Abstract: This tutorial presents an end-to-end modular framework for signal processing techniques used in radar systems. The taxonomy of radar has been reviewed, as well as the subsystems of radar.
@ARTICLE{10945408, author={Geng, Shuang and Ning, Zelin and Zhang, Fu and Zhou, Boyu}, journal={IEEE Robotics and Automation Letters}, title={EPIC: A Lightweight LiDAR-Based AAV Exploration Framework ...
Seafood companies around the globe have increasingly pledged to adopt more sustainable and responsible practices across their value chains. Though these pledges often represent a positive step toward ...
Abstract: Multi-agent reinforcement learning for multi autonomous underwater vehicle path planning faces significant technical challenges in data collection tasks within the Internet of Underwater ...
(IEEE Transactions on Geoscience and Remote Sensing) RSMamba: Biologically Plausible Retinex-Based Mamba for Remote Sensing Shadow Removal [paper] (2025.01.08) (IEEE Internet of Things Journal) ...