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A comprehensive survey on non‐cooperative collision avoidance for micro aerial vehicles: Sensing and obstacle detection

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

Efficient COLREG-Compliant Collision Avoidance in Multi-Ship Encounter Situations

IEEE transactions on intelligent transportation systems (Print), 2022
Ship 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

Observer-Based Finite-Time Control for Distributed Path Maneuvering of Underactuated Unmanned Surface Vehicles With Collision Avoidance and Connectivity Preservation

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

A cooperative collision-avoidance control methodology for virtual coupling trains.

Accident Analysis and Prevention, 2022
To further improve the line transport capacity, virtual coupling has become a frontier hot topic in the field of rail transit. Specially, the safe and efficient following control strategy based on relative distance braking mode (RDBM) is one of the core ...
S. Su   +5 more
semanticscholar   +1 more source

Risk assessment based collision avoidance decision-making for autonomous vehicles in multi-scenarios

, 2021
In this paper, we proposed a new risk assessment based decision-making algorithm to guarantee collision avoidance in multi-scenarios for autonomous vehicles.
Guofa Li   +6 more
semanticscholar   +1 more source

Reinforcement Learning-Based Collision Avoidance and Optimal Trajectory Planning in UAV Communication Networks

IEEE Transactions on Mobile Computing, 2022
In this paper, we propose a reinforcement learning approach of collision avoidance and investigate optimal trajectory planning for unmanned aerial vehicle (UAV) communication networks.
Yu-Hsin Hsu, Rung-Hung Gau
semanticscholar   +1 more source

A MPC Combined Decision Making and Trajectory Planning for Autonomous Vehicle Collision Avoidance

IEEE transactions on intelligent transportation systems (Print), 2022
Increasing focus is being paid to ensuring safety in autonomous driving. The current paper addresses the challenge of collision avoidance with dynamic surrounding vehicles in different driving situations.
M. Ammour, R. Orjuela, M. Basset
semanticscholar   +1 more source

Deep reinforcement learning-based collision avoidance for an autonomous ship

Ocean Engineering, 2021
Social interest in autonomous navigation systems for autonomous ships is also increasing. For a robust autonomous navigation system, the location, speed, and direction of the ship and other ships must be identified in real time, and collision avoidance ...
Do-Hyun Chun   +4 more
semanticscholar   +1 more source

Visually guided collision avoidance and collision achievement

Trends in Cognitive Sciences, 2000
To survive on today's highways, a driver must have highly developed skills in visually guided collision avoidance. To play such games as cricket, tennis or baseball demands accurate, precise and reliable collision achievement. This review discusses evidence that some of these tasks are performed by predicting where an object will be at some sharply ...
, Regan, , Gray
openaire   +2 more sources

Decentralized probabilistic multi-robot collision avoidance using buffered uncertainty-aware Voronoi cells

Autonomous Robots, 2022
In this paper, we present a decentralized and communication-free collision avoidance approach for multi-robot systems that accounts for both robot localization and sensing uncertainties. The approach relies on the computation of an uncertainty-aware safe
Hai Zhu, B. Brito, Javier Alonso-Mora
semanticscholar   +1 more source

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