The SCANeR 2026.1 release addresses the major challenges faced by ADAS and autonomous driving programs: integration of heterogeneous models, environment realism, campaign automation, and massive test coverage.This version strengthens SCANeR as an open, modular, and…
At AVSimulation, we attach the highest importance to professional equality between women and men. We assure our commitment to diversity and inclusion through our internal policies and concrete actions in ensuring an equal working environment…
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…
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)….
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…
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…
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,…
