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MCUs (microcontroller units) have a wide range of terminal applications, including home appliance controls, automotive electronics, education and entertainment, medical equipment, etc. Among them, automotive electronics and the Internet of Things are the main driving forces of the MCU industry.
Over the last two years, the auto industry has experienced a great deal of turbulence. From the begin of the pandemic when dealerships have been pressured to shut down, to a huge bounce back in car purchases in the last year. But possibly the most surprising section was once the evolution and velocity at which auto retailers, dealerships and producers pivoted to digital options in order to serve their customers.
According to figures from the Society of Motor Manufacturers and Traders (SMMT), car production in the UK last year fell to its lowest level since 1956.
Through machine learning and neural networks, AI technologies power self-driving car systems that can drive autonomously. A self-driving car is a vehicle that uses a combination of sensors, cameras, radar and artificial intelligence (AI) to travel between destinations without a human operator. To qualify as fully autonomous, a vehicle must be able to navigate without human intervention to a predetermined destination over roads that have not been adapted for its use.
3D printed end-use parts are going onto vehicles with increasing frequency. Recent real-world examples showcase additive manufacturing benefits in design, weight savings and more.
In the next 10 years, the global auto industry will face the most significant change in history, with electric vehicles replacing internal combustion engine vehicles.
Self-driving cars rely on technologies such as Advanced Driver Assistance Systems (ADAS) and the Internet of Vehicles.
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