Pilot performance as a function of display resolution and field of view in a simulated terrain following flight task using a synthetic vision system

2003 ◽  
Author(s):  
Keller ◽  
Schnell ◽  
Lemos ◽  
Glaab ◽  
Parrish
Keyword(s):  
Vision System ◽  
Field Of View ◽  
Pilot Performance ◽  
Synthetic Vision ◽  
Terrain Following ◽  
Display Resolution

scholarly journals A panoramic synthetic vision model for improving collision avoidance in crowd simulation

2015 ◽  
Vol 6 (2) ◽  
pp. 1
Author(s):  
Ricardo Bustamante de Queiroz ◽  
Teófilo Dutra ◽  
Creto Vidal ◽  
Joaquim Cavalcante-Neto
Keyword(s):  
Virtual Reality ◽  
Visual Perception ◽  
Collision Avoidance ◽  
Vision System ◽  
Crowd Simulation ◽  
Field Of View ◽  
Panoramic View ◽  
Natural Manner ◽  
Synthetic Vision ◽  
The Common

Crowd Simulation is very important in many virtual reality applications, because it improves the sense of immersion of the users by making the population of agents in the environment to move as real crowds do. Recently, models for simulating crowds, in which each agent is equipped with a synthetic vision system, have shown interesting results regarding the natural manner in which the agents navigate inside the environment thanks to their visual perception. In this article, we propose an upgrade to the agent’s visual system with a panoramic view in order to allow an agent to expand its vision beyond the limit of 180o imposed by the common projection provided by rendering APIs. Also, we analyze different parameters, which are used to define the field of view, to investigate the influence they have on the agent’s behavior. The impacts that those changes may cause on the efficiency of the algorithms are also analysed. A visible change on the agent’s behavior is achieved by using the technique, with a slight loss of performance.

A closed-loop, ACT-R approach to modeling approach and landing with and without synthetic vision system (SVS) technology

2004 ◽  
Author(s):  
Michael D. Byrne ◽  
Alex Kirlik ◽  
Michael D. Fleetwood ◽  
David G. Huss ◽  
Alex Kosorukoff ◽  
...  
Keyword(s):  
Closed Loop ◽  
Vision System ◽  
Modeling Approach ◽  
Synthetic Vision

scholarly journals An Efficient Synthetic Vision System for 3D Multi-character Systems

2003 ◽  
pp. 356-357 ◽  
Author(s):  
Miguel Lozano ◽  
Rafael Lucia ◽  
Fernando Barber ◽  
Fran Grimaldo ◽  
Antonio Lucas ◽  
...  
Keyword(s):  
Vision System ◽  
Synthetic Vision

scholarly journals Flexible method for accurate calibration of large-scale vision metrology system based on virtual 3-D targets and laser tracker

2019 ◽  
Vol 16 (6) ◽  
pp. 172988141989351
Author(s):  
Xi Zhang ◽  
Yuanzhi Xu ◽  
Haichao Li ◽  
Lijing Zhu ◽  
Xin Wang ◽  
...  
Keyword(s):  
High Precision ◽  
Stereo Vision ◽  
Large Scale ◽  
Vision System ◽  
Calibration Method ◽  
Field Of View ◽  
Large Field ◽  
Laser Tracker ◽  
Calibration Target ◽  
Pose Tracking

For the purpose of obtaining high-precision in stereo vision calibration, a large-size precise calibration target, which can cover more than half of the field of view is vital. However, large-scale calibration targets are very difficult to fabricate. Based on the idea of error tracing, a high-precision calibration method for vision system with large field of view by constructing a virtual 3-D calibration target with a laser tracker was proposed in this article. A virtual 3-D calibration target that covers the whole measurement space can be established flexibly and the measurement precision of the vision system can be traceable to the laser tracker. First, virtual 3-D targets by calculating rigid body transformation with unit quaternion method were constructed. Then, the high-order distortion camera model was taken into consideration. Besides, the calibration parameters were solved with Levenberg–Marquardt optimization algorithm. In the experiment, a binocular stereo vision system with the field of view of 4 × 3 × 2 m3 was built for verifying the validity and precision of the proposed calibration method. It is measured that the accuracy with the proposed method can be greatly improved comparing with traditional plane calibration method. The method can be widely used in industrial applications, such as in the field of calibrating large-scale vision-based coordinate metrology, and six-degrees of freedom pose tracking system for dimensional measurement of workpiece, as well as robotics geometrical accuracy detection and compensation.

scholarly journals Automatic Rectification of the Hybrid Stereo Vision System

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3355
Author(s):  
Chengtao Cai ◽  
Bing Fan ◽  
Xin Liang ◽  
Qidan Zhu
Keyword(s):  
Stereo Vision ◽  
Optimization Problem ◽  
Vision System ◽  
Field Of View ◽  
Computation Complexity ◽  
Constrained Optimization Problem ◽  
Projection Model ◽  
Nonlinear Constrained Optimization ◽  
Stereo Vision System ◽  
Dynamic Hybrid

By combining the advantages of 360-degree field of view cameras and the high resolution of conventional cameras, the hybrid stereo vision system could be widely used in surveillance. As the relative position of the two cameras is not constant over time, its automatic rectification is highly desirable when adopting a hybrid stereo vision system for practical use. In this work, we provide a method for rectifying the dynamic hybrid stereo vision system automatically. A perspective projection model is proposed to reduce the computation complexity of the hybrid stereoscopic 3D reconstruction. The rectification transformation is calculated by solving a nonlinear constrained optimization problem for a given set of corresponding point pairs. The experimental results demonstrate the accuracy and effectiveness of the proposed method.

Hybrid enhanced and synthetic vision system architecture for rotorcraft operations

2002 ◽  
Author(s):  
Norah K. Link ◽  
Ronald V. Kruk ◽  
David McKay ◽  
Sion A. Jennings ◽  
Greg Craig
Keyword(s):  
System Architecture ◽  
Vision System ◽  
Synthetic Vision

Alaskan flight trials of a synthetic vision system for instrument landings of a piston twin aircraft

1999 ◽  
Author(s):  
Andrew K. Barrows ◽  
Keith W. Alter ◽  
Chad W. Jennings ◽  
J. D. Powell
Keyword(s):  
Vision System ◽  
Synthetic Vision
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