An autonomous navigation system uses vision-based guidance for independent object tracking and trajectory planning without external intervention.

Autonomous navigational systems have become increasingly important in various sectors, particularly those involving unmanned vehicle use and surveillance. The critical need for an efficient technology solution arises from constraints regarding operator error, cost, and response time, especially in confronting non-cooperative moving objects and limited communication scenarios. Current approaches face several challenges, such as reliance on external operators for feedback or communication, leading to delays and inefficiencies. Additionally, target identification is a prevalent issue in the face of limited viewpoints and problems in object reacquisition. Existing systems struggle while dealing with non-cooperative moving objects and are easily susceptible to interrupted external communication.

Technology Description

The technology described is an autonomous navigation system, employing vision-based guidance to oversee trajectory planning as well as the execution of motion, thereby eliminating the need for external operator interactions. This sophisticated setup extends its operation to autonomously trace an object, aiming to achieve diverse viewpoints of the targeted object, thereby enhancing object identification. A unique addition to the technology is its robust reacquisition method. What sets this technology apart is its capacity to instantaneously react to non-cooperative moving objects, offering a substantial advantage in situations characterized by compromised or absent communication with external operators. Through its strategic blend of autonomy and object tracking, it surpasses contemporary systems by significantly speeding up response times and operation under challenging scenarios.


  • Improves efficiency and accuracy of autonomous navigation
  • Reduces reliance on external operator intervention, ensuring continuous operation even in an absence of communication
  • Enhances object identification through diverse viewpoints
  • Presents a robust reacquisition methodology to effectively deal with non-cooperative moving objects
  • Increases decision-making speed, crucial for quick response times

Potential Use Cases

  • Autonomous Vehicle Navigation: The technology can help enhance safety and efficiency in autonomous vehicles by tracking the surrounding environment.
  • Military drones: Drones can employ the technology to track non-cooperative moving targets with improved accuracy and response time.
  • Public Safety: Autonomous robots with vision-based guidance could be utilized for search and rescue operations in disaster-struck areas where human intervention is risky.
  • Warehouse Automation: The technology can be applied in warehouse robots for autonomous package tracking and movement.
  • Space Exploration: In space missions, this technology will play a vital role in tracking celestial bodies autonomously without the need for continuous human guidance.