The days when a car’s headlights served only to illuminate the road for the driver are over. With the advent of ADB (Adaptive Driving Beam), Matrix LED, and Pixel LED technologies, lighting has become an active, intelligent system intrinsically linked to vehicle safety. But this…

The automotive industry is undergoing a silent transformation. More and more vehicles continue to evolve well after leaving the factory. They adapt, improve, and gain new capabilities through embedded software updates, often deployed Over-the-Air (OTA). This approach lies at the heart of the Software Defined…

Developing Advanced Driver Assistance Systems (ADAS) comes with increasing testing challenges: detecting a pedestrian in poor lighting, anticipating a side collision, merging into dense traffic… These are all scenarios that are difficult — and sometimes dangerous — to reproduce on real roads. This is where…

As Advanced Driver Assistance Systems (ADAS) become more complex, their validation must cover a vast and growing range of driving situations. Whether it’s an unexpected obstacle, degraded weather conditions, or a human behaving unpredictably, each scenario poses a challenge that must be anticipated during development….

In modern vehicles, advanced driver-assistance systems (ADAS) are built on a fundamental principle: see, understand, and react to what happens around the vehicle. This real-time perception is made possible by embedded sensors — cameras, radars, lidars — that continuously monitor the environment. But as ADAS…

Artificial intelligence (AI) has long been considered a future technology for the automotive world. Today, it’s presented as a central building block for autonomous vehicles, offering the ability to understand complex environments, make fast decisions, and continuously learn. But in practice, how mature is in-vehicle…