AI-Powered Smart Cars: A Comprehensive "Evolution" in Perception, Decision-Making, and Powertrain

Traditional visual sensors are prone to "blinding" in extreme scenarios such as backlighting, dense fog, and heavy rain, which is one of the biggest bottlenecks for autonomous driving to reach higher levels. However, the "quantum correlation imaging technology" selected as a cutting-edge technology is dedicated to giving cars a pair of "eagle eyes" that can penetrate the fog.

The revolutionary aspect of this technology lies in its "non-local imaging" capability: by capturing the quantum correlation characteristics between target photons and reference photons, and reconstructing them using AI algorithms, clear images can be generated even in harsh environments.

Even if a car's "eyes" are sharp, if its "brain" is rigid and inflexible, it still cannot cope with the ever-changing "long-tail scenarios" on real roads. The breakthrough of "human-like safety autonomous driving prediction and decision-making joint optimization technology" is precisely to enable AI to learn the thinking methods of an "experienced driver".

Its core lies in the deep integration of prediction and decision-making. It is no longer limited to "how should I go", but can predict "what other vehicles/pedestrians might do", achieving decision-making logic that is closer to human driving habits. In scenarios such as unprotected left turns and complex roundabouts, the vehicle no longer mechanically starts and stops hesitantly, but exhibits smooth predictive and defensive driving intelligence.

Even more exciting is the fact that, combined with "extreme scenario accelerated testing technology," the verification cycle that would normally require hundreds of millions of kilometers of road testing can be drastically shortened by massively reproducing dangerous conditions such as torrential rain and sudden obstacles in the virtual world. This has accelerated the maturation of autonomous driving systems.

The management of batteries, the "heart" of new energy vehicles, is undergoing a leap from "monitoring" to "proactive intelligent management." The "New Energy Battery Full-Domain AI Large-Scale Model Technology," selected as a cutting-edge technology at the conference, marks a paradigm shift in energy system management.

It's no longer just a "dashboard" displaying remaining battery power, but a "smart manager" covering the entire battery lifecycle. This AI-powered model deeply integrates electrochemical principles with real-time data, achieving three major breakthroughs:

From quantum perception to human-like decision-making, and then to smart energy, AI's empowerment is no longer a single-point technological upgrade, but a systemic evolution of deep collaboration and comprehensive integration. When hard technologies such as high-bandwidth optical communication and wide-bandgap power modules are closely combined with AI's soft power, the car is evolving from a pure means of transportation into a "wheeled intelligent agent" capable of autonomous perception, thinking, and evolution.

In the "perception core" of intelligent vehicle radar systems, aperture extrapolation technology and time-stabilized signal processing algorithms are the cornerstones for achieving high-resolution environmental perception.

Avnet's S32R41 + 2*TFE82 dual-chip cascade solution provides an antenna reference and corresponding radar calibration algorithms. In addition, Avnet has developed an aperture extrapolation technique that uses time-stabilized signal processing algorithms such as Burg and Marple to linearly extrapolate the receiver aperture, eliminating the need for multiple transmit/receive operations to expand the aperture. Avnet's solution also supports a user-friendly Python development environment, facilitating RF engineers to evaluate the RF performance of the TEF82 and enabling algorithm engineers to quickly develop and validate their algorithms.

In the future, competition will no longer be a simple contest of horsepower or range, but a battle of the intelligence level of the entire system. AI is redefining the word "car" at a speed beyond our imagination.