James Contes ARIZONA STATE UNIVERSITY
https://link.springer.com/chapter/10.1007/11949534_50
This paper describes a novel driving pattern recognition and status monitoring system based on the orientation information. Two fixed cameras are used to capture the driver’s image and the front-road image. The driver’s sight line and the driving lane path are found from these 2 captured images and are mapped into a global coordinate.Cited by: 25
https://www.cs.drexel.edu/files/ts467/DU-CS-04-08.pdf
Pattern Recognition Techniques to Infer Driver Intentions Hiren M. Mandalia Dr. Dario Salvucci, Ph.D. Driving is a complex task that requires constant attention from the mind and the body. Automobile drivers today are under high risks, thanks to the ever-expanding …
https://cs.gmu.edu/~jessica/publications/astronomy11.pdf
real-world time series data, pose challenges that render classic data mining algorithms ineffective and inefficient for time series. As a result, time series data mining has attracted enormous amount of attention in the past two decades. In this chapter, we discuss the state-of …
https://ieeexplore.ieee.org/document/7373593/
Abstract: Traffic light recognition is of great significance for driver assistance or autonomous driving. In this paper, a traffic light recognition system based on smartphone platforms is proposed. First, an ellipsoid geometry threshold model in Hue Saturation Lightness color space is …Cited by: 4
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