White paper library
A middleware journey from microcontrollers
to microprocessors
More and more modern automotive systems move to powerful, centralized POSIX systems instead of AUTOSAR Classic-based microcontrollers. Porting established software architectures leads to systems that suffer from poor performance.
Your takeaways from this white paper:
Where AUTOSAR Classic and ROS 2 differ in execution and communication.
The pitfalls that lead to poor performance.
The mechanisms provided by Apex.OS and Apex.Middleware to address the performance issues.
AUTOSAR adaptive on zero-copy steroids
Discover how the inter-process communication for Automotive ECUs can be realized with the open-source middleware Eclipse iceoryx™, and more on the extensions provided with Apex.Middleware that enables the usage of iceoryx in safety-critical systems.
Your takeaways from this white paper:
How iceoryx has evolved to an open-source middleware during the AUTOSAR Adaptive standardization.
How iceoryx can be integrated into automotive communication stacks.
The benefits of iceoryx and the extensions made to it in Apex.Middleware.
Real-time LIDAR object detection on embedded hardware — from open-source projects to production-grade implementation
Learn how our partner driveblocks benefits from the lower and more predictable latency on their LIDAR perception stack by integrating with Apex.OS.
Your takeaways from this white paper:
-
How driveblocks’ LIDAR perception stack built on top of Apex.OS can outperform others.
-
Why Apex.OS - a fork from ROS 2 is the perfect match for the task of lowering data transport latency.
-
What implementations on Apex.OS and Apex.Middleware leads to lower latency.