Porting and Optimization of ADAS Algorithms on Hydra DSP

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Porting and Optimization of ADAS Algorithms on Hydra DSP

Executive Summary

The client is a US-based automotive division of a Japanese conglomerate, engaged in providing automotive solutions such as car multimedia, ADAS, and autonomous technology. The company had proprietary algorithms for camera calibration and optical self-diagnosis of its ADAS system. However, the code was highly inefficient and needed to be ported from the PC to a suitable platform for car multimedia with high speed and low power consumption.

eInfochips recommended Hydra DSP and executed the porting and optimization of the client’s camera algorithm, tackling with complex technical challenges to come out with an optimal solution.

The key highlights of the project included floating point to fixed point conversion, and conversion of the entire code from C++ to C along with handling complex structures and dynamic memory, thereby overcoming the challenges of restricted memory (32 KB code memory, 4 KB DMem and 4KB DMem 2). The result was accurate, ready-to-deploy ADAS algorithms on the Broadcom chipset.

Project Highlights

  • Porting of a PC-based proprietary code to Hydra DSP
  • Optical Self Diagnosis and Camera Calibration for ADAS
  • Development subject to stringent memory constraints
  • Conversion from Floating to Fixed-point arithmetic
  • Code conversion from C++ to C before portin

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    Executive Summary

    The client is a US-based automotive division of a Japanese conglomerate, engaged in providing automotive solutions such as car multimedia, ADAS, and autonomous technology. The company had proprietary algorithms for camera calibration and optical self-diagnosis of its ADAS system. However, the code was highly inefficient and needed to be ported from the PC to a suitable platform for car multimedia with high speed and low power consumption.

    eInfochips recommended Hydra DSP and executed the porting and optimization of the client’s camera algorithm, tackling with complex technical challenges to come out with an optimal solution.

    The key highlights of the project included floating point to fixed point conversion, and conversion of the entire code from C++ to C along with handling complex structures and dynamic memory, thereby overcoming the challenges of restricted memory (32 KB code memory, 4 KB DMem and 4KB DMem 2). The result was accurate, ready-to-deploy ADAS algorithms on the Broadcom chipset.

    Project Highlights

    • Porting of a PC-based proprietary code to Hydra DSP
    • Optical Self Diagnosis and Camera Calibration for ADAS
    • Development subject to stringent memory constraints
    • Conversion from Floating to Fixed-point arithmetic
    • Code conversion from C++ to C before portin

    To read more, download the copy

    arrows-new-1

    To download this resource

    Fill in the details below





      I have read and understand the Privacy Policy By submitting this form, I acknowledge that I have read and understand the Privacy Policy

      I wish to be contacted by eInfochips I wish to be contacted by eInfochips

      For all career related inquiries, kindly visit our careers page or write to career@einfochips.com

      Executive Summary

      The client is a US-based automotive division of a Japanese conglomerate, engaged in providing automotive solutions such as car multimedia, ADAS, and autonomous technology. The company had proprietary algorithms for camera calibration and optical self-diagnosis of its ADAS system. However, the code was highly inefficient and needed to be ported from the PC to a suitable platform for car multimedia with high speed and low power consumption.

      eInfochips recommended Hydra DSP and executed the porting and optimization of the client’s camera algorithm, tackling with complex technical challenges to come out with an optimal solution.

      The key highlights of the project included floating point to fixed point conversion, and conversion of the entire code from C++ to C along with handling complex structures and dynamic memory, thereby overcoming the challenges of restricted memory (32 KB code memory, 4 KB DMem and 4KB DMem 2). The result was accurate, ready-to-deploy ADAS algorithms on the Broadcom chipset.

      Project Highlights

      • Porting of a PC-based proprietary code to Hydra DSP
      • Optical Self Diagnosis and Camera Calibration for ADAS
      • Development subject to stringent memory constraints
      • Conversion from Floating to Fixed-point arithmetic
      • Code conversion from C++ to C before portin

      To read more, download the copy

      arrows-new-1

      To download this resource

      Fill in the details below





        I have read and understand the Privacy Policy By submitting this form, I acknowledge that I have read and understand the Privacy Policy

        I wish to be contacted by eInfochips I wish to be contacted by eInfochips

        For all career related inquiries, kindly visit our careers page or write to career@einfochips.com

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