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// CASE STUDY

Autonomous driving systems

Successful realisation for first generation HW platform for automated driving for one of the leading automobile industry player.

Year
2020
Dev team
25 eng.
Users
1
Duration
> 12 months

// 01 Result

Successful realisation for first generation HW platform for automated driving for one of the leading automobile industry player.

// 02 Used technologies

  • CUDA
  • OpenCL
  • OpenGL
  • C
  • C++
  • Embedded C
  • QNX
  • ISO26262
  • DO-178B

// 03 Challenge

Hugely diverse hardware base, with each manufacturer selecting different hardware. Safety (ISO26262) is a major area of development as we move to L4/L5 autonomous driving systems. Definition of image processing related architecture topics (GPU sharing, GPU scheduling, usage & SW interface to video interfaces) with development of a (time-triggered) task scheduling architecture on NVIDIA's Tegra K1.

Successful realisation for first generation HW platform for automated driving for one of the leading automobile industry player.Develop a platform to support various automotive manufacturers to integrate various software functions on vehicles based around autonomous driving enhancements.

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