Smartphone Orientation Tracking Algorithm for Pedestrian Navigation

Author(s):  
Maan E. Khedr ◽  
Naser El-Sheimy
Author(s):  
Minhuck Park ◽  
Sanghoon Jeon ◽  
Beomju Shin ◽  
Heekwon No ◽  
Changdon Kee ◽  
...  

Author(s):  
A.E. Semenov

The method of pedestrian navigation in the cities illustrated by the example of Saint-Petersburg was investigated. The factors influencing people when they choose a route for their walk were determined. Based on acquired factors corresponding data was collected and used to develop model determining attractiveness of a street in the city using Random Forest algorithm. The results obtained shows that routes provided by the method are 14% more attractive and just 6% longer compared with the shortest ones.


2009 ◽  
Vol 35 (8) ◽  
pp. 1055-1062
Author(s):  
Shao-Hua LIU ◽  
Mao-Jun ZHANG ◽  
Zhi-Hui XIONG ◽  
Wang CHEN

2010 ◽  
Vol 30 (3) ◽  
pp. 650-652 ◽  
Author(s):  
Xuan LU ◽  
Hang LEI ◽  
Zong-bo HAO
Keyword(s):  

2010 ◽  
Vol 30 (3) ◽  
pp. 643-645 ◽  
Author(s):  
Wei ZENG ◽  
Gui-bin ZHU ◽  
Jie CHEN ◽  
Ding-ding TANG

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