Results 11 to 20 of about 993,417 (294)
Car collision avoidance with velocity obstacle approach [PDF]
, 2019 The obstacle avoidance maneuver is required for an autonomous vehicle. It is essential to define the system's performance by evaluating the minimum reaction times of the vehicle and analyzing the probability of success of the avoiding operation.
Antonelli, Dario +3 more
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Applied Ocean Research, 2021 Improving the autopilot capability of ships is particularly important to ensure the safety of maritime navigation.The unmanned surface vessel (USV) with autopilot capability is a development trend of the ship of the future. The objective of this paper is
Lingyu Li +3 more
semanticscholar +1 more source
Automatic collision avoidance of ships [PDF]
, 2008 One of the key elements in automatic simulation of ship manoeuvring in confined waterways is route finding and collision avoidance. This paper presents a new practical method of automatic trajectory planning and collision avoidance based on an artificial
Han, D., Lee, B.S., Xue, Y.
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Collision avoidance system [PDF]
Displays, 1981 <div class="section abstract"> <div class="htmlview paragraph">This document presents criteria for flight deck controls and displays for Airborne Collision Avoidance Systems providing vertical-only guidance, and provides design guidance for operational, functional, and installation characteristics and requirements for airborne collision ...
openaire +2 more sources
Multiband CSMA/CA with RTS-CTS strategy [PDF]
, 2014 We present in this paper a new medium access control (MAC) scheme devoted to orthogonal frequency division multiple access (OFDMA) systems which aims at reducing collision probabilities during the channel request period.
Do, Jean-Baptiste +3 more
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Journal of Marine Science and Technology, 2021 Artificial intelligence is an enabling technology for autonomous surface vehicles, with methods such as evolutionary algorithms, artificial potential fields, fast marching methods, and many others becoming increasingly popular for solving problems such ...
Anete Vagale +4 more
semanticscholar +1 more source
Optimization-Based Collision Avoidance [PDF]
IEEE Transactions on Control Systems Technology, 2021 This paper presents a novel method for reformulating non-differentiable collision avoidance constraints into smooth nonlinear constraints using strong duality of convex optimization. We focus on a controlled object whose goal is to avoid obstacles while moving in an n-dimensional space.
Zhang, Xiaojing +2 more
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Deep-Reinforcement-Learning-Based Collision Avoidance in UAV Environment
IEEE Internet of Things Journal, 2022 Unmanned aerial vehicles (UAVs) have recently attracted both academia and industry representatives due to their utilization in tremendous emerging applications. Most UAV applications adopt visual line of sight (VLOS) due to ongoing regulations.
Sihem Ouahouah +3 more
semanticscholar +1 more source
Congestion-aware Multi-agent Trajectory Prediction for Collision Avoidance [PDF]
IEEE International Conference on Robotics and Automation, 2021 Predicting agents’ future trajectories plays a crucial role in modern AI systems, yet it is challenging due to intricate interactions exhibited in multi-agent systems, especially when it comes to collision avoidance. To address this challenge, we propose
Xu Xie +4 more
semanticscholar +1 more source
Collision Helps - Algebraic Collision Recovery for Wireless Erasure Networks [PDF]
, 2010 Current medium access control mechanisms are based on collision avoidance and collided packets are discarded. The recent work on ZigZag decoding departs from this approach by recovering the original packets from multiple collisions.
Medard, Muriel +2 more
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