Using Artificial Intelligence to Bring Accurate Real-Time Simulation to Virtual Reality

2019 ◽  
pp. 141-163
Author(s):  
Deepak Kumar Sharma ◽  
Arjun Khera ◽  
Dharmesh Singh
Keyword(s):  
Artificial Intelligence ◽  
Virtual Reality ◽  
Real Time ◽  
Real Time Simulation ◽  
Time Simulation

Real-Time Simulation of Bleeding and Smoke Effects in Virtual Reality Environment

2013 ◽  
Author(s):  
Yuit Fun Eng ◽  
Yi Su ◽  
Chi Wan Lim ◽  
Gillian Maria Ng ◽  
Senthil Kumar Selvaraj ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Real Time ◽  
Virtual Reality Environment ◽  
Real Time Simulation ◽  
Time Simulation

Real-Time Simulation and Visualization Architecture With Field Programmable Gate Array (FPGA) Simulator

2010 ◽  
Author(s):  
Manoj Karkee ◽  
Madhu Monga ◽  
Brian L. Steward ◽  
Joseph Zambreno ◽  
Atul G. Kelkar
Keyword(s):  
Virtual Reality ◽  
Real Time ◽  
Dynamic Model ◽  
Integration Time ◽  
Time Step ◽  
Road Vehicle ◽  
Real Time Simulation ◽  
Vehicle System ◽  
Time Simulation ◽  
Field Programmable

Real-time simulation of dynamic vehicle system models is essential to facilitate advances in operator and hardware in the loop simulation and virtual prototyping. Real-time virtual reality-based simulation enables users to visualize and perceive the effect of their actions during the simulation. As model complexity is increased to improve the model fidelity, the computational requirements will also increase, thus increasing the challenge to meet real-time constraints. A distributed simulator architecture was developed for off-road vehicle dynamic models and 3D graphics visualization to distribute the overall computational load across multiple computational platforms. This architecture consisted of three major components: a dynamic model simulator, a virtual reality simulator, and an interface to controller and input hardware devices. The dynamic model simulator component was developed using Matlab/Simulink Real Time Workshop on a PC and also using Field Programmable Gate Arrays (FPGA), which offered a highly parallel hardware platform. The simulator architecture reduced the computational load to an individual platform and increased the real-time simulation capability with complex off-road vehicle system models and controllers. The architecture was used to develop, simulate and visualize a tractor and towed implement steering dynamics model. The model also included a steering valve subsystem which contained very high frequency hydraulic dynamics and required 10 μs integration time step for numerical stability. The real-time simulation goal was not achievable for the model with this level of complexity when the PC-based simulator was used. However, the FPGA-based simulator achieved a real-time goal taking only 2 μs to complete one integration time step.

Real-time simulation for a virtual reality-based MIG welding training system

2010 ◽  
Vol 16 (1) ◽  
pp. 45-55 ◽  
Author(s):  
Terrence L. Chambers ◽  
Amit Aglawe ◽  
Dirk Reiners ◽  
Steven White ◽  
Christoph W. Borst ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Real Time ◽  
Training System ◽  
Mig Welding ◽  
Real Time Simulation ◽  
Time Simulation

Real Time Simulation of a VCM Plant

1997 ◽  
Vol 21 (1-2) ◽  
pp. S1111-S1115
Author(s):  
P Lundstrøm
Keyword(s):  
Real Time ◽  
Real Time Simulation ◽  
Time Simulation
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