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Embedded Performance | New Release
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Dear reader,
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our developers work daily to enhance and optimize BASELABS Create Embedded to provide you with a modular and ISO 26262 compliant sensor fusion library to accelerate your Level 2 ADAS development.
Read more about the new features of BASELABS Create Embedded 7.0 and learn about its capabilities on embedded platforms below.
Enjoy reading, and we wish you a Merry Christmas!
Your BASELABS team
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How many CPU cores are needed to run an object fusion?
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We evaluated the typical CPU and memory usage for different sensor setups, target hardware, and the number of utilized CPU cores. For example, a sensor fusion consisting of 3 front radars and a camera (3R1C) safely runs on Infineon AURIX TC397 based systems using 2 cores.
Learn more about sensor fusion technology, integration, and safety aspects on our FAQ page.
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BASELABS Create Embedded 7.0 available
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A new major version of BASELABS Create Embedded has been released and contains many new features, e.g. - Multiple hypothesis track initialization (MHTI): For the initializing of new tracks, multiple hypotheses can be configured in the data fusion designer. This improves the sensor fusion performance in e.g. challenging NCAB AEB scenarios.
- Track prioritization: To better account for limited resources on embedded platforms, tracks are prioritized by a (user-defined) prioritization function.
- Constant curvature and acceleration model: A new motion model is available that better accounts for the motion of vehicles.
Find detailed information about all releases of BASELABS Create Embedded in the release history.
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Would you like to learn more about sensor fusion?
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Please visit our Sensor Fusion page - it explains what data fusion is, what it is used for, and it contains very interesting in-depth reading.
Make yourself comfortable with a good book and enjoy the Christmas mood.
We wish you and your family a Merry Christmas and a Happy New Year.
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