TY  - CHAP
A1  - Alhwarin, Faraj
A1  - Ferrein, Alexander
A1  - Gebhardt, Andreas
A1  - Kallweit, Stephan
A1  - Scholl, Ingrid
A1  - Tedjasukmana, Osmond Sanjaya
T1  - Improving additive manufacturing by image processing and robotic milling
T2  - 2015 IEEE International Conference on Automation Science and Engineering (CASE), Aug 24-28, 2015 Gothenburg, Sweden
Y1  - 2015
U6  - http://dx.doi.org/10.1109/CoASE.2015.7294217
SP  - 924
EP  - 929
ER  - 
TY  - CHAP
A1  - Alhwarin, Faraj
A1  - Ferrein, Alexander
A1  - Scholl, Ingrid
T1  - An Efficient Hashing Algorithm for NN Problem in HD Spaces
T2  - Lecture Notes in Computer Science
Y1  - 2019
SN  - 978-303005498-4
U6  - http://dx.doi.org/10.1007/978-3-030-05499-1_6
N1  - 7th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2018; Funchal; Portugal; 16 January 2018 through 18 January 2018; Code 222779
SP  - 101
EP  - 115
ER  - 
TY  - CHAP
A1  - Chajan, Eduard
A1  - Schulte-Tigges, Joschua
A1  - Reke, Michael
A1  - Ferrein, Alexander
A1  - Matheis, Dominik
A1  - Walter, Thomas
T1  - GPU based model-predictive path control for self-driving vehicles
T2  - IEEE Intelligent Vehicles Symposium (IV)
N2  - One central challenge for self-driving cars is a proper path-planning. Once a trajectory has been found, the next challenge is to accurately and safely follow the precalculated path. The model-predictive controller (MPC) is a common approach for the lateral control of autonomous vehicles. The MPC uses a vehicle dynamics model to predict the future states of the vehicle for a given prediction horizon. However, in order to achieve real-time path control, the computational load is usually large, which leads to short prediction horizons. To deal with the computational load, the control algorithm can be parallelized on the graphics processing unit (GPU). In contrast to the widely used stochastic methods, in this paper we propose a deterministic approach based on grid search. Our approach focuses on systematically discovering the search area with different levels of granularity. To achieve this, we split the optimization algorithm into multiple iterations. The best sequence of each iteration is then used as an initial solution to the next iteration. The granularity increases, resulting in smooth and predictable steering angle sequences. We present a novel GPU-based algorithm and show its accuracy and realtime abilities with a number of real-world experiments.
KW  - Heuristic algorithms
KW  - Computational modeling
KW  - model-predictive control
KW  - GPU
KW  - autonomous driving
Y1  - 2021
SN  - 978-1-7281-5394-0
U6  - http://dx.doi.org/10.1109/IV48863.2021.9575619
N1  - 2021 IEEE Intelligent Vehicles Symposium (IV)
July 11-17, 2021. Nagoya, Japan
SP  - 1243
EP  - 1248
PB  - IEEE
ER  - 
TY  - CHAP
A1  - Dey, Thomas
A1  - Elsen, Ingo
A1  - Ferrein, Alexander
A1  - Frauenrath, Tobias
A1  - Reke, Michael
A1  - Schiffer, Stefan
ED  - Makedon, Fillia
T1  - CO2 Meter: a do-it-yourself carbon dioxide measuring device for the classroom
T2  - PETRA 2021: The 14th PErvasive Technologies Related to Assistive Environments Conference
N2  - In this paper we report on CO2 Meter, a do-it-yourself carbon dioxide measuring device for the classroom. Part of the current measures for dealing with the SARS-CoV-2 pandemic is proper ventilation in indoor settings. This is especially important in schools with students coming back to the classroom even with high incidents rates. Static ventilation patterns do not consider the individual situation for a particular class. Influencing factors like the type of activity, the physical structure or the room occupancy are not incorporated. Also, existing devices are rather expensive and often provide only limited information and only locally without any networking. This leaves the potential of analysing the situation across different settings untapped. Carbon dioxide level can be used as an indicator of air quality, in general, and of aerosol load in particular. Since, according to the latest findings, SARS-CoV-2 can be transmitted primarily in the form of aerosols, carbon dioxide may be used as a proxy for the risk of a virus infection. Hence, schools could improve the indoor air quality and potentially reduce the infection risk if they actually had measuring devices available in the classroom. Our device supports schools in ventilation and it allows for collecting data over the Internet to enable a detailed data analysis and model generation. First deployments in schools at different levels were received very positively. A pilot installation with a larger data collection and analysis is underway.
