Be it autonomous driving, connectivity or mobile services that complement the actual driving: EDAG deals with changes in mobility behaviour and develops the important engineering competencies for these business models. Thus, we not only develop innovative vehicle concepts, but also mobility concepts and software solutions that are directly accepted in the market and incorporated into a variety of customer projects.
Traffic jams in inner cities, consumers turning away from their own cars, and driving bans to protect the climate have a significant impact on personal mobility as well as traffic and urban planning. This is reflected in modern mobility concepts such as car sharing, ride sharing, car pooling and micro-mobility.
New, forward-thinking vehicle technologies like CASE (i.e. Connected, Autonomous, Shared, Electrified) are entering the market almost simultaneously. With their partly disruptive character, they require new engineering skills. As an innovation-driven engineering service provider, we recommend ourselves as a sparring partner for our customers in the technology sector at an early point in time.
Business model innovations are becoming increasingly important alongside incremental innovations in the core business. We help our customers develop further and strengthen their competitiveness and help idea providers to position themselves.
CASE vehicles (Connected, Autonomous, Shared, Electrified) sometimes require completely new vehicle architectures. We are driving the development of Purpose Design forward with the
Development of new vehicle architectures
Architecture for new mobility concepts
In economical small series production with highest quality requirements and IT-supported management of the variant diversity, we see many possibilities to develop and manufacture individual and highly specialised mobility solutions economically in small batches.
With EDAG Electronics, we consolidate our electronics, hardware and software competencies under one strong brand.
For assisted and automated driving, we are developing solutions to increase the availability of camera-based sensor data, including using AI technologies - making driving functions more robust with better input data.
Development tools for rapid evaluation of vehicle-based sensor systems, for example, in detecting objects, developers enable early achievement of a higher degree of maturity of driving functions - sensor raw data fusion is the key.
In order to develop sustainable vehicles, we need to understand the world of tomorrow - especially the different requirements of drivers and passengers.
This requires empathy from developers and a deep understanding of user needs. Knowing this is the key to solutions and applications that inspire. For example, virtual assistants for the driver in case of warning lights, automated payment systems (e.g. in the parking garage), parking reservations, etc.