A Hybrid Strategy for Target Search Using Static and Mobile Sensors

Area of Science:

• Robotics
• Sensor Networks
• Search and Rescue

Background:

• Real-time tracking of untrackable mobile targets is crucial for time-critical applications like search and rescue.
• Existing methods may not effectively integrate static and mobile sensing capabilities.

Purpose of the Study:

• To propose a novel hybrid approach for detecting untrackable mobile targets using both static and mobile sensors.
• To enhance target detection by optimizing the synergy between static sensor deployment and mobile robot search patterns.

Main Methods:

• A hybrid approach utilizing a team of robots for both static-sensor network deployment and active target searching.
• Optimal deployment planning for static sensors to maximize detection likelihood and ensure unbiased target motion tracking.
• Two-stage robot motion planning: route planning to maximize search time and trajectory planning to effectively utilize spare time for target searching.

Main Results:

• The proposed strategy integrates static sensor network deployment with mobile robot search capabilities.
• Optimized deployment and routing plans were developed to maximize the efficiency of the hybrid search system.
• Extensive simulations validated the performance and effectiveness of the proposed search strategy.

Conclusions:

• The hybrid approach offers a synergistic solution for detecting untrackable mobile targets.
• Optimal planning of sensor deployment and robot motion significantly enhances search success rates.
• This method provides a robust framework for dynamic target localization in critical scenarios.