KW  - embedded hardware
KW  - sensor networks
KW  - information systems
KW  - education
KW  - do-it-yourself
Y1  - 2021
SN  - 9781450387927
U6  - http://dx.doi.org/10.1145/3453892.3462697
N1  - PETRA '21: The 14th PErvasive Technologies Related to Assistive Environments Conference Corfu Greece 29 June 2021- 2 July 2021
SP  - 292
EP  - 299
PB  - Association for Computing Machinery
CY  - New York
ER  - 
TY  - CHAP
A1  - Eichenbaum, Julian
A1  - Nikolovski, Gjorgji
A1  - Mülhens, Leon
A1  - Reke, Michael
A1  - Ferrein, Alexander
A1  - Scholl, Ingrid
T1  - Towards a lifelong mapping approach using Lanelet 2 for autonomous open-pit mine operations
T2  - 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE)
N2  - Autonomous agents require rich environment models for fulfilling their missions. High-definition maps are a well-established map format which allows for representing semantic information besides the usual geometric information of the environment. These are, for instance, road shapes, road markings, traffic signs or barriers. The geometric resolution of HD maps can be as precise as of centimetre level. In this paper, we report on our approach of using HD maps as a map representation for autonomous load-haul-dump vehicles in open-pit mining operations. As the mine undergoes constant change, we also need to constantly update the map. Therefore, we follow a lifelong mapping approach for updating the HD maps based on camera-based object detection and GPS data. We show our mapping algorithm based on the Lanelet 2 map format and show our integration with the navigation stack of the Robot Operating System. We present experimental results on our lifelong mapping approach from a real open-pit mine.
Y1  - 2023
SN  - 979-8-3503-2069-5 (Online)
SN  - 979-8-3503-2070-1 (Print)
U6  - http://dx.doi.org/10.1109/CASE56687.2023.10260526
N1  - 19th International Conference on Automation Science and Engineering (CASE), 26-30 August 2023, Auckland, New Zealand.
PB  - IEEE
ER  - 
TY  - CHAP
A1  - Ferrein, Alexander
T1  - 3D-Mapping von Straßentunneln
T2  - 16. Geokinematischer Tag, 07. und 08. Mai 2015 : Tagungsband / Technische Universität Bergakademie Freiberg
Y1  - 2015
N1  - Schriftenreihe des Instituts für Markscheidewesen und Geodsäsie an der Technischen Universität Bergakademie Freiberg
SP  - 31
EP  - 40
ER  - 
TY  - CHAP
A1  - Ferrein, Alexander
A1  - Bharatheesha, Mukunda
A1  - Schiffer, Stefan
A1  - Corbato, Carlos Hernandez
T1  - TRROS 2018 :  Teaching Robotics with ROS Workshop at ERF 2018;  Proceedings of the Workshop on Teaching Robotics with ROS (held at ERF 2018), co-located with European Robotics Forum 2018 (ERF 2018), Tampere, Finland, March 15th, 2018
T2  - CEUR Workshop Proceedings
Y1  - 2019
SN  - 1613-0073
IS  - Vol-2329
ER  - 
TY  - CHAP
A1  - Ferrein, Alexander
A1  - Maier, Christopher
A1  - Mühlbacher, Clemens
A1  - Niemueller, Tim
A1  - Steinbauer, Gerald
A1  - Vassos, Stravros
T1  - Controlling Logistics Robots with the Action-based Language YAGI
T2  - Proceedings of the 2015 IROS Workshop on Workshop on Task Planning for Intelligent Robots in Service and Manufacturing
Y1  - 2015
ER  - 
TY  - CHAP
A1  - Ferrein, Alexander
A1  - Maier, Christopher
A1  - Mühlbacher, Clemens
A1  - Niemüller, Tim
A1  - Steinbauer, Gerald
A1  - Vassos, Stravros
T1  - Controlling logistics robots with the action-based language YAGI
T2  - Intelligent Robotics and Applications: 9th International Conference, ICIRA 2016, Tokyo, Japan, August 22-24, 2016, Proceedings, Part I
Y1  - 2016
SN  - 978-3-319-43505-3 (Print)
SN  - 978-3-319-43506-0 (Online)
U6  - http://dx.doi.org/10.1007/978-3-319-43506-0_46
N1  - Series: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
VL  - 9834
SP  - 525
EP  - 537
PB  - Springer
ER  - 
TY  - CHAP
A1  - Ferrein, Alexander
A1  - Meeßen, Marcus
A1  - Limpert, Nicolas
A1  - Schiffer, Stefan
ED  - Lepuschitz, Wilfried
T1  - Compiling ROS Schooling Curricula via Contentual Taxonomies
T2  - Robotics in Education
Y1  - 2021
SN  - 978-3-030-67411-3
U6  - http://dx.doi.org/10.1007/978-3-030-67411-3_5
