CoreAVI supports safe autonomous systems deployment

The economic and social norms favour solutions with increased autonomous technology that interact directly with people. When it comes to the use of drones, collaborative robots, and driverless transportation systems, as well as in factories and warehouses, the obstacle becomes the safety of the technology. The challenge is to engineer complex, adaptable autonomous systems that can consistently operate safely.

The scale of the safety problem dramatically increases as engineers look to move from prototypes and small fleets to large-scale mass deployment. A lack of proven safety could prevent autonomous technologies from ever truly establishing themselves. The autonomous world demands a fusion between traditional safety engineering and statistical approaches. Safety cannot be an afterthought added into an autonomous system but must be one of the fundamental design elements present from day one of development.

Safety critical implementation of their graphics and compute driver

CoreAVI has developed a safety critical graphics and compute driver called VkCore SC, which is aligned with the new Vulkan SC API from the Khronos Group. VkCore SC is designed from the ground up for high performance and flexibility and offers the option for ISO 26262 ASIL D, RTCA DO-178C/EUROCAE ED-12C certification up to DAL A, and IEC 61508 SIL3 certification. The driver supports multiple GPU architectures allowing the developer to migrate their safety critical software stack seamlessly across different silicon implementations, dramatically increasing flexibility, scalability and reducing the overall total cost of ownership for safety systems. VkCore SC is the foundation of CoreAVI’s Platforms for Safety Critical Applications, addressing the needs of any safe graphics and compute applications across all market verticals.

VkCoreVX SC is CoreAVI’s safety critical implementation of OpenVX 1.3, the Khronos Group’s OpenVX industry standard API that provides a feature set for implementing and deploying neural networks in safety critical environments. It is the backbone of CoreAVI’s artificial intelligence and computer vision platform for safe autonomy. It is built on top of CoreAVI’s safety critical Vulkan SC implementation, providing both graphics and compute capabilities within the same safety critical framework. The computer vision subset provides algorithms for performing crucial pre-processing and post-processing tasks on the sensory data streams. This collection of algorithms and neural network inferencing engines provide a true safety certifiable software stack that facilitates powerful computer vision executing on modern GPUs.