Advanced methods for safe visualization on automotive displays,Journal of the Society for Information Display

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Advanced methods for safe visualization on automotive displays
Journal of the Society for Information Display ( IF 1.7 ) Pub Date : 2020-04-29 , DOI: 10.1002/jsid.909
Benjamin Axmann ₁ , Frank Langner ₁ , Karlheinz Blankenbach ₂ , Matthaeus Vogelmann ₂ , Adrian Gaisberg ₂ , Lukas Strobel ₂ , Jan Bauer ₃

Affiliation

Camera Monitor Systems (CMSs), for example, for backup cameras or mirror replacements, become increasingly important and already cover safety aspects such as guaranteed latency and no frame freeze. Today's approaches deal only with supervision of the digital interface, LCD backlight, and power supply. This paper introduces methods for advanced safety monitoring of panel electronics and optical display output that aim to enable future CMS based automotive use cases. Our methods are based on correlation of physical measurements with predicted values derived from a corresponding display model. This model was made via calibration measurements and many test patterns. Correlation of the monitoring results with predicted values corresponds to the probability that the RGB data are shown as intended. This implies that an overlying system, an Automotive Safety Integrity Level (ASIL) Prepared Video Safety System (APVSS), ensures that only safety verified RGB data are provided to the panel electronics. In case of failures, our methods enable a safe system state, for example, by deactivating the panel. An additional challenge is to allow graceful degradations, a safe but slightly degraded image may provide a better customer experience compared with no information. We successfully verified our approach by a fully functional prototype and extensive evaluation towards “light‐to‐light” (camera to display output) supervision.

中文翻译：

在汽车显示器上进行安全可视化的高级方法

例如，用于备用摄像机或镜子更换的摄像机监控系统（CMS）变得越来越重要，并且已经涵盖了安全方面的内容，例如保证的等待时间和无帧冻结。当今的方法仅涉及数字接口，LCD背光和电源的监控。本文介绍了用于面板电子设备和光学显示器输出的高级安全监控方法，旨在实现未来基于CMS的汽车用例。我们的方法基于物理测量值与从相应显示模型得出的预测值的相关性。该模型是通过校准测量和许多测试图案制成的。监视结果与预测值的相关性对应于按预期显示RGB数据的概率。这意味着上层系统，汽车安全完整性等级（ASIL）编写的视频安全系统（APVSS）确保仅将经过安全验证的RGB数据提供给面板电子设备。万一发生故障，我们的方法可以使系统处于安全状态，例如通过禁用面板。另一个挑战是允许正常降级，与无信息相比，安全但略有降级的图像可能会提供更好的客户体验。我们通过功能齐全的原型和对“光到光”（从摄像机到显示器的输出）监控的广泛评估成功验证了我们的方法。另一个挑战是允许正常降级，与无信息相比，安全但略有降级的图像可能会提供更好的客户体验。我们通过功能齐全的原型和对“光到光”（从摄像机到显示器的输出）监控的广泛评估成功验证了我们的方法。另一个挑战是允许正常降级，与无信息相比，安全但略有降级的图像可能会提供更好的客户体验。我们通过功能齐全的原型和对“光到光”（从摄像机到显示器的输出）监控的广泛评估成功验证了我们的方法。

更新日期：2020-04-29

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