N1  - RiE: International Conference on Robotics in Education (RiE);
Advances in Intelligent Systems and Computing book series (AISC, volume 1316)
SP  - 49
EP  - 60
PB  - Springer
CY  - Cham
ER  - 
TY  - CHAP
A1  - Ferrein, Alexander
A1  - Scholl, Ingrid
A1  - Neumann, Tobias
A1  - Krückel, Kai
A1  - Schiffer, Stefan
T1  - A system for continuous underground site mapping and exploration
Y1  - 2019
U6  - http://dx.doi.org/10.5772/intechopen.85859
ER  - 
TY  - CHAP
A1  - Hofmann, Till
A1  - Limpert, Nicolas
A1  - Mataré, Viktor
A1  - Ferrein, Alexander
A1  - Lakemeyer, Gerhard
T1  - Winning the RoboCup Logistics League with Fast Navigation, Precise Manipulation, and Robust Goal Reasoning
T2  - RoboCup 2019: Robot World Cup XXIII. RoboCup
Y1  - 2019
SN  - 978-3-030-35699-6
U6  - http://dx.doi.org/10.1007/978-3-030-35699-6_41
N1  - Lecture Notes in Computer Science, vol 11531
SP  - 504
EP  - 516
PB  - Springer
CY  - Cham
ER  - 
TY  - CHAP
A1  - Kirsch, Maximilian
A1  - Mataré, Victor
A1  - Ferrein, Alexander
A1  - Schiffer, Stefan
T1  - Integrating golog++ and ROS for Practical and Portable High-level Control
T2  - 12th International Conference on Agents and Artificial Intelligence
Y1  - 2020
U6  - http://dx.doi.org/10.5220/0008984406920699
ER  - 
TY  - CHAP
A1  - Krückel, Kai
A1  - Nolden, Florian
A1  - Ferrein, Alexander
A1  - Scholl, Ingrid
T1  - Intuitive visual teleoperation for UGVs using free-look augmented reality displays
T2  - 2015 IEEE International Conference on Robotics and Automation (ICRA), Seattle, WA
Y1  - 2015
U6  - http://dx.doi.org/10.1109/ICRA.2015.7139809
SP  - 4412
EP  - 4417
ER  - 
TY  - CHAP
A1  - Leingartner, Max
A1  - Maurer, Johannes
A1  - Steinbauer, Gerald
A1  - Ferrein, Alexander
T1  - Evaluation of sensors and mapping approaches for disasters in tunnels
T2  - IEEE International Symposium on Safety, Security, and Rescue Robotics : SSRR : 21-26 Oct. 2013, Linkoping, Sweden
Y1  - 2013
SN  - 978-1-4799-0879-0
SP  - 1
EP  - 7
ER  - 
TY  - CHAP
A1  - Limpert, Nicolas
A1  - Schiffer, Stefan
A1  - Ferrein, Alexander
T1  - A Local Planner for Ackermann-Driven Vehicles in ROS SBPL
T2  - Proceedings of the International Conference on Pattern Recognition Association of South Africa and Robotics and Mechatronics (PRASA-RobMech), 2015
Y1  - 2015
U6  - http://dx.doi.org/10.1109/RoboMech.2015.7359518
SP  - 172
EP  - 177
ER  - 
TY  - CHAP
A1  - Marco, Heather G.
A1  - Ferrein, Alexander
T1  - AGNES: The African-German Network of Excellence in Science
T2  - Proceedings of the 2nd Developing World Robotics Forum, Workshop at IEEE AFRICON 2017
Y1  - 2017
SP  - 1
EP  - 2
ER  - 
TY  - CHAP
A1  - Mataré, Victor
A1  - Schiffer, Stefan
A1  - Ferrein, Alexander
ED  - Steinbauer, Gerald
ED  - Ferrein, Alexander
T1  - golog++ : An integrative system design
T2  - CogRob 2018. Cognitive Robotics Workshop : Proceedings of the 11th Cognitive Robotics Workshop 2018 co-located with 16th International Conference on Principles of Knowledge Representation and Reasoning (KR 2018) Tempe, AZ, USA, October 27th, 2018
Y1  - 2019
SN  - 1613-0073
SP  - 29
EP  - 35
ER  - 
TY  - CHAP
A1  - Niemueller, Tim
A1  - Neumann, Tobias
A1  - Henke, Christoph
A1  - Schönitz, Sebastian
A1  - Reuter, Sebastian
A1  - Ferrein, Alexander
A1  - Jeschke, Sabina
A1  - Lakemeyer, Gerhard
T1  - Improvements for a robust production in the RoboCup logistics league 2016
T2  - RoboCup 2016: Robot World Cup XX. RoboCup 2016.
Y1  - 2017
SN  - 978-3-319-68792-6
U6  - http://dx.doi.org/10.1007/978-3-319-68792-6_49
SP  - 589
EP  - 600
PB  - Springer
CY  - Cham
ER  - 
TY  - CHAP
A1  - Niemueller, Tim
A1  - Neumann, Tobias
A1  - Henke, Christoph
A1  - Schönitz, Sebastian
A1  - Reuter, Sebastian
A1  - Ferrein, Alexander
A1  - Jeschke, Sabina
A1  - Lakemeyer, Gerhard
T1  - International Harting Open Source Award 2016: Fawkes for the RoboCup Logistics League
T2  - RoboCup 2016: RoboCup 2016: Robot World Cup XX. RoboCup 2016
Y1  - 2017
SN  - 978-3-319-68792-6
U6  - http://dx.doi.org/10.1007/978-3-319-68792-6_53
N1  - Lecture Notes in Computer Science, LNCS, Vol 9776
SP  - 634
EP  - 642
PB  - Springer
CY  - Cham
ER  -