GPU Based Infrared Signature Modeling and Scene Si mulation

Kavak, Çağlar
Akar, Gözde


GPU based infrared signature modeling and scene simulation /
Kavak, Çağlar; Akar, Gözde; Akyüz, Ahmet Oğuz; Department of Electrical and Electronics Engineering (2014)
The need of a fast and high fidelity scene simulation system is important for the development of modern infrared (IR) imaging systems. The performance testing of these systems is expensive and also depends on environment conditions. However, computer based systems can provide a cost effective alternative to field trials. Ray tracing provides physical accuracy and photo realism for scene generation. However, it has computationally intensive nature and conventionally used for non-real time applications. The d...
GPU based real time stereoscopic ray tracing
Es, Alphan; İşler, Veysi (2007-11-09)
Over the last couple of years graphics processing units (GPU) found in graphics cards evolved into general purpose parallel stream processors. This evolution allows for using GPUs not only for traditional rasterization based rendering but also for global illumination techniques including ray tracing. Fast generation of stereo images is very important for virtual reality applications. Rendering stereo image pairs for left and right eye separately doubles the frame time. This might be a problem for interactiv...
GPU Based Fast Free-Wake Calculations For Multiple Horizontal Axis Wind Turbine Rotors
Turkal, M.; Novikov, Y.; Usenmez, S.; SEZER UZOL, NİLAY; Uzol, Oğuz (2014-06-20)
Unsteady free-wake solutions of wind turbine flow fields involve computationally intensive interaction calculations, which generally limit the total amount of simulation time or the number of turbines that can be simulated by the method. This problem, however, can be addressed easily using high-level of parallelization. Especially when exploited with a GPU, a Graphics Processing Unit, this property can provide a significant computational speed-up, rendering the most intensive engineering problems realizable...
GPU algorithms for Efficient Exascale Discretizations
Abdelfattah, Ahmad; et. al. (2021-12-01)
In this paper we describe the research and development activities in the Center for Efficient Exascale Discretization within the US Exascale Computing Project, targeting state-of-the-art high-order finite-element algorithms for high-order applications on GPU-accelerated platforms. We discuss the GPU developments in several components of the CEED software stack, including the libCEED, MAGMA, MFEM, libParanumal, and Nek projects. We report performance and capability improvements in several CEED-enabled applic...
GPU-accelerated adaptive unstructured road detection using close range stereo vision
Özütemiz, Kadri Buğra; Koku, Ahmet Buğra; Konukseven, Erhan İlhan; Department of Mechanical Engineering (2013)
Detection of road regions is not a trivial problem especially in unstructured and/or off-road domains since traversable regions of these environments do not have common properties unlike urban roads or highways. In this thesis a novel unstructured road detection algorithm that can continuously learn the road region is proposed. The algorithm gathers close-range stereovision data and uses this information to estimate the long-range road region. The experiments show that the algorithm gives satisfactory resul...
Citation Formats
Ç. Kavak and G. Akar, “GPU Based Infrared Signature Modeling and Scene Si mulation,” 2016, Accessed: 00, 2021. [Online]. Available: