Xiaomi unveils its futuristic self-driving car for the first time.

Lei Jun, the CEO of Xiaomi, launched the first progress report for Xiaomi Pilot Technology for autonomous driving. Xiaomi, in an official blog, introduced the new fully internally developed autonomous driving solution called Pilot Technology. The company has pledged to invest RMB 3.3 billion (nearly Rs. 3,897 crores) in the development of the first R&D phase of its autonomous driving technology.

Xiaomi Pilot Technology for autonomous driving (Photo: xiaomiplanets)
Xiaomi Pilot Technology for autonomous driving (Photo: xiaomiplanets)

For the R&D team of the first phase, Xiaomi has hired over 500 experts from around the world. The company initially announced its entry into the smart electric vehicle segment in March 2021.

Jun, during the unveiling, also released a live road test video of its autonomous driving technology. The test video showcased the technology’s safe and intelligent assisted driving approach in multiple scenarios including U-turns, roundabouts, and continuous downhill driving. The Pilot Technology comes with advanced algorithms. It is able to take care of a number of scenarios, as added in its comprehensive list.

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“Xiaomi’s autonomous driving technology adopts a self-developed full-stack approach, and the project has made progress beyond expectations,” said Jun.

Xiaomi futuristic self driving car on road
Xiaomi Pilot Technology for autonomous driving (Photo: xiaomiplanets)

Long term strategy

To focus on the long-term industrial strategic capabilities, Xiaomi will invest another RMB 2 billion (nearly Rs. 2 crores). This will include more than ten upstream and downstream enterprises in the autonomous driving field. Under the enterprises, Xiaomi will be in charge of core sensors, core actuators, domain controllers, and more.

In its first phase, Xiaomi Pilot Technology is working to build a fleet of 140 test vehicles.

The project will be Xiaomi’s attempt at adopting a self-developed full-stack approach to autonomous driving technology, covering all core areas. With this, the autonomous driving algorithms will be quickly iterated based on user needs.

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