A part of FEV Group
Assisted Driving & Automated Mobility
At FEV.io, innovation drives us forward, we engineer peace of mind and safety is our destination!
Why us?
We develop innovative solutions for assisted driving & automated mobility systems that ensure a competitive lead for our customers and partners, driving society towards a safer and smarter mobility landscape.
Scenario-based system development
Our model-based, scenario-driven systems engineering approach enables us to manage system complexity holistically, all the way down to the component level.
Function and software development
Leveraging our extensive experience and passion for innovation, we support our customers through every stage of developing their ADAS and AD functions and software.
Testing, calibration and validation
We provide comprehensive, holistic support, covering test management, virtual testing, and real-world environment testing.
Ready? Let’s plan your next project!
We solve problems
System development
Problem
High system complexity in an unpredictable environment – assisted driving & automated mobility features interact across all vehicle domains, infrastructure, road entities, and the surrounding environment.
Solution
Scenario- and use case-based development for the optimum system layout.
Software development
Problem
To move closer to zero fatalities in road transport, an increasing number of vehicles must be equipped with assisted driving & automated mobility functions.
Solution
Algorithm development for assisted driving & automated mobility applications, integrated into complex control platforms.
Testing and validation
Problem
Demanding development speed and stringent validation requirements call for new methods, processes, and tools to manage system complexity holistically and efficiently across the entire development lifecycle.
Solution
Holistic development and implementation of physical and virtual validation methods.
Our offering
Scenario- and use-case-based development for the optimum system layout
• Benchmarking
• (Model-based) Systems engineering
• Use case definition
• Architecture definition
• Component and function specification
• Vehicle integration
Algorithm development for assisted ariving and automated mobility applications, integrated in complex control platforms
• Sensing and environment perception
• Situation analysis and planning
• Control and actuation
Holistic development and implementation of physical and virtual validation methods
• Define representative scenario space and relevant parameters
• Derive tailored test strategy
across several test levels
• Route planning tool
• Virtual test environment
• Wide range XiL-platforms
• Co-simulation approach
