Development of a hardware platform for OpenCV implementation in automotive applications.

The platform's compatibility with validation testing and potential for platform unification have contributed significantly to agile development, in addition to the enhanced processing performance achieved through hardware implementation. As a result, the project has been able to reduce development workload and achieve significant efficiency gains.
INDEX

System overview

System requirements

Customer request

  • We aim to facilitate the implementation of OpenCV hardware acceleration to improve the speed and reduce the size of our modules.As we use OpenCV for image processing algorithm development on a PC running Ubuntu, this hardware acceleration will greatly enhance our efficiency and productivity.

Proposal contents (feature)

  • Also used for demonstration experiments
    In addition to the processing performance improvements achieved through hardware acceleration, our ability to conduct validation testing and the platform's compatibility with our PC-based platform used for algorithm development have greatly contributed to low-risk, efficient agile development focused on enhancing algorithm performance.
  • Reduced rebuild time
    Although modifying sections of our application that have not been hardware-accelerated can be time-consuming, we have achieved significant efficiency gains by creating a shared library for the hardware-accelerated portions. This has reduced rebuild times in the event of application modifications and lowered the overall development workload.
Achievements / Case