3 citations · 14 across the 7 of their papers we have counts for
5 papers · 1 filter
Deep Learning Powered Estimate of The Extrinsic Parameters on Unmanned Surface Vehicles
Yi Shen, Hao Liu, Chang Zhou +3
Unmanned Surface Vehicles (USVs) are pivotal in marine exploration, but their sensors' accuracy is compromised by the dynamic marine environment. Traditional calibration methods fa…
TD3 Based Collision Free Motion Planning for Robot Navigation
Hao Liu, Yi Shen, Chang Zhou +3
This paper addresses the challenge of collision-free motion planning in automated navigation within complex environments. Utilizing advancements in Deep Reinforcement Learning (DRL…
Localization Through Particle Filter Powered Neural Network Estimated Monocular Camera Poses
Yi Shen, Hao Liu, Xinxin Liu +3
The reduced cost and computational and calibration requirements of monocular cameras make them ideal positioning sensors for mobile robots, albeit at the expense of any meaningful…
Adaptive speed planning for Unmanned Vehicle Based on Deep Reinforcement Learning
Hao Liu, Yi Shen, Wenjing Zhou +3
In order to solve the problem of frequent deceleration of unmanned vehicles when approaching obstacles, this article uses a Deep Q-Network (DQN) and its extension, the Double Deep…
Deep Reinforcement Learning for Mobile Robot Path Planning
Hao Liu, Yi Shen, Shuangjiang Yu +2
Path planning is an important problem with the the applications in many aspects, such as video games, robotics etc. This paper proposes a novel method to address the problem of Dee…