Mobileye EyeQ Kit SDK for Advanced Safety and Driver-Assistance Systems

Mobileye has launched the EyeQ Kit – its first software development kit (SDK) for the EyeQ® system-on-chip that powers driver-assistance and future autonomous technologies for automakers worldwide. Built to leverage the powerful and highly power-efficient architecture of the upcoming EyeQ®6 High and EyeQ®Ultra processors, EyeQ Kit allows automakers to utilize Mobileye’s proven core technology, while deploying their own differentiated code and human-machine interface tools on the EyeQ platform.

Through EyeQ hardware and software, automakers have access to a broad set of Mobileye solutions, including computer vision, REM™ crowdsourced mapping, and RSS-based driving policy. Using EyeQ Kit, automakers can further leverage the power of Mobileye’s system-on-chip to augment the advanced driver functions with a look and feel that is unique to their brands. And as the visual demands for interaction and communication between drivers and vehicles grows more complex, EyeQ Kit gives automakers a new path to tailor critical information flows. EyeQ Kit will help support features such as surround visualization, automated lane-keeping, and road-sign recognition through more advanced augmented reality displays.

OpenCL

EyeQ Kit is based on standard APIs – such as OpenCL and TensorFlow – and X86 development platforms. By “speaking” these common languages, EyeQ Kit allows OEMs to develop their own applications conveniently and efficiently, without the need for specialized skills or specific hardware vendors. This, of course, carries the potential to reduce development costs, accelerate time to market, and enable hardware-vendor flexibility for the full development cycle – from functional bring-up to deployment and performance-tuning.

From general-purpose CPU cores to high compute-dense accelerators – including deep-learning neural networks – EyeQ has a scalable and modular architecture that seeks to achieve high performance while offering a suitable power efficiency to deploy artificial intelligence at the edge for automotive applications.