Jan 11, 2024 · This paper aims to investigate the issue of multi-UAV cooperative reconnaissance and search (MCRS) to ensure ample coverage of the mission area and precise ...

A new deep reinforcement learning approach called Double Critic Deep Deterministic Policy Gradient (DCDDPG) is proposed, which introduces both a centralized ...

Apr 29, 2024 · The belief probability map model includes target maps and uncertainty maps. These maps are updated using prior knowledge and observation ...

Duration: 0:43
Posted: Nov 6, 2024

This paper aims to investigate the issue of multi-UAV cooperative reconnaissance and search (MCRS) to ensure ample coverage of the mission area and precise ...

Enhancing Multi-UAV Reconnaissance and Search Through Double Critic DDPG With Belief Probability Maps. B Zhang, X Lin, Y Zhu, J Tian, Z Zhu. IEEE Transactions ...

Enhancing Multi-UAV Reconnaissance and Search Through Double Critic DDPG With Belief Probability Maps · Joint mission planning and spectrum resources ...

This paper investigates the multi-UAV target search problem in scenarios involving static obstacles and dynamic escape targets.

Enhancing Multi-UAV Reconnaissance and Search Through Double Critic DDPG With Belief Probability Maps. IEEE Transactions on Intelligent Vehicles. 2024 ...

This paper explores the cooperative reconnaissance and search of unknown static targets using multiple UAVs with limited communication range. The main ...