The Future of Mobility

Years ago, many automotive companies – new and incumbent – promised a rapid rise in autonomous mobility. Time has proven that mastering autonomous vehicles is a task much harder than initially thought. There are a few core elements that are often overlooked but are required to make autonomous driving a reality.

An average AV would generate around 19 terabytes of data per hour, earning them the title “data centers on wheels". What is the status quo regarding data privacy? How can these vast amounts of data be protected while not hindering the advance of AV technology development?

There are currently two different approaches to achieving fully autonomous driving. Either building up from level 1 to level 5, like many OEMs aim to do right now, or diving right into Level 4 autonomy, as currently pursued by the tech companies. What are the advantages of each approach and what is their current status? Is it possible to bridge the two approaches?

The world is moving towards adopting autonomous vehicles at a fast pace, but are we leaving environmental concerns in our wake? This blog will discuss how we can envision a future that is both autonomous and sustainable

Since Elon Musk claimed that LiDAR is not needed for autonomous driving, there has been a very lively discussion in the industry. Will it work without LiDARs? Are cameras enough to safely bring autonomous driving onto the streets?

Cars can already park themselves today - but what comes next? Automated highway driving or the possibility of taking a nap at the wheel? What does German legislation look like and what do the users want?

For vehicles to be able to drive autonomously, they must perceive their surroundings with the help of sensors: An overview of camera, radar, ultrasonic and LiDAR sensors.

The development stages up to the autonomous vehicle are divided into five levels. What does this classification look like and how are the individual levels of autonomous driving characterized?