Automotive Software Development | Munich

This edition of the meetup will be hosted in Munich!

The Automotive Software Development Meetup comes to Munich! With multiple interesting talks, this event is a great chance to bring together corporates, SMEs and start-ups from the vibrant automotive ecosystem in Munich.

Join us for the talks below and to discuss how we want to shape the future of software development in automotive applications. This covers all aspects, from the software-defined vehicle, to infotainment, powertrain, or autonomous driving!

Agenda:
18:45 - Open Doors
19:15 - Michael Lihs / Thoughtworks on "Challenges of Continuous Integration for automotive software"
19:45 - Professor Johannes Betz / TUM on "Operate everywhere, every time under every condition - Autonomous software features for for the next generation of autonomous vehicles"
20:15 - Snacks & drinks

Challenges of Continuous Integration for automotive software

In this talk we want to share some of our insights into current challenges of automotive software development when it comes to automation, testing and integration. We introduce our ideas around Continuous Integration and then discuss enablers and distractors that we find in the area of automotive software development. The presentation covers both technical and organisational challenges and aspects.

Michael Lihs is an infrastructure consultant at Thoughtworks that spent the last couple of years helping automotive organisations to improve their development workflows and developer experience - mostly around CI/CD related topics.

Operate everywhere, every time under every condition - Autonomous software features for the next generation of autonomous vehicles

In this talk, we will discuss the challenges associated with operating autonomous vehicles in unstructured and uncertain environments. We will explore the importance of autonomous software features in enabling robots to operate effectively in such environments. The autonomous vehicle platforms have become increasingly popular in recent years, especially in the transportation and logistics industry. However, they face numerous challenges in navigating and operating in unstructured and uncertain environments such as congested city streets.

To overcome these challenges, autonomous software features play a critical role in enabling robots to operate everywhere, every time, and under every condition. These features include advanced perception and sensing capabilities, localization and mapping, obstacle detection and avoidance, and decision-making algorithms. We will discuss how these autonomous software features work together to enable robots to navigate complex environments, avoid collisions, and make intelligent decisions in real-time. We will also explore the benefits of using these features, including increased efficiency, reduced operational costs, and improved safety.

Professor Johannes Betz is Head of the Autonomous Vehicle Systems Lab at Technical University of Munich.