AImotive
Accelerating autonomous driving development with embedded solutions and advanced tooling
About AImotive
aiMotive provides embedded solutions and tooling to develop and validate autonomous driving software efficiently. Their integrated portfolio includes simulation tools, data pipelines, and AI acceleration hardware, enabling faster deployment of ADAS and automated driving features. With a holistic approach and proven market-ready products, aiMotive helps OEMs and Tier1s reduce development costs and accelerate time-to-market.
FAQ
No. There are no vehicles available for sale today that are fully autonomous. Most cars, however, are equipped with some automated driving functions or an advanced driver-assistance system.
Autonomous vehicles create and continuously update a map of their surroundings based on input from sensors (such as cameras, ultrasonic sensors, radars and lidars) placed on different parts of the vehicle. Built-in software processes these sensory inputs, creates a navigational path, and instructs the vehicle’s acceleration, steering and braking systems.
There are 6 levels of driving automation according to SAE. Level 0 - No automation, Level 1 - Driver assistance, Level 2 - Partial automation, Level 3 - Conditional automation, Level 4 - High automation, Level 5 - Full automation.
Fully autonomous vehicles (SAE Level 4 or 5) are still quite far away, but we might see more and more vehicles on public roads with Level 3 technology in the next five years.
Autonomous vehicles are very complicated - therefore, we draw from a lot of technologies to develop them, such as artificial intelligence, machine learning, sensor technologies, safety and security, cameras, and data management.
The most important advantage will be the reduction in traffic deaths - since more than 90% of traffic accidents are caused by human error. In addition, harmful emissions will drop by 60% because traffic jams with stop-and-go waves will be eliminated, which in turn would also improve fuel economy and reduce travel times.
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