A unified Hybrid AI architecture for AV and ADAS that combines deep learning (DL) based smart perception with GenAI-based motion planning to enable safe, human-like, and explainable (XAI) driving decisions.
Most ADAS Systems
Arocern Software Technology
– transform raw sensor data
into real-world understanding
– adds reasoning, context, and
anticipation
Explainable AI (XAI) for
transparency
Both conventional AI and end-to-end ADAS systems process to detect everything they see, all the time, which leads to high compute, high cost, and inefficiency. Our Hybrid AI approach flips this by understanding the scene first and processing only what matters.
It understands the driving conditions to adapt what comes next
Recognizes a shape in a KNOWN context
(e.g., a pedestrian in the fog)
Thanks to VisNex, ObstaNex uses a smaller neural network adapted to the context
LESS COMPUTE, SAME ACCURACY
It quickly identfies drivable areas - where there are no objects to recognize
Process only what matters
Traditional approach
(Process entire image)
Context-first approach
(Process relevant region only)
Smaller image to process
