Multi-AUV Ad-hoc Networks-Based Multi-Target Tracking Based on Scene-Adaptive Embodied Intelligence

1. 1Implementing ad-hoc networking protocols for AUVs
2. 2Developing scene-adaptive embodied intelligence algorithms for multi-target tracking
3. 3Integrating acoustic communication systems with constrained bandwidth
4. 4Evaluating system performance under dynamic topological fluctuations

Researchers and engineers working on autonomous underwater vehicles and multi-agent systems can benefit from this approach to improve tracking performance in dynamic environments

💡 Scene-adaptive embodied intelligence improves tracking performance in dynamic underwater environments

💡 Multi-AUV ad-hoc networks enhance multi-target tracking with scene-adaptive embodied intelligence