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e-Article

ROS-based simulation environment for obstacle avoidance in autonomous navigation
Document Type
Conference
Source
2022 IEEE Conference on Control Technology and Applications (CCTA) Control Technology and Applications (CCTA), 2022 IEEE Conference on. :17-22 Aug, 2022
Subject
Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Monte Carlo methods
Navigation
Operating systems
Kinematics
Planning
Collision avoidance
Autonomous robots
collision avoidance (CA)
autonomous surface vehicles (ASV)
autonomous navigation
autonomous decision-making
timed elastic band (TEB)
Language
ISSN
2768-0770
Abstract
In this paper, we present a Robot Operating System (ROS) based simulation environment for obstacle avoidance in maritime operations, suitable for different planning algorithms. The chosen algorithm in the current implementation is the Timed Elastic Band (TEB) available in the TEB_local_planner package of ROS. It allows to plan paths that are consistent with the kinematic constraints of an Autonomous Surface Vehicle (ASV) and to optimize the planning according to several parameters such as the navigation time and the Cross Track Error. The proposed framework has been validated and its performance assessed via Monte Carlo simulations.