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IEEE Intelligent Transportation Systems Magazine, 2023
Unmanned surface vessel (USV) autonomous navigation on the open sea involving real-time path planning and collision avoidance is still one of the essential problems to ensure the USV’s safe and efficient navigation.
Wei Guan, Kuo Wang
semanticscholar +1 more source
Unmanned surface vessel (USV) autonomous navigation on the open sea involving real-time path planning and collision avoidance is still one of the essential problems to ensure the USV’s safe and efficient navigation.
Wei Guan, Kuo Wang
semanticscholar +1 more source
An Enabling Trajectory Planning Scheme for Lane Change Collision Avoidance on Highways
IEEE Transactions on Intelligent Vehicles, 2023This paper presents a hierarchical three-layer trajectory planning framework to realize real-time collision avoidance under complex driving conditions.
Zhiqiang Zhang +5 more
semanticscholar +1 more source
IEEE Sensors Journal, 2023
To solve the problem of active collision avoidance for unmanned surface vehicles (USVs) in a complex maritime environment, a method of deep reinforcement learning (DRL) based on proximal policy optimization (PPO) is proposed.
Jiawei Xia +5 more
semanticscholar +1 more source
To solve the problem of active collision avoidance for unmanned surface vehicles (USVs) in a complex maritime environment, a method of deep reinforcement learning (DRL) based on proximal policy optimization (PPO) is proposed.
Jiawei Xia +5 more
semanticscholar +1 more source
Collision Avoidance Among Dense Heterogeneous Agents Using Deep Reinforcement Learning
IEEE Robotics and Automation Letters, 2023Navigating in a complex congested social environment without collision is a crucial and challenging task. Recent studies have demonstrated the considerable success of Deep Reinforcement Learning (DRL) in multi-agent collision avoidance.
Kai Zhu, Bin Li, Wen Zhe, Zhang Tao
semanticscholar +1 more source
IEEE transactions on intelligent transportation systems (Print), 2022
Accurately discovering hazards and issuing appropriate warnings to drivers in advance or performing autonomous control is the core of the Collision Avoidance (CA) system used to solve traffic safety problems.
Yuchuan Fu +4 more
semanticscholar +1 more source
Accurately discovering hazards and issuing appropriate warnings to drivers in advance or performing autonomous control is the core of the Collision Avoidance (CA) system used to solve traffic safety problems.
Yuchuan Fu +4 more
semanticscholar +1 more source
J. Field Robotics, 2023
In recent years, unmanned aerial vehicles (UAVs) have been confirmed as a powerful tool for countless applications in nearly every industry, in which collision avoidance plays a vital role for micro aerial vehicles (MAVs) performing autonomous missions ...
Liang Lu +5 more
semanticscholar +1 more source
In recent years, unmanned aerial vehicles (UAVs) have been confirmed as a powerful tool for countless applications in nearly every industry, in which collision avoidance plays a vital role for micro aerial vehicles (MAVs) performing autonomous missions ...
Liang Lu +5 more
semanticscholar +1 more source
Efficient COLREG-Compliant Collision Avoidance in Multi-Ship Encounter Situations
IEEE transactions on intelligent transportation systems (Print), 2022Ship collisions are major types of maritime accidents which may involve the loss of life and significant damage to property and the environment. Although many automatic ship collision avoidance algorithms have been suggested, most of them are only ...
Yonghoon Cho, Jungwook Han, Jinwhan Kim
semanticscholar +1 more source
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021
This article addresses the distributed path maneuvering of underactuated unmanned surface vehicles (USVs) with collision avoidance and connectivity preservation.
Nan Gu, Dan Wang, Zhouhua Peng, Lu Liu
semanticscholar +1 more source
This article addresses the distributed path maneuvering of underactuated unmanned surface vehicles (USVs) with collision avoidance and connectivity preservation.
Nan Gu, Dan Wang, Zhouhua Peng, Lu Liu
semanticscholar +1 more source

