FLEETDRIVE
PREDICATIVE CAR PERFORMANCE
OPTIMIZED DOMS SOLUTIONS
NEXT GEN VISION
In a bid to accelerate vehicle development , the BMW Group has recently began using the Monolith AI software to predict vehicle performance even before design or testing begins on new models .
According to BMW , their “ engineers can now use AI to solve previously impossible physics challenges and instantly predict the performance of highly complex systems like crash and aerodynamics tests ”.
The Monolith platform leverages valuable engineering data and machine learning to rapidly find critical new insights hidden in historic and current test data .
“ When the intractable physics of a complex vehicle system means it can ’ t be truly solved via simulation , AI and self-learning models can fill the gap to instantly understand and predict vehicle performance . This offers engineers a tremendous new tool to do less testing and more learning from their data by reducing the number of required simulations and physical tests while critically making existing data more valuable ,” said Dr Richard Ahlfeld , CEO and Founder , Monolith .
Leading European automotive technology providers , aiMotive and emotion3D , will be collaborating to provide exceptional performance Driver and Occupant Monitoring Systems ( DOMS ) solutions .
The aiWare NPU ( Neural Network Processing Unit ) will be used to accelerate aiMotive ’ s proprietary CNNs . The complete solution is now available for licensing on the Nextchip APACHE5 SoC .
“ We are excited to be partnering with aiMotive , one of the industry ’ s most innovative automated driving technology providers . Thanks to aiMotive ’ s powerful and efficient aiWare NPU plus great tools , complemented by their unique and extensive automotive software and solutions know-how , we have been able to realise the full capabilities of our CABIN EYE AI software stack quickly and easily ,” says Florian Seitner , CEO at emotion3D .
“ We believe our combined technologies enable OEMs and Tier1s to deploy the most advanced DOMS solutions faster and more cost-effectively .”
Swedish automotive technology company Veoneer will be BMW Group vehicles with camera heads for their next generation vision system for Automated Driving . The camera heads support the cooperation between BMW Group , Qualcomm Technologies , and Arriver™ .
These high definition 8 MP cameras will be placed on the rear-view mirror and can be used to monitor the forward path of a vehicle and provide reliable and accurate information to the vehicle control system .
Veoneer ’ s camera heads are adapted to the current trend of a centralized and scalable software architecture and will be an essential part of the sensor set-up required for the next generation AD platform .
“ We are excited to be part of the development of the next generation vision systems , planned to enter the market in 2025 ”, says Jacob Svanberg , CEO of Veoneer .
“ This award with camera heads to the 5th generation vision system is another proof point that Veoneer remains at the forefront of providing safe , collaborative driving solutions .”
ISSUE 36 AUGUST 2022 / WWW . AFMA . ORG . AU 25