What if an autonomous system was no longer just an executor, but a truly intelligent actor within its environment? This vision, once confined to research labs, is now becoming a reality thanks to the integration of advanced sensors such as Lidar and embedded artificial intelligence algorithms. These technologies enable autonomous systems — especially drones — to interact with the world in real time, with an unprecedented level of finesse and responsiveness.
Embedded Intelligence: The fusion of perception and decision-making
The challenge is no longer to simply fly a drone from point A to point B. It is now about enabling it to operate in dynamic environments, interpret its context, make decisions, and act independently. To achieve this, the combination of Lidar and embedded AI plays a key role. Lidar provides continuous and precise 3D mapping of the surroundings, while AI algorithms interpret this data in real time to detect obstacles, track moving targets, identify areas of interest, or dynamically adjust the flight path.
This constant dialogue between perception and action allows these complementary systems to respond effectively to complex scenarios—whether it’s avoiding a fallen branch, tracking a moving vehicle, or mapping a dense forest without GPS.
A technological challenge: reliability, latency, robustness
Implementing this level of embedded intelligence means overcoming several major challenges. Sensors must remain reliable under a variety of conditions (rain, dust, low light…). Meanwhile, the algorithms need to be optimized for platforms with limited computing power while ensuring minimal latency. Finally, the entire system must remain robust in the face of real-world variables: changing weather, electromagnetic interference, or temporary connectivity losses.
At Scalian, our approach is based on rigorous engineering of both software and hardware architectures, ensuring this robustness without compromising performance. Local data processing—edge computing—is a central component of this strategy, reducing reliance on remote infrastructures while ensuring critical reactivity.
From perception to action: towards truly autonomous systems
Next-generation autonomous systems no longer just observe their environment—they understand it and respond to it. This paradigm shift is transforming their role across many sectors. In environmental monitoring, for instance, an intelligent drone can detect a canopy anomaly or anticipate terrain changes in real time. In logistics or airport operations, it can streamline complex maneuvers without the need for constant supervision.
This level of autonomy opens the door to innovative uses, but it requires full command of the abstraction layers between sensors, data processing, AI, and action. This is precisely where our expertise lies: designing embedded architectures that are safe, flexible, and scalable—capable of transforming raw data streams into reliable and contextualized operational decisions. Embedded intelligence powered by AI and Lidar is no longer science fiction. It is now a technological reality that redefines what an autonomous system can be—not just passive or reactive, but truly proactive and contextual.
Scalian will share its expertise in artificial intelligence and simulation at the 55th International Paris Air Show – Le Bourget 2025. Come and meet us to find out more!
