A5111220106- Robotics and Sensor-Based Localization
- Optical measurement and interference techniques
- UAV Applications and Optimization
- Guidance and Control Systems
- Military Defense Systems Analysis
- 3D Surveying and Cultural Heritage
- 3D Shape Modeling and Analysis
Northwestern Polytechnical University
2024
University of Hong Kong
2024
In this paper, we present an implicit surface reconstruction method with 3D Gaussian Splatting (3DGS), namely 3DGSR, that allows for accurate intricate details while inheriting the high efficiency and rendering quality of 3DGS. The key insight is to incorporate signed distance field (SDF) within Gaussians modeling, enable alignment joint optimization both SDF Gaussians. To achieve this, design coupling strategies align associate Gaussians, allowing unified enforcing constraints on With...
This paper proposes a multi agent value decomposition network (VDN) based UAV collaborative reconnaissance and control method to address the issue of insufficient strategies for control. By designing corresponding algorithm networks training processes, goal autonomy, collaboration, intelligence among multiple unmanned aerial vehicle systems has been achieved, assisting combat forces in achieving operations decision-making. article uses AirSim as simulation verification environment verify...
In the process of multi-UAV reconnaissance and exploration, effective rewards given to intelligent agents by environment are too sparse, while standard reinforcement learning algorithms perform poorly in environments with sparse feedback agents, specifically manifested as not actively exploring environment. A curiosity driven algorithm (ICM-IDQN) combining intrinsic motivation is proposed address problem environmental rewards. After experimental verification, this method can obtain more...