Environment sensors, buses, and networks in autonomous vehicles can generate tens of terabytes of raw data every day. To perfectly capture this vast data volume, you must have a high-performance in-vehicle data logging system. dSPACE data logging solution – the AUTERA product family – you can meet this challenge. Would you like to know more on how you reach your goals faster in data-driven development and validation?
dSPACE and LeddarTech Join Forces to Drive Development of Lidar Innovations for Self-Driving Cars
dSPACE and LeddarTech®, a leader in level 1-5 ADAS and AD sensing technology, have entered into a partnership to jointly drive forward the development of lidar technologies for autonomous driving.
Developing Autonomous Vehicles Faster with End-to-End Solutions from dSPACE on Microsoft Azure
dSPACE will offer customers its comprehensive solutions for data-driven development of advanced driver assistance systems (ADAS) and autonomous driving (AD) on the Microsoft cloud computing platform Azure.
Blog: Surmounting Steep Challenges in Training and Validating Automated Driving Functions
The technical challenges associated with advanced driver assistance systems (ADAS) and autonomous driving functions are steep. Engineering teams have to tackle an exorbitant number of development tasks with an extremely high level of confidence.
dSPACE and Dell Help You Meet Your ADAS/AD Requirements
During the development of driver assistance systems/autonomous driving (ADAS/AD), dSPACE and Dell can help you in solving several complex challenges that you might be facing.
With dSPACE Release 2018-B, host software tools support the Python 3 distribution. From dSPACE Release 2020-B onwards, also RTT scripts for SCALEXIO and DS6001 support Python 3.
If you need to migrate hand written RTT scripts from Python 2.7 to 3.6, get support by the Migration Guide or use the form to contact us.
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