Mariner Mars 1969 flight-path design and mission analysis.

1969 ◽  
Vol 6 (5) ◽  
pp. 537-544 ◽  
Author(s):  
CHARLES E. KOHLHASE
Keyword(s):  
Flight Path ◽  
Mission Analysis ◽  
Path Design

scholarly journals CLOS Flight Path Design and Analysis

2013 ◽  
Vol 15 (AEROSPACE SCIENCES) ◽  
pp. 1-21
Author(s):  
G. El-Sheikh ◽  
A. Oda ◽  
A. Al-Gelany ◽  
R. Al-Bardeny
Keyword(s):  
Flight Path ◽  
Path Design

scholarly journals Energy and Quality Aware Multi-UAV Flight Path Design Through Q-Learning Algorithms

2019 ◽  
pp. 246-257
Author(s):  
Hend Zouaoui ◽  
Simone Faricelli ◽  
Francesca Cuomo ◽  
Stefania Colonnese ◽  
Luca Chiaraviglio
Keyword(s):  
Learning Algorithms ◽  
Flight Path ◽  
Q Learning ◽  
Path Design ◽  
Multi Uav

scholarly journals Entropy Minimizing Curves with Application to Flight Path Design and Clustering

Entropy ◽  
2016 ◽  
Vol 18 (9) ◽  
pp. 337 ◽  
Author(s):  
Stéphane Puechmorel ◽  
Florence Nicol
Keyword(s):  
Flight Path ◽  
Path Design

Cognitive Factors Mediate the Relation Between Age and Flight Path Maintenance in General Aviation

2016 ◽  
Vol 6 (2) ◽  
pp. 81-90 ◽  
Author(s):  
Kathleen Van Benthem ◽  
Chris M. Herdman
Keyword(s):  
Cognitive Functioning ◽  
Flight Path ◽  
General Aviation ◽  
Cognitive Factors ◽  
Pilot Performance ◽  
Pilot Error ◽  
Age Related ◽  
And Performance ◽  
Relationship Of ◽  
The Relationship

Abstract. Identifying pilot attributes associated with risk is important, especially in general aviation where pilot error is implicated in most accidents. This research examined the relationship of pilot age, expertise, and cognitive functioning to deviations from an ideal circuit trajectory. In all, 54 pilots, of varying age, flew a Cessna 172 simulator. Cognitive measures were obtained using the CogScreen-AE ( Kay, 1995 ). Older age and lower levels of expertise and cognitive functioning were associated with significantly greater flight path deviations. The relationship between age and performance was fully mediated by a cluster of cognitive factors: speed and working memory, visual attention, and cognitive flexibility. These findings add to the literature showing that age-related changes in cognition may impact pilot performance.

Sign in / Sign up

Export Citation Format

Share Document