scholarly journals A Study on the Degree of Collision Risk through Analysing the Risk Attitude of Vessel Traffic Service Operators

2017 ◽  
Vol 41 (3) ◽  
pp. 93-102 ◽  
Author(s):  
Jin-Suk Lee ◽  
◽  
Chae-Uk Song
Keyword(s):  
Risk Attitude ◽  
Collision Risk

A Tri-modal Risk Attitude Indicator for Aviation Personnel: Design and Diagnostic Validity

2005 ◽  
Author(s):  
Marian Popa ◽  
Cezarina Rotaru ◽  
Ioana Oprescu
Keyword(s):  
Risk Attitude ◽  
Diagnostic Validity

Supply Chain Inventory Control Strategy Based on Risk Attitude

ICTE 2015 ◽  
2015 ◽  
Author(s):  
Ming Jian ◽  
Yuanyuan Li ◽  
Rajapov Azamat
Keyword(s):  
Supply Chain ◽  
Inventory Control ◽  
Control Strategy ◽  
Risk Attitude

Risk Attitude and Corporate Investment under Output Market Uncertainty: Evidence from The Mekong River Delta, Vietnam

2016 ◽  
pp. 59-70
Author(s):  
Ninh Le Khuong ◽  
Nghiem Le Tan ◽  
Tho Huynh Huu
Keyword(s):  
Negative Relationship ◽  
Risk Attitude ◽  
Business Strategies ◽  
Risk Averse ◽  
Market Uncertainty ◽  
Firm Investment ◽  
Output Market ◽  
The Impact ◽  
The Relationship

This paper aims to detect the impact of firm managers’ risk attitude on the relationship between the degree of output market uncertainty and firm investment. The findings show that there is a negative relationship between these two aspects for risk-averse managers while there is a positive relationship for risk-loving ones, since they have different utility functions. Based on the findings, this paper proposes recommendations for firm managers to take into account when making investment decisions and long-term business strategies as well.

Estimation of Collision Risk using Cognition of Smartphone while Walking

2016 ◽  
Vol 136 (10) ◽  
pp. 1495-1496
Author(s):  
Yusuke Kajiwara ◽  
Yoshihiro Ueda ◽  
Masaki Ikeoka ◽  
Haruhiko Kimura
Keyword(s):  
Collision Risk

scholarly journals Incorporation of Potential Fields and Motion Primitives for the Collision Avoidance of Unmanned Aircraft

2021 ◽  
Vol 11 (7) ◽  
pp. 3103
Author(s):  
Kyuman Lee ◽  
Daegyun Choi ◽  
Donghoon Kim
Keyword(s):  
Collision Avoidance ◽  
Search Algorithm ◽  
Unmanned Aircraft ◽  
Artificial Potential Field ◽  
Tree Search ◽  
Local Minima ◽  
Collision Risk ◽  
Motion Primitives ◽  
Multiple Uavs ◽  
Tree Search Algorithm

Collision avoidance (CA) using the artificial potential field (APF) usually faces several known issues such as local minima and dynamically infeasible problems, so unmanned aerial vehicles’ (UAVs) paths planned based on the APF are safe only in a certain environment. This research proposes a CA approach that combines the APF and motion primitives (MPs) to tackle the known problems associated with the APF. Since MPs solve for a locally optimal trajectory with respect to allocated time, the trajectory obtained by the MPs is verified as dynamically feasible. When a collision checker based on the k-d tree search algorithm detects collision risk on extracted sample points from the planned trajectory, generating re-planned path candidates to avoid obstacles is performed. After rejecting unsafe route candidates, one applies the APF to select the best route among the remaining safe-path candidates. To validate the proposed approach, we simulated two meaningful scenario cases—the presence of static obstacles situation with local minima and dynamic environments with multiple UAVs present. The simulation results show that the proposed approach provides smooth, efficient, and dynamically feasible pathing compared to the APF.

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