Results 291 to 300 of about 814,149 (338)
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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
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), 2022Increasing 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
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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
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
Visually guided collision avoidance and collision achievement
Trends in Cognitive Sciences, 2000To 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
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IEEE transactions on intelligent transportation systems (Print), 2021
Controlling the lateral dynamics of an autonomous vehicle confronting a sudden obstacle requires optimal use of tires’ force capacities. In these situations, autonomous steering may not be able to respond fast enough to prevent collision or instability ...
R. Hajiloo +4 more
semanticscholar +1 more source
Controlling the lateral dynamics of an autonomous vehicle confronting a sudden obstacle requires optimal use of tires’ force capacities. In these situations, autonomous steering may not be able to respond fast enough to prevent collision or instability ...
R. Hajiloo +4 more
semanticscholar +1 more source
Ship Collision Avoidance Utilizing the Cross-Entropy Method for Collision Risk Assessment
IEEE transactions on intelligent transportation systems (Print), 2022In this article, a new approach for ship-ship collision probability estimation based on the Cross-Entropy (CE) method is introduced, which can be treated as an adaptive importance sampler. It has the advantage of attaining low variance estimates of small
Trym Tengesdal, T. Johansen, E. Brekke
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IEEE Transactions on Industrial Informatics
Limited computational resource is one of the features of the embedded system including unmanned marine surface vehicle (MSV). Under this practical constraint, we aim to develop a distributed formation control algorithm for a group of uncertain MSVs ...
Shude He +4 more
semanticscholar +1 more source
Limited computational resource is one of the features of the embedded system including unmanned marine surface vehicle (MSV). Under this practical constraint, we aim to develop a distributed formation control algorithm for a group of uncertain MSVs ...
Shude He +4 more
semanticscholar +1 more source
Distributed MPC-Based Robust Collision Avoidance Formation Navigation of Constrained Multiple USVs
IEEE Transactions on Intelligent VehiclesThis article is devoted to tackling the robust collision avoidance formation navigation problem for a class of multiple unmanned surface vehicles (multi-USVs), where the USVs are modeled as underactuated nonlinear systems subject to state and input ...
Guanghui Wen +3 more
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Collision Avoidance for Autonomous Vehicles Based on MPC With Adaptive APF
IEEE Transactions on Intelligent VehiclesIn this paper, a model predictive control (MPC) strategy is developed to realize collision avoidance with dynamic obstacle vehicles for an autonomous vehicle. A novel collision constraint based on road width and vehicle shape is proposed to ensure a safe
Hongjiu Yang +3 more
semanticscholar +1 more source
IEEE Transactions on Cybernetics, 2020
In this paper, a cooperative time-varying formation maneuvering problem with connectivity preservation and collision avoidance is investigated for a fleet of autonomous surface vehicles (ASVs) with position–heading measurements.
Zhouhua Peng +3 more
semanticscholar +1 more source
In this paper, a cooperative time-varying formation maneuvering problem with connectivity preservation and collision avoidance is investigated for a fleet of autonomous surface vehicles (ASVs) with position–heading measurements.
Zhouhua Peng +3 more
semanticscholar +1 more source

