MuLA-GAN: Multi-Level Attention GAN for Enhanced Underwater Visibility

no code implementations • 25 Dec 2023 • Ahsan Baidar Bakht, Zikai Jia, Muhayy ud Din, Waseem Akram, Lyes Saad Soud, Lakmal Seneviratne, Defu Lin, Shaoming He, Irfan Hussain

The underwater environment presents unique challenges, including color distortions, reduced contrast, and blurriness, hindering accurate analysis.

Image Enhancement Image Restoration +1

Vision-Based Autonomous Navigation for Unmanned Surface Vessel in Extreme Marine Conditions

1 code implementation • 8 Aug 2023 • Muhayyuddin Ahmed, Ahsan Baidar Bakht, Taimur Hassan, Waseem Akram, Ahmed Humais, Lakmal Seneviratne, Shaoming He, Defu Lin, Irfan Hussain

To overcome these issues, this paper presents an autonomous vision-based navigation framework for tracking target objects in extreme marine conditions.

Autonomous Navigation Generative Adversarial Network

Domain-Knowledge-Aided Airborne Ground Moving Targets Tracking

no code implementations • 12 Mar 2023 • Jianduo Chai, Shaoming He, Hyo-Sang Shin

This paper investigates the problem of traffic surveillance using an unmanned aerial vehicle (UAV) and proposes a domain-knowledge-aided airborne ground moving targets tracking algorithm.

A Learning-Based Computational Impact Time Guidance

no code implementations • 9 Mar 2021 • Zichao Liu, Jiang Wang, Shaoming He, Hyo-Sang Shin, Antonios Tsourdos

This paper investigates the problem of impact-time-control and proposes a learning-based computational guidance algorithm to solve this problem.

reinforcement-learning Reinforcement Learning (RL)

A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design

no code implementations • 19 Aug 2019 • Hyo-Sang Shin, Shaoming He, Antonios Tsourdos

This paper aims to examine the potential of using the emerging deep reinforcement learning techniques in flight control.

Learning Theory reinforcement-learning +1