Blog

Organisational setup of large companies – how do we achieve agility of small teams when we have teams of thousands of people? Software development in automotive: why can we not be as fast as consumer products?  What are the main engineering challenges due to different regulation in different countries in the autonomous and automated driving? Read more

Read more

Two advanced techniques will be explained for driving environmental recognition using millimeter-wave radar. One is the object classification based on domain adaptation technique that leverages simulation data. Accuracy to classify traffic participants such as car, pedestrian and bicycle can be improved with fewer annotated dataset by fusing experimental and simulation data with domain adaptation technique.Read more

The German Research project AVEAS brings together partners from industry and academia, to systematically address the challenge of critical driving situations and how to build a relevant set of real-world data as well as simulated data. Any modern autonomous driving function need to be tested and validated to ensure maximum of safety for all trafficRead more

Discover who is joining the conference and why. To warm you up for the conference we invite you to get to know your conference peers. Have your business cards ready.Read more

The official registration for the conference: Pick up your name batch, take a Polaroid photo for the Auto,AI Community Wall, use your personalized matchmaking app, make first contacts & plan meetings and get started. Welcome to the annual Auto.AI Europe!Read more

In recent years, parking cameras have become increasingly popular in the automotive industry as an aid for drivers to park safely and efficiently. As part of this process, new technologies, such as Neural networks and AI are also integrated into parking solutions. While autonomous vehicles on highways and in cities are receiving more attention, parkingRead more

Get coffee, get snacks, make connections and talk with your peers – and have the chance to actively participate in product and service demos on the expo floor.Read more

The success of AD/ADAS largely depends on perception sensors for observing the drivable road conditions, to enable accurate decision making and optimal motion control. One primary component of drivable environment conditions is the road surface condition that varies largely with inclement weather, ground surface texture-based irregularities, and road debris. Climate and accident data collected inRead more

In this talk we will explore how AI-assisted features in dSPACE toolchain can benefit in the development and testing of perception and autonomous driving systems. How can you find relevant data in the Petabytes recorded during AV development? How can you identify data gaps, and fill them, using simulation? The audience will learn: The dSPACERead more