As the space environment becomes more congested, small satellites, a rapidly growing segment in the in-orbit space, lack advanced autonomous systems for collision avoidance.

Traditional tracking methods often require large teams and intense ground-based computation, but small satellite operators lack these resources.

The present systems fall short in proactively managing collision threats, creating a tension between the need for cost-effective satellite management and ensuring their long-term operational sustainability.

This dilemma affects satellite operators struggling with the trade-off between operational scope and satellite survival.

The major challenge lies in the limited processing power and energy capacity on small satellites.

This limitation hinders the implementation of complex algorithms required for real-time autonomous collision detection and avoidance maneuvers, compounded by a lack of sophisticated onboard sensors.

Current solutions involve ground-based tracking and manual intervention, which are slow and limited by available computational resources.

These methods fall short in offering real-time autonomy and efficiency required for small satellite operation.