Automated Visual Test & Measurement for Head-Up Displays

Engineered in response to OEM and supplier testing requirements (SAE; J1757-2), Radiant Vision Systems provides a comprehensive hardware/software solution to enable automated testing of head-up displays (HUD) in automotive, aerospace, and other integrations. The solution includes a high-resolution (to 43MP) photometric or colorimetric imaging system, electronic lens for automatic adjustment of camera focus and aperture, and TT-HUD™ Software with application-specific test library. The system can be integrated with robotics to automate the measurement of luminance, chromaticity, contrast, ghosting, distortion, MTF, eyebox, and more for a variety of HUD systems. Autofocus and distance calculation functions enable the system to locate virtual images at any point on the infinite plane for quick, remote setup, including locating and measuring variable-distance or AR-HUD projections and converting focal distances to real-distance units (e.g., meters). In this video, Bret Stonebridge from Radiant demonstrates how this test system enables rapid visual inspection of all optical HUD qualities.

Transcript

00:00:00 hi my name is brett and i'm from radiant vision systems so today we're going to discuss our true test head-up display software package we also have a photometer here this is a y16 with a 100 millimeter lens which uses autofocus and an electronics so we can actually measure the virtual image distance this software package was developed with

00:00:19 the help of sae society of automotive engineers we actually built this out for 1757-2 a safety standard requirement we've also worked with several oems and their suppliers to build this comprehensive test package that uses different types of resources and different types of solutions for

00:00:41 looking at dot distortion grid ghosting mtf color particle defects etc let's go ahead and jump a little bit into the software and what you'll notice here is that the software is going to communicate to the device so it's going to place the correct bitmaps or patterns that you'd like to look at

00:00:58 based on the characteristics you're looking for so for instance a white maybe we want to look at particle defects on a combiner or for a 4x4 checkerboard we're looking for contrast the white divided by the black so this is going to pass through a few bitmaps and then we're going to go into a little bit more detail

00:01:14 inside the software but what you'll notice here is all of this data is being placed on the bottom half so you can actually pass fail based on different things like you know minimum contrast how big of particles i can see so you'll notice here's a measurement of a 4x4 and then on the left side here we have

00:01:32 our sequencer so i'm going to run this and as this kind of goes through you'll notice that it's going to register the active area display it's going to place pois or run different analyses depending on what you set up here in the sequencer on the left side and then the data is also available down on the bottom so you'll notice

00:01:50 some are red some are green of course green being pass red being fail and we're just going to let it kind of process here and then we'll jump into each individual one briefly so you'll notice first is the 13 point ansi brightness looking at yet color uniformity

00:02:11 next we have the pixel defects or particle defects great benefit of using a high resolution system the next is a ibox example so we're looking to make sure that the active area is still in the eye relief zone if a head were to move then you could still see the active area so we actually do a lot of communication

00:02:30 with robotic arms as well the next is a fail so you can clearly see on the right side here that there's a missing part of the active area next we have ghosting so if i zoom in here you can actually see the real dot versus the ghosting dot typically created by a combiner then we have our contrast

00:02:51 so our black and our white and you can see our points of interest being placed on those different regions next we have our mtf so we're looking for the focus and the contrast of that active area and finally into the dot distortion grid so this looks at the neighboring distances between dots to make sure that we're not distorted

00:03:10 and what you'll notice is a few of these are red and a few are green so like i mentioned you can actually pass fail so you can set different parameters for instance here minimum distances between rows or columns because we're using a electronic lens we also have the capability to measure the virtual image distance so instead of using a paravan this camera

00:03:29 can be coupled with the metrology side of it makes it very easy so if i run this sequence what we're going to notice is the camera is going to take a few images the bitmap is going to be placed on the display and then it's actually going to spit out the correct virtual image distance and it's going to be on the bottom right there

00:03:45 and here is our virtual image distance so thank you for your time if you'd like to know more please visit radiantvisionsystems.com you