Register for our free webinar "Efficient Development of Data Fusion Systems for Automated Driving Functions for Embedded Systems". Experts from BASELABS and Vector will show you how to generate an individual data fusion algorithm that is safety-compliant, and which runs directly on embedded systems and MICROSAR ECUs in the target vehicle. The webinar is hosted by our partner company Vector. Register now for the webinar on March 26th at 9:30 or 16:00 (Europe/Berlin).
Data fusion as part of the environmental model is one of the key components for automated driving. The performance, reliability and flexibility of this software component will have a decisive influence on the success of vehicle automation. As active members of the community, we initiate the BASELABS Data Fusion Forum. The 2nd edition takes place on September 29th-30th in Chemnitz. Last year, a selected group of international data fusion experts from OEMs, Tier1 and others met in Munich for the first edition of the event and discussed topics like low-level fusion, functional safety, validation, and extended object tracking. We are looking forward to continuing this year.More Information
In our new white paper "Cost-reduction potential in data fusion development" a real-world reference system shows that even simple systems generate development costs of at least EUR 1.2 million. Standardized software libraries with tooling support, such as BASELABS Create Embedded, significantly reduce efforts, save up to 50% of costs and simultaneously shorten development times. Enjoy reading more about the saving effects in our white paper.White paper
With BASELABS Create Embedded, a series-grade software library is available which enables customers to efficiently develop data fusion systems for automated driving functions in embedded systems. The software makes it possible for the first time to take over the developed data fusion C-code directly for series production ECUs. Infineon's AURIX™ TC3xx microcontroller platforms are perfectly suited for the execution of the embedded software algorithms.
BASELABS presented its data fusion software for series production running in the AURIX family (TC3xx) at Infineon's invite-only OktoberTech 2019 technology collaboration forum on October 17, 2019 in Mountain View, CA.Current press release
Together with other companies from in the field of automated driving in Chemnitz, BASELABS has founded the association CADA. The cluster has the mission to promote Chemnitz as a competence center for software development for automated driving. Several companies are active in this field with slightly different but complementary focus. This underlines the wide range of job opportunities available to actively participate in the future of the automotive industry. Both graduates and experienced software developers and engineers are invited to benefit from this versatility for their career in Chemnitz in the long run.About CADA
BASELABS Create Embedded is the new tool for the development of embedded data fusion systems for automated driving functions. The resulting data fusion library is suitable for series production and runs on typical embedded hardware platforms.BASELABS Create Embedded
BASELABS was honored at the Great Place to Work® competition 2017 and 2019 as one of the best places to work in Germany in the branch of information and communication technology and in 2019 also in the small and medium-sized business category (20 - 49 employees).Learn more about our Great Place to Work®
Data fusion increases the data quality of sensors and combines the strengths of multiple sensors. Due to the increased data quality, AEB systems are more precise, reliable and safe.Order your free poster
Sensor data fusion is one of the most important building blocks for automated vehicles. In the process of sensor fusion, the results of different sensors are combined to obtain more reliable and meaningful data. In the context of automated driving, the term usually refers to the perception of the environment of a vehicle using vehicle sensors such as radars, cameras and lidars.Learn more