intoPIX and dSPACE Integrate TicoRAW for High-Performance Autonomous Driving Data Logging
intoPIX and dSPACE have integrated intoPIX's TicoRAW, an implementation of the JPEG XS RAW ISO standard, into dSPACE's high-performance data logging platforms for autonomous driving development. This integration enables lossless compression of multi-sensor data streams exceeding 50 Gbit/s, significantly reducing storage costs and transfer times for AI training while preserving data fidelity. The solution addresses critical challenges in efficiently capturing and managing massive volumes of sensor data generated by modern test vehicles for ADAS and AD systems.
Key Takeaways
- The integration supports lossless or visually lossless compression of RAW Bayer data at over 50 Gbit/s bandwidth.
- TicoRAW, an implementation of the JPEG XS RAW ISO standard, is now showcased within dSPACE's platforms.
- The solution reduces onboard storage requirements and accelerates data transfer to data centers and cloud infrastructure.
- Integration maintains data quality for critical AI model training and validation processes.
- The joint solution will be demonstrated live at AutoSens US.
Why It Matters
Efficient data management is crucial for the massive sensor data volumes generated by autonomous vehicles. This integration provides a standardized compression solution that maintains high data fidelity for AI training while reducing infrastructure costs and extending recording times. It directly impacts the development cycle of ADAS and autonomous driving systems, speeding up data collection and processing. The adoption of JPEG XS RAW by a key player like dSPACE signals a growing industry need for standardized, high-performance compression in automotive streaming data workflows. Watch for further adoption of ISO standard compression in edge devices for other high-bandwidth applications.
Read full article at intopix.com
Enjoy our coverage?
Add StreamingMeme as a preferred source on Google to see more of our streaming news at the top of your Search results.
Add as preferred source