Evaluation of a Pilot Assistance System during Simulated Helicopter Shipboard Operations

2022 ◽  
Author(s):  
Tim Mehling ◽  
Omkar Halbe ◽  
Milan Vrdoljak ◽  
Manfred Hajek
2015 ◽  
Vol 45 ◽  
pp. 215-227 ◽  
Author(s):  
Steffen Greiser ◽  
Robin Lantzsch ◽  
Jens Wolfram ◽  
Johannes Wartmann ◽  
Mario Müllhäuser ◽  
...  

Author(s):  
Takeshi Nishida ◽  
Hiroshi Koga ◽  
Yasuhiro Fuchikawa ◽  
Youichi Kitayama ◽  
Shuichi Kurogi ◽  
...  

10.5772/6149 ◽  
2008 ◽  
Author(s):  
Takeshi Nishida ◽  
Shuichi Kurogi ◽  
Koichi Yamanaka ◽  
Wataru Kogushi ◽  
Yuichi Arimur

2018 ◽  
Author(s):  
Sizwe Makhunga ◽  
Tivani P. Mashamba-Thompson ◽  
Mbuzeleni Hlongwa ◽  
Khumbulani W. Hlongwana

Author(s):  
Rizqi Fajar Pradipta ◽  
Frimha Purnamawati ◽  
Mohd Hanafi Mohd Yasin ◽  
Dimas Arif Dewantoro ◽  
Muchamad Irvan ◽  
...  

2021 ◽  
Vol 11 (13) ◽  
pp. 5900
Author(s):  
Yohei Fujinami ◽  
Pongsathorn Raksincharoensak ◽  
Shunsaku Arita ◽  
Rei Kato

Advanced driver assistance systems (ADAS) for crash avoidance, when making a right-turn in left-hand traffic or left-turn in right-hand traffic, are expected to further reduce the number of traffic accidents caused by automobiles. Accurate future trajectory prediction of an ego vehicle for risk prediction is important to activate the assistance system correctly. Our objectives are to propose a trajectory prediction method for ADAS for safe intersection turnings and to evaluate the effectiveness of the proposed prediction method. Our proposed curve generation method is capable of generating a smooth curve without discontinuities in the curvature. By incorporating the curve generation method into the vehicle trajectory prediction, the proposed method could simulate the actual driving path of human drivers at a low computational cost. The curve would be required to define positions, angles, and curvatures at its initial and terminal points. Driving experiments conducted at real city traffic intersections proved that the proposed method could predict the trajectory with a high degree of accuracy for various shapes and sizes of the intersections. This paper also describes a method to determine the terminal conditions of the curve generation method from intersection features. We set a hypothesis where the conditions can be defined individually from intersection geometry. From the hypothesis, a formula to determine the parameter was derived empirically from the driving experiments. Public road driving experiments indicated that the parameters for the trajectory prediction could be appropriately estimated by the obtained empirical formula.


Author(s):  
D. S. Bhargava ◽  
N. Shyam ◽  
K. Senthil Kumar ◽  
M. Wasim Raja ◽  
P Sivashankar.

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