Introduction After the last post of this blog series we now have a very nicely distributed and scalable 3D Perception demo for Autoware.Auto. In this blog post we will cover...
Introduction Following our previous work to show how to distribute Autoware.Auto’s modules to complete the 3D Perception demo it comes as a natural question to ask about the benefits of...
Introduction In our previous blog post we showed how to we can use Kubernetes (k8s) to create different deployments to replay and echo a rosbag2 data file. Though it was...
Introduction In our previous blog post we showed how to setup a Kubernetes (k8s) cluster using a laptop as the master node and Autocore’s PCU as the worker node to...
Introduction Xenomai is a Free Software project in which engineers from a wide background collaborate to build a robust and resource-efficient real-time core for Linux© following the dual kernel approach,...
Introduction Kubernetes (k8s) is an open-source system for automating deployment, scaling, and management of containerized applications. Kubernetes allows us to easily handle multiple distributed applications that might need to be...
Introduction In our previous post of the “96boards: Autoware everywhere” blog series we introduced AutoCore’s PCU as the first heterogeneous hardware platform of the Autoware.IO project. In this post we...
Introduction We are back with a new entry of our “96boards: Autoware everywhere” blog series. In previous entries we showed how to run a subset of Autoware’s features due to...
Introduction We are back with a new entry of our “96boards: Autoware everywhere” blog series. In this post we outline how to set up Cyclone DDS as the default implementation...
Introduction In this blog post we will look at how we can bind certain Autoware.AI nodes to specific cores in our hardware. This is of special interest when we use...
Introduction In our previous entry we showed how to get Autoware.AI running on the Qualcomm® Robotics (rb3) Dragonboard-845c Development Platform. In this post we will look at Autoware.Auto and how...
Introduction Following our previous entries of the “96boards: Autoware everywhere” blog series where we focused on the Hikey970 we now move on to a different board, the Qualcomm® Robotics (rb3)...
Introduction We have so far deployed Autoware.AI and Autoware.Auto on a Hikey970. It is now time to bridge both software stacks together so we can use the improved software of...
Introduction In our previous blog we showed how to run a subset of Autoware.AI’s components on the Hikey970. For this instance we will look at getting Autoware.Auto working in the...
Introduction This is the first entry of our “96boards: Autoware everywhere” blog series. With this blog series we will show how to use 96boards hardware to run different components of...
Introduction This is the fourth entry of our 96Boards: Real time and ROS2 series. On the previous ones we have enabled a real time kernel on the Hikey970 and on...
Introduction In this blog we are expanding the range of 96boards we can use for real time software development. Following on the Hikey970 real time enablement we will focus on...
Introduction In our previous blog we saw how to get a real-time enabled kernel on the Hikey970 running Ubuntu 18.04. Building on top of it this time we will get...
Real Time enablement on 96boards The following is the first on a series of blogs targeting the enablement of real time capabilities on a range of 96boards. We’ll kick off...
