scholarly journals A driving intention prediction method based on hidden Markov model for autonomous driving

2020 ◽  
Vol 157 ◽  
pp. 143-149 ◽  
Author(s):  
Shiwen Liu ◽  
Kan Zheng ◽  
Long Zhao ◽  
Pingzhi Fan
Keyword(s):  
Markov Model ◽  
Hidden Markov Model ◽  
Hidden Markov ◽  
Prediction Method ◽  
Autonomous Driving

scholarly journals A Method for Driving Route Predictions Based on Hidden Markov Model

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Ning Ye ◽  
Zhong-qin Wang ◽  
Reza Malekian ◽  
Qiaomin Lin ◽  
Ru-chuan Wang
Keyword(s):  
Markov Model ◽  
Hidden Markov Model ◽  
Recommendation System ◽  
Hidden Markov ◽  
Prediction Method ◽  
Prediction Algorithm ◽  
Training Set ◽  
Rectangular Coordinate System ◽  
Route Prediction ◽  
Route Recommendation

We present a driving route prediction method that is based on Hidden Markov Model (HMM). This method can accurately predict a vehicle’s entire route as early in a trip’s lifetime as possible without inputting origins and destinations beforehand. Firstly, we propose the route recommendation system architecture, where route predictions play important role in the system. Secondly, we define a road network model, normalize each of driving routes in the rectangular coordinate system, and build the HMM to make preparation for route predictions using a method of training set extension based onK-means++ and the add-one (Laplace) smoothing technique. Thirdly, we present the route prediction algorithm. Finally, the experimental results of the effectiveness of the route predictions that is based on HMM are shown.

Auscultating Diagnosis for Hemodialysis Shunt Stenosis using a Self-Organizing Map and Hidden Markov Model

2012 ◽  
Vol 132 (10) ◽  
pp. 1589-1594 ◽  
Author(s):  
Hayato Waki ◽  
Yutaka Suzuki ◽  
Osamu Sakata ◽  
Mizuya Fukasawa ◽  
Hatsuhiro Kato
Keyword(s):  
Markov Model ◽  
Hidden Markov Model ◽  
Hidden Markov ◽  
Self Organizing Map ◽  
Self Organizing
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