VAIVA GmbH - Safe Mobility

More in-depth details, more findings: accident research optimizes 3D measurements

Our accident research team is regularly on the road, gathering information and developing corresponding 3D street models, always with the goal of achieving the best possible results for further development activities in order to reduce accident damage to nearly zero. We’ve been extremely well-positioned so far, but we want more.

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Our focus: Vehicle safety. End-to-end.

The next couple of years in our industry will be decisive. They will be hard work. They will be awesome - big challenges as well as big impact ahead of us. By: Ole Harms

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Machine learning for radar-based systems

What does the area of vehicle safety look like, both today and in the future? Which way is drivable – and which isn’t? What kind of objects or obstacles must vehicle systems watch out for? What kind of predictions can be made regarding the movement of other traffic participants? These are all questions that our […]

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VAIVA is investing in sustainable energy for the future

Sophisticated technologies for a safe future are our core expertise. That’s why we are passionately working on our goals. In order to maintain this power over the long-term, we feel it’s important to handle all of our resources in a responsible manner. For that reason “Volkswagen Natural Power” has been providing us the required energy […]

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Safe accident investigations when high-voltage vehicles are involved

Fortunately, the number of electric vehicles is steadily rising. At VAIVA (former: ASTech) we are deeply involved in dealing with these new drive train concepts in cases of potential damage. In collaboration with AUDI AG and WAW GmbH, we developed a process for working with high-voltage models, which contains detailed protocols and workflows that guarantee […]

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AMNESIA – our anonymization software

AMNESIA (automated methods for numerical, easy, secure and irreversible anonymization) is an in-house developed software based on a multistage algorithm for detecting and anonymizing faces and license plate numbers found on photos (pixilated). Automatically-generated suggestions can also be edited. AMNESIA was created as part of a master’s thesis by the accident research/interior concepts team under […]

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