
Lamborghini Claims Its New AI Sensor Can Correct Your Poor Driving Instantly
Chris Tsui/The Drive
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The automotive sector has long been involved with software. For years, digital modules have enhanced vehicle safety, made them more predictable, and—especially with recent improvements in traction and stability control—boosted speed. Similarly, digital tools have positively influenced the design process, enabling engineers to extract more performance without requiring additional driving skill from the user. However, conventional software feels outdated. In 2025, everything revolves around computers, making AI the next natural evolution.
AI is now an integral part of nearly every new vehicle, whether integrated into the car's “smart” assistant or embedded deep within the design stages. Now, Lamborghini aims to harness AI to enhance driver experience. Don’t just take my word for it; The Drive Editor-in-Chief Kyle Cheromcha spoke with Lamborghini CTO Rouven Mohr during Monterey Car Week to discover how AI might help drivers better manage their powerful vehicles.
Chris Tsui/The Drive
“We are already utilizing AI—it’s not fully AI yet, but rather a preliminary form of machine learning—for torque management, adjusting torque distribution based on the surface and the driver’s style,” Mohr stated. “In the future, you could envision a car that can even recognize your emotions and adjust its controls accordingly.”
A vehicle that adjusts to your feelings? It may seem unlikely, but according to Mohr, your car can be more aware of your mental state than you think, and it’s not a huge jump from basic attention and drowsiness-monitoring systems to those that gauge your mood.
“If the car could detect when you want to have fun and alters its performance to slide a bit more, the algorithm could adjust to say, ‘okay, this driver wants a bit more angle,’” he explained. “And it manages the car's rotation differently.”
The concept extends beyond just mood. Lamborghini has already envisioned systems that modify their software intervention "rules" based on driving behavior. If you handle inputs smoothly and achieve consistent laps, the system eases some of the car's safety features. Make mistakes, and the safety systems become more stringent again.
Mohr noted that AI could help refine a driver’s performance further.
“If the algorithm notices that the driver often uses too much steering angle at every corner, causing understeer, it could adjust. With a steer-by-wire system, the algorithm would learn to limit steering input to prevent this issue,” he said.
However, such intelligent technology requires more than just new software; it necessitates monitoring devices to provide essential data. Lamborghini’s standout component is its “6D Sensor,” which was showcased with the Fenomeno unveiling. The sensor itself is compact, comparable in size to a baseball, but it plays a crucial role.
Lamborghini
Mohr refers to the 6D Sensor as its “enabler.” While the algorithm is impressive, he emphasized that it relies on a consistent flow of high-quality data to be effective.
“[The algorithm] comprehends the environment, and the 6D sensor provides precise insights into the car’s status regarding rolling and pitching, measuring the motion in six degrees of freedom,” Mohr explained.
In traditional systems, these measurements would come from separate sensors relayed to various modules that would communicate with one another. This process is not only time-consuming but also relies on individual sensor data that offers snapshots rather than real-time understanding, which the computers then compile into an estimate of the car's current actions—or rather, what it was doing moments earlier.
“When you have accurate information about body movement, it significantly enhances the precision in managing vehicle control,” Mohr said. “So, this is the key to future advancements, let’s say for the future.”
Lamborghini isn’t the only company exploring advanced driver monitoring algorithms that could interact with onboard safety systems. BMW's latest electronic “superbrains” are sophisticated enough to discern driver intent. For example, on a narrow two-lane road when passing a stationary delivery vehicle, most lane departure warning systems activate as the car approaches the center line. However, BMW claims it can interpret intentional maneuvers through a combination of attention-monitoring cameras and steering wheel torque sensors, allowing it to bypass typical warnings.
If only all back-seat drivers could be so easily silenced.
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Lamborghini Claims Its New AI Sensor Can Correct Your Poor Driving Instantly
Computers are already aiding cars in achieving higher speeds; now Lamborghini aims to provide the same advantage for its drivers.