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FEY Automotive Bumper Mounting Kit Compatible With 1984-1988 Mit
FEY Automotive Bumper Mounting Kit Compatible With 1984-1988 Mit
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Make sure this fits by entering your model number.
New Aftermarket Automotive Part
Features FEY Rear Bumper Mounting Kit with Hardware. This mounting kit has minor surface rust from storage, as pictured.
Part Number: 94400
Compatible with 1986-90 Mitsubishi Mighty Max, 1984-88 Toyota Pickup, 1986-90 Dodge Power Ram 50
Technical Support Provided by 1 Factory Radio
FEY Automotive Bumper Mounting Kit Compatible With 1984-1988 Mitsubishi Toyota Dodge 94400. FEY Rear Bumper Mounting Kit with Mounting Hardware Fits -- 1984 1985 1986 1987 1988 1989 1990 -- Mitsubishi Toyota Dodge Mighty Max Pickup Power Ram 50 Part Number: 94400 ** New Aftermarket ** - Surface Rust From Storage - We purchased the inventory of an 80 year old auto parts business. The parts that we acquired are in various conditions. These items have been stocked away for many years, out of public view. No extra charge for DUST! This New Aftermarket FEY Automotive Universal Rear Bumper Mounting Kit with Mounting Hardware Fits 1986-90 Mitsubishi Mighty Max, 1984-88 toyota Pickup, 1986-90 Dodge Power Ram 50. The part number is 94400. This mounting kit has minor surface rust from storage, as pictured. Please verify that this is the part you require before purchase.
FEY Automotive Bumper Mounting Kit Compatible With 1984-1988 Mit
In mid-February, IVC’s post doc Nils Bury met with ESA astronaut Luca Parmitano in Cologne for a series of tests concerning Canadian Space Agency’s project “VECTION” (led by Prof Laurence Harris, York University).
ESA astronaut Luca Parmitano and H-BRS researcher Dr. Nils Bury
The findings might help the astronauts on the ISS ...
In Augmented Reality, real-world objects are enhanced ("augmented”) with additional information. Usually, this occurs by means of graphically overlaying information over real-world footage. In the project “Multisensory View Management for Augmented Reality”, researchers are looking into the potential of adding further information by extending graphical cues with audio and tactile ...
The Department of Computer Science and the Institute of Visual Computing (IVC) are glad to welcome a visiting researcher from our project partner in Croatia.Mirela Kundid Vasić
Mirela Kundid Vasić is a third year PhD student at the University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture. Her ...
Who and when?
Prof. Dr. Bernd Fröhlich, from the Bauhaus-Universität Weimar is going to visit our University on Thursday, December 12th 2018. His talk will start at 4 pm in room C 115.
Topic: Beyond Pretty Pictures: Computer Graphics as a Tool for Forward and Inverse Problems
Immersive telepresence allows distributed groups ...
Gravity experiments of IVC.
Our project SMUG (Self Motion Under Gravity) was featured in a newspaper article in mid October 2019. Read it here (in German)!
Nils Bury (IVC, Hochschule Bonn-Rhein-Sieg University of Applied Sciences) and Michael Jenkin (York University) wearing VR headsets for a series of tests in zero gravity. Picture: ...
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Welcome to the website of the Institute of Visual Computing at the Bonn-Rhein-Sieg University of Applied Sciences.
The field of Visual Computing covers a wide range of applications, generally related to computer environments with a visual paradigm that enable interaction and control.
Visual computing includes virtual, augmented and mixed reality as well as computer graphics, computer vision and similar fields. Technologies from these areas can open completely new perspectives in terms of analysis, creativity, interaction, decision-making and manufacturing in many industrial, research, education and training sectors.
Our main research fields include:
Targeting Human Potential: Health, VR & Therapy, Low Latency Rendering, Photorealistic Rendering, Multi sensory interaction
Exploiting Human Limitations: Perception driven Visualisation, Video Forensic
Human Behaviour: Human Motion Analysis
Digital Learning, Live Sciences & Education: Scientific Visualisation/VR/AR For Research and Education, Big Data, Machine Learning, Astronomy, Engineering Simulation, Hyperspectral Imaging