Autonomous Vehicle

Eclipse Muto serves as an adaptive framework and orchestrator for dynamically composable ROS software stacks, making it suitable for autonomous vehicles and robots. By utilizing lightweight models that represent the composition of ROS constructs such as nodes, topics, and services, Muto enables dynamic reconfiguration and modification of the ROS runtime environment. The recent updates to Muto encompass significant enhancements, including improved features and the establishment of a more robust and maintainable infrastructure, along with ROS2 support.

Experience level:

Beginner

Automotive & Mobility

Eclipse Muto

Naci Dai (eteration A.S.)

Deniz Memis (Eteration A.S)

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

Experience level:

Beginner

Automotive & Mobility

The Theory Of Everything: Unifying for Data in Motion, Data at Rest and Computations

Angelo Corsaro (ZettaScale Technology SARL)

Julien Enoch (ZettaScale Technology SARL)

Olivier HECART (ADLINK Technology)

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.

Experience level:

Beginner

IoT & Edge

High Speed Autonomous Driving with Autoware ROS 2 CycloneDDS #iac2021 #becauseracecar

Joe Speed (ADLINK Technology)

Tom Panzarella (Box Robotics, Inc.)

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.

Experience level:

Intermediate

IoT & Edge

Autonomous driving development with minimal programming required

Daechul Park (Seoul National University)

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.

Experience level:

Beginner

Tools & IDEs