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Simulation is a game changer in autonomous technology, but more has to be done.
The demand for ever more advanced high-performance real-time compute processing hardware is increasing rapidly across the automotive industry.
As computer systems became more complex the question arose: centralize all resources, or distribute processing?
It may sound trivial, but getting a self-driving system to understand its own movement is no easy task.
Our Lead AI research scientist, Viktor Gyenes explores how the newly released NNEF™ standard has changed our everyday work at AImotive.
Self-driving is one of the greatest challenges of our age. For the first time, we have the technological background, spatial and temporal resolution for a robotic system to fully understand its surroundings.
Functional safety is, without a doubt, the most crucial factor in safety-critical environments such as automotive development.
Ever wondered why most self-driving solutions only work on dedicated highways or in certain cities?
Have you ever done something where if you make a mistake someone dies instantly? I have... and it’s terrifying!
Simulation lies at the core of our unique development pipeline. However, incorporating simulation technology into the development of self-driving cars is itself no easy feat.