Are you designing an optical system with more than just a source and detector? If you answered yes, then chances are you could use the data in the Synopsys SmartStart Library.
In the early years of computing, the most common data types were text and numbers. During the last 20 years, we have seen an exponential increase in the use of multimedia data types such as images and videos. In 2017, over 1.2 trillion photos were taken with consumer electronics, and multimedia data accounts for half of the data generated and consumed worldwide. The growth of image data is a direct consequence of the dissemination of imaging systems in multiple domains, from medical systems to smart mobile devices, automotive to manufacturing, and aerospace to defense and security.
The Synopsys LucidDrive tool – part of the LucidShape product family — allows engineers to test automotive headlight models prior to manufacturing with virtual night-driving simulations. The latest LucidDrive release, version 2021.12, offers enhanced features to dynamically validate and refine pixel light headlamp models.
We are pleased to announce version 2020.12 of Synopsys’ LucidShape automotive lighting design software. In response to a growing demand for reliable surface quality and medium information, this release of LucidShape includes the SmartStart Material Library Module. The module provides ready-to-use optical properties as well as updates and extensions to material and medium definitions. LucidShape v2020.12 also includes enhancements to freeform lens design, human eye vision analysis, and headlight analysis based on Insurance Institute for Highway Safety (IIHS) guidelines.
Announcing New Release of LucidShape CAA V5 Based for Automotive Lighting Design and Visualization in CATIA
Version 2020.09 helps designers develop headlights, tail lights, and signal lights faster and more cost effectively with the new LucidShape SmartStart Material Library Module and numerous ease-of-use enhancements.
Heads-up displays (HUDs) can help reduce the safety risks caused by distracted driving.