Eclipse Muto
Eclipse Muto provides an adaptive framework and a runtime platform for dynamically composable model-driven ROS software stacks on autonomous vehicles and robots in general
Eclipse Muto provides an adaptive framework and a runtime platform for dynamically composable model-driven ROS software stacks on autonomous vehicles and robots in general
The idea of finding a theory of everything providing the minimal set of abstractions for dealing with data in motion, data at rest and computations, at any scale, has always fascinated and to some extent obsessed us. We have been working on this problem for years, refined our abstractions, evolved our sensibility, and deepened our understanding of the problem — after years of sweat, we think we have possibly found the answer.
Learn how the open source community is coming together to support universities exploring high speed autonomous driving via racing including F1TENTH and Indy Autonomous Challenge #iac2021. Joe and Tom discuss the technical challenges this presents and how the open source community is rallying to help universities with this open source autonomous driving stack they can all use.
Autonomous driving research involves cooperation between engineers across fields, from control systems to machine learning. However, obtaining required programming skills to develop autonomous driving systems takes a lot of time and energy. We think that anyone with valuable knowledge should be able to contribute to development of autonomous driving technologies without going through struggles of software development.