@inproceedings{1d18e85174ff4f72a686f48a0191ab72,
title = "Field Experiments with an Automated Utility Platform for Transportation and Work Processes",
abstract = "The automation of transport and work tasks in various application domains continues to be a major challenge. The proposed paper presents key technologies within a process from sensing to reasoning and includes: (i) understanding the scene and its relations through new approaches in object classification and pose estimation based on machine learning, as well as methods for reliable detection of objects and object features; (ii) reliable and safe outdoor localization and mapping based on multi-modal approaches and innovative camera-based methods. The fusion of different sensor data is used for reliable obstacle detection and collision avoidance. The investigation of suitable system architectures, data processing platforms and communication mechanisms taking into account safety requirements is a prerequisite for the operation in a safety-critical environment. The paper provides a proof of concept for an automated platform to demonstrate and evaluate application scenario provided by the Linz Airport in the form of an automated transport process for air freight between a terminal and the aircraft.",
keywords = "Applications of Autonomous Intelligent Robots, Autonomous Robotic Systems, Localization, Mapping and Navigation, Robotic Simulation, Sensors and Sensor Integration",
author = "Raimund Edlinger and Stefan Dumberger and Froschauer, {Roman Franz} and Wolfgang Pointner and Marcel Zeilinger and Andreas N{\"u}chter",
note = "Funding Information: The research of these results has been accomplished within the AUTILITY - Automated utility platform for transportation and work processes project and SMARTER - Slope Maintenance Automationusing Real-Time Telecommunication and advanced Environment Recognition projects. This work has been funded by the Austrian Research Promotion Agency (FFG) within the programs ”ICT of the Future” nr. 867556 and ”Mobility of the future” nr. 879646. Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Conference on Autonomous Robot Systems and Competitions, ICARSC 2022 ; Conference date: 29-04-2022 Through 30-04-2022",
year = "2022",
month = jun,
day = "1",
doi = "10.1109/ICARSC55462.2022.9784807",
language = "English",
series = "2022 IEEE International Conference on Autonomous Robot Systems and Competitions, ICARSC 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "21--26",
editor = "Luis Louro and Pedro Fonseca and Pedro Neto and Rodrigo Ventura",
booktitle = "2022 IEEE International Conference on Autonomous Robot Systems and Competitions, ICARSC 2022",
address = "United States",
}