Development of a low-cost autonomous surface vehicle using MOOS-IvP
Paper in proceeding, 2016
cost Autonomous Surface Vehicle (ASV) using a behavior-based software, the MOOS-IvP. The platform used is a catamaran boat driven by two direct current motors as the propulsion system. It is embedded with a processing board with an Arduino microcontroller, a low-cost Inertial Measurement Unit (IMU) with accelerometers, gyroscopes and magnetometers, a GPS receiver and a wireless RF serial modem. The ASV commu- nicates with a Ground Control Station (GCS) sending telemetry data and receiving navigation commands for the propulsion motors. The GCS uses the MOOS-IvP software to implement the autonomous navigation procedures and the GPS/Compass/IMU sensor fusion algorithm. Simulation and experimental results in real conditions are presented and discussed. The experimental and simulation results consist of path following missions in the presence of virtual obstacles. Index
MOOS-IvP
Extended Kalman Filter
Sensor Fusion
Autonomous Navigation
Autonomous Surface Vehicle
Author
David Issa Mattos
Software Engineering for People, Architecture, Requirements and Traceability
Douglas Soares dos Santos
Instituto Tecnológico de Aeronáutica (ITA)
Cairo Lucio Nascimento Jr
Instituto Tecnológico de Aeronáutica (ITA)
IEEE Systems Conference (SysCon)
978-1-4673-9519-9 (ISBN)
Orlando, USA,
Subject Categories
Embedded Systems
Robotics
Other Electrical Engineering, Electronic Engineering, Information Engineering
DOI
10.1109/SYSCON.2016.7490541