Eletre opens a new era of coexistence in intelligent driving and pure driving and realizes an overall control on intelligent driving in the fields of hardware, algorithm software and intelligent-cloud-computing. The full range of perception and analysis, real-time redundant ultra-high computing power and industry-leading algorithm models, combined with the 74 years of experience ingrained in Lotus' track genes have enabled Eletre drivers to achieve true track-level intelligent driving.

Hardware-wise, Eletre uses 34 high-performance sensors to achieve centimetre-level accuracy and five-fold sensory coverage. Meanwhile, the full-dimensional combination of 12 ultrasonic radars, two 4D imaging millimeter-wave radars, 4 corner millimetre-wave radars and 4 LIDARS grants Eletre powerful all-scenario perception capability. Relying on the strong night-vision, even at night with unsatisfactory lighting conditions, Eletre remains highly accurate with its high-resolution and high-sensitivity environmental detection coverage, which retains clear vision.

In terms of chip computing power, Eletre is equipped with 2 NVIDIA Orin-X chips, with a computing power of up to 508 TOPS, which is equivalent to 508 trillion calculations per second. With aviation-grade safety redundancy and high computing power, Lotus' three industry-leading algorithm models can help drivers accurately perceive the driving environment and warn of driving risks by level, efficiently determine the driving distance and instantaneously calculate the best driving route. Moreover, the super powerful algorithm model will also learn the driving habits of drivers autonomously. After full learning and iteration, exclusive intelligent driving will vary among different drivers. Finally, the intelligent cloud data factory built by Lotus will greatly improve the speed of updating and iterations of the intelligent driving software.

With powerful hardware, algorithm software and intelligent cloud data factories, Lotus' AI driving system will soon achieve holistic resounding success in the three scenarios of "high-speed road/city road/parking".