SPRADC4 june   2023 AM62A3 , AM62A3-Q1 , AM62A7 , AM62A7-Q1

 

  1.   1
  2.   Abstract
  3.   Trademarks
  4. 1Introduction
  5. 2AM62A Processor
  6. 3Vision Pre-processing Accelerator (VPAC)
    1. 3.1 Vision Imaging Sub-System (VISS)
    2. 3.2 Lens Distortion Correction (LDC) Block
    3. 3.3 Multi-Scalar (MSC) Block
  7. 4Deep Learning Acceleration
  8. 5Camera Mirror System Data Flow and Latency
  9. 6End-to-End Functional Safety
  10. 7Example Demonstration
    1. 7.1 Hardware Equipment
    2. 7.2 Software Components
    3. 7.3 Latency Measurement
    4. 7.4 Future Improvement on Latency
  11. 8Summary
  12. 9References

6 End-to-End Functional Safety

In CMS systems, it is crucial to provide the proper functioning and expected performance of the entire software chain and frame acquisition process, starting from the image sensor to the display. It is necessary to detect any issues that can result in a static frame display (commonly referred to as frame freeze) and promptly alert the driver. There are two methods employed to detect frame freeze:

  1. CRC Signature Comparison: The currently displayed frame is stored back in memory, and a unique signature is generated using the CRC module. The consecutive CRC signatures are compared to determine the status of frame freeze.
  2. Frame Statistics and Metadata Comparison: The frame statistics, including metadata such as frame number and timestamp, are transmitted alongside the frame over the display interface. On the receiving end, the metadata is extracted from multiple consecutive frames and compared to ascertain the presence of frame freeze.

These monitoring techniques make sure the continuous and accurate display of frames, providing a reliable and visually consistent experience to the driver.