In today’s automobiles, versatile high-resolution touchpads have replaced analog gauges and knobs. Modern smart lighting adjusts to changing conditions. Radios have been replaced with multi-function, touch-sensitive infotainment displays. Generic sealed-beam and capsule headlamps have been superseded by stylish, aerodynamically-efficient, model-specific LED and HID headlamp assemblies. Head-up displays (HUDs) are becoming an automotive standard.
Early Model-T Ford vehicles didn’t even have a speedometer (their top speed was just 35 mph), but soon after, dashboards began to include multiple gages, indicators, and vehicle controls. (Fun fact: the word ‘dashboard’ originates from horse-drawn wagons and carriages, where a board at the front protected passengers from mud that was ‘dashed’ up by the horses’ hooves.)
This article introduces methods for meeting the requirements of the new SAE J1757-2 standard for head-up display measurement and outlines the advantages of automated measurement systems.
Head-up displays (HUDs) project images onto ambient real-world scenes at infinite focal distances. This unique viewing context poses a challenge for ensuring image visibility and position, especially when it comes to meeting all requirements of established quality standards. Photometric measurement of light and color is equally important as dimensional measurements for image size, distance, location, and integrity in performing comprehensive HUD evaluation to SAE standards for optical quality.
In this article, we discuss standardization of HUD measurement, and benefits of photometric imaging systems for efficiency, paired with software to enable fully-automated HUD testing to SAE standards.
Liquid crystal on silicon (LCoS or LCOS) is a microdisplay technology using a liquid crystal layer on top of a silicon backplane. The technology, a type of “spatial light modulator” (SLM), offers high resolution, contrast, and black levels compared to competing technologies such as liquid crystal display (LCD) and digital light processing (DLP).
Projecting speed, navigation, and alerts onto the car windshield—directly in the operator’s field of view—offers safety and design advantages that have made head-up displays (HUDs) the vehicle segment with the highest expected growth rate in the automotive market (Source: Mordor Intelligence, Automotive Head-up Display Market - Analysis of Growth, Trends, and Forecast (2018 - 2023)). Already introduced in several new vehicles, HUD technology is evolving rapidly.
Engineered in response to OEM and supplier testing requirements, Radiant Vision Systems provides a comprehensive hardware/software solution to enable fully automated testing of head-up displays (HUD) in automotive and other integrations.
In movies, we've all seen the dramatic air combat sequence where a pilot uses guide lines to zero in on a target before firing a weapon. Those on-screen guides are a head-up display (HUD), so called because the pilot doesn't have to look down at an instrumentation panel.
Projecting speed, navigation, and situational alerts onto the car windshield—directly in the operator’s field of view—offers safety and design advantages that have made head-up displays (HUDs) the vehicle segment with the highest expected growth rate in the automotive market.1
Head-up displays (HUDs) were a hot topic in the automotive industry in 2018, and that trend is only going to continue in the new year as more and more automakers incorporate HUDs to enhance safety and functionality of new car models.
The F-35 Gen III Helmet is the most advanced helmet-mounted display (HMD) in the world.
Take a look at Ghosting Analysis for head-up displays, one of several tests in Radiant's TT-HUD™ Software. TT-HUD provides a full suite of tests developed to address photometric measurement and visual quality inspection of virtual images produced by HUDs.
The TT-HUD module for TrueTest Software provides a test suite to efficiently perform light, color, and dimensional measurements used to evaluate the optical quality of head-up displays (HUD), including conventional, augmented reality (AR), and other HUD projection types.
Radiant technologies are thoughtfully engineered to achieve the fastest, simplest, and most accurate measurements of light, color, and surfaces. Imaging colorimeters and photometers leverage scientific-grade CCDs, high resolution, low noise, and factory calibration to ensure consistency of data across R&D to production. Utilizing photopic filters, Radiant cameras acquire absolute luminance and color information to qualify devices against human visual perception.