![]() ![]() We are currently adding support for the Renesas R-Car V3H, which contains four ARM Cortex-A53 cores (and no ARM Cortex-A57 cores) and an additional image processing processor. You can install Apex.OS on much smaller systems, but this is the smallest one we have tested extensively so far, and which is also powering our vehicle. The R-Car H3 contains just four ARM Cortex-A57 cores and four ARM Cortex-A53 cores and is the smallest ECU for which our customers have requested support. In terms of compute hardware, we showed Apex.OS running on a Renesas R-Car H3 and on a Quanta V3NP at CES 2020. What's the minimum viable vehicle that I could install Apex.OS on and have it drive autonomously? By adopting Apex.OS, we enable them to focus on developing these differentiators. Organizations will differentiate themselves through performance, discrete features, and other product capabilities. We enable customers to focus on their application without having to worry about the safety of the underlying components. Just like iOS SDK provides an SDK for iPhone app developers enabling them to focus on the application, Apex.OS provides an SDK to developers of safety-critical mobility applications.Įvery autonomous mobility system deployed into a public environment must be safe. ![]() So if every autonomous vehicle company started using Apex.OS, those companies would still be able to develop different capabilities?Īpex.OS is an SDK for autonomous driving software and other safety-critical mobility applications. The algorithmic components re-use the open architecture which is currently being built in the open source Autoware.Auto project. These components make use of Apex.OS APIs, but are available separately, which allows customers to assemble a customized full software stack from building blocks such that it exactly fits their needs. In addition, we are starting to work with other algorithmic component suppliers to integrate Apex.OS APIs into their software. We have built an automotive-grade 3D point cloud/lidar object detection and tracking component and we are in the process of building a lidar-based localizer, which is available as Apex.Autonomy. Apex.OS enables customers to build their full stack based on their needs. The components enable customers to focus on building their specific applications without having to worry about message passing, reliable real-time execution, hardware integration, and more.Īpex.OS is not a full stack. In a nutshell, Apex.OS is an SDK for autonomous driving software and other safety-critical mobility applications. Jan Becker: Apex.OS is a fork of ROS 2 that has been made robust and reliable so that it can be used for the development and deployment of highly safety-critical systems such as autonomous vehicles, robots, and aerospace applications. It promises to help autonomous carmakers shorten their development timelines, and if it has the same effect on autonomous cars as ROS has had on robotics, it could help accelerate the entire autonomous car industry. ROS provides the groundwork for researchers and companies to build off of, so that they can focus on the specific problems that they’re interested in without having to spend time and money on setting up all that underlying software infrastructure first.Īpex.AI’s Apex OS, which is having its version 1.0 release today, extends this idea from robotics to autonomous cars. In robotics, the Robot Operating System (ROS) has offered an open-source solution for many of these challenges. Things like, how do you set up a reliable network inside of your vehicle? How do you manage memory and data recording and logging? How do you get your sensors and computers to all talk to each other at the same time? And how do you make sure it’s all stable and safe? Unfortunately, if you want to make self-driving cars, there’s all kinds of other stuff that you need to get figured out first, and much of it is really difficult but also absolutely critical. The facets of autonomous car development that automakers tend to get excited about are things like interpreting sensor data, decision making, and motion planning.
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