Visual flight simulation of UAVs in real time programmed in JAVA language

1999 ◽  
Author(s):  
Xiaohong Qiu ◽  
Fang Liao
2014 ◽  
Vol 59 (4) ◽  
pp. 1-18 ◽  
Author(s):  
Ioannis Goulos ◽  
Vassilios Pachidis ◽  
Pericles Pilidis

This paper presents a mathematical model for the simulation of rotor blade flexibility in real-time helicopter flight dynamics applications that also employs sufficient modeling fidelity for prediction of structural blade loads. A matrix/vector-based formulation is developed for the treatment of elastic blade kinematics in the time domain. A novel, second-order-accurate, finite-difference scheme is employed for the approximation of the blade motion derivatives. The proposed method is coupled with a finite-state induced-flow model, a dynamic wake distortion model, and an unsteady blade element aerodynamics model. The integrated approach is deployed to investigate trim controls, stability and control derivatives, nonlinear control response characteristics, and structural blade loads for a hingeless rotor helicopter. It is shown that the developed methodology exhibits modeling accuracy comparable to that of non-real-time comprehensive rotorcraft codes. The proposed method is suitable for real-time flight simulation, with sufficient fidelity for simultaneous prediction of oscillatory blade loads.


3D Research ◽  
2014 ◽  
Vol 5 (4) ◽  
Author(s):  
Xiang Que ◽  
Gang Liu ◽  
Zhenwen He ◽  
Guang Qi

2017 ◽  
Vol 67 (5) ◽  
pp. 542 ◽  
Author(s):  
Lei Zhang ◽  
Yue Cheng ◽  
Zhengjun Zhai

<p>Existing methods of runway detection are more focused on image processing for remote sensing images based on computer vision techniques. However, these algorithms are too complicated and time-consuming to meet the demand for real-time airborne application. This paper proposes a novel runway detection method based on airborne multi-sensors data fusion which works in a coarse-to-fine hierarchical architecture. At the coarse layer, a vision projection model from world coordinate system to image coordinate system is built by fusing airborne navigation data and forward-looking sensing images, then a runway region of interest (ROI) is extracted from a whole image by the model. Furthermore, EDLines which is a real-time line segments detector is applied to extract straight line segments from ROI at the fine layer, and fragmented line segments generated by EDLines are linked into two long runway lines. Finally, some unique runway features (e.g. vanishing point and runway direction) are used to recognise airport runway. The proposed method is tested on an image dataset provided by a flight simulation system. The experimental results show that the method has advantages in terms of speed, recognition rate and false alarm rate.</p>


2014 ◽  
Vol 684 ◽  
pp. 165-168
Author(s):  
Yong Zhou Jiang ◽  
Yong Ji Lu ◽  
Yan Ding ◽  
Xiao Yan Yu

The flight process often in turbulence. Atmospheric turbulence causes flight bump, long time will cause damage to the aircraft structure fatigue. This paper establishes a model for atmospheric disturbance, flight simulation. Based on the aircraft through all kinds of atmospheric disturbance is studied. The use of embedded database and real-time simulation platform, built a run, in the PC machine can be used for dynamic model for real-time simulation of flight simulator.


Author(s):  
Sallie E. Gordon ◽  
Bettina A. Babbitt ◽  
Herbert H. Bell ◽  
H. Barbara Sorensen

Training programs for complex tasks are increasingly using simulations to provide transfer of training to the job environment without incurring high costs of on-the-job training. A second trend in training is toward the use of intelligent tutoring systems (ITSs) to provide individualized feedback to optimize training. Combining simulation with an ITS can be especially beneficial, but use of intelligent tutoring mechanisms such as expert systems is often difficult in a complex, realtime environment. In this paper, we describe the development of a proof-of-concept training program that combines F-16 flight simulation with an embedded real-time intelligent tutoring system. In the simulation, pilots learn the correct use of advanced fire control radar modes to locate and assess multiple enemy formations (search and sort tasks). The expert system monitors pilot behavior and verbal responses as the pilot flies the simulation. At certain critical points, if the pilot's performance has fallen outside of pre-specified parameters of “safe” behavior, the tutoring component stops the simulation and feedback is provided.


1997 ◽  
Author(s):  
M. Dahms ◽  
W. Kindel ◽  
R. Liebich ◽  
O. Schmidt ◽  
M. Dahms ◽  
...  
Keyword(s):  

Author(s):  
Gregorio Rodríguez-Miranda ◽  
Rene Santos-Osorio ◽  
Carmen Sarahí Ordaz-Banda ◽  
José Armando Lopez-Rivera

In this work it present the development of a prototype for the control of spaces in a parking lot, which through a web page monitors and displays in real time the available places, for this project it is used: an Arduino Uno card, proximity sensors Lm393, male / female, male / male cables, ESP8266 WIFI module and two LEDs; all these connected to each other by a communication link developed with Arduino code, allowing to transmit and send data in the Arduino serial. An Arduino serial communication link is made with java language code, acting as an intermediary for the insertion of information in the database. The web application was developed with the programming language PHP and HTML and was connected to the database hosted on the MySQL server, using as a Sublime Text code editor. Thus achieving on the web page the monitoring in real time of the available parking places. The results shown by the prototype indicate that it is probably feasible to implement this technology to make the parking lots smart.


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