A simulation tool for in-vehicle navigation systems evaluation

2012 ◽  
Vol 10 (3) ◽  
pp. 265 ◽  
Author(s):  
Hongcheng Gan ◽  
June Wei
Author(s):  
G. E. Burnett

A wide range of in-car computing systems are either already in existence or under development which aim to improve the safety, efficiency and the comfort/pleasure of the driving experience. Several unique forces act on the design process for this technology which must be understood by HCI researchers. In particular, this is an area in which safety concerns dominate perspectives. In this position paper, I have used a case study system (vehicle navigation) to illustrate the evolution of some key HCI design issues that have arisen in the last twenty years as this in-car technology has matured. Fundamentally, I argue that, whilst HCI research has had an influence on current designs for vehicle navigation systems, this has not always been in a wholly positive direction. Future research must take a holistic viewpoint and consider the full range of impacts that in-car computing systems can have on the driving task.


Author(s):  
Kimihiko Nakano ◽  
Rencheng Zheng ◽  
Hiromitsu Ishiko ◽  
Kenji Hagita ◽  
Makoto Kihira ◽  
...  

1995 ◽  
Vol 48 (2) ◽  
pp. 293-302 ◽  
Author(s):  
Allison N. Ramjattan ◽  
Paul A. Cross

Unlike in the case of airborne and offshore applications, GPS cannot be used continuously for land vehicle navigation due to the loss of satellite signals by obstructions from buildings, trees, etc. With the increasing trend in various sectors of the economy towards efficient fleet management, the challenges of providing a system capable of providing high-accuracy vehicle position and location anywhere, continuously, has led to renewed interest in the area of integrated navigation systems. In order to satisfy these conditions, an integrated system comprising GPS and gyro/odometer dead reckoning has been developed. This paper gives a description of the implemented system and shows some of the practical results that can be obtained using Kalman filtering algorithms.


Author(s):  
C. Emmerson ◽  
W. Guo ◽  
P. Blythe ◽  
A. Namdeo ◽  
S. Edwards

1998 ◽  
Vol 25 (1-2) ◽  
pp. 73-82 ◽  
Author(s):  
E.M. Nebot ◽  
H. Durrant Whyte ◽  
S. Scheding

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