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
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 […]
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 […]
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 […]
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 […]
Brain injury score (BIS)
Our colleague Debasis reconstructed 70 well-documented head injuries of different origins using an existing finite element head model with the help of Visual Performance Solution (VPS), which is used to precisely predict the corresponding head injuries. He then compares these values with the results of established injury prediction criteria (head injury criteria [HIC] and brain […]
