TY  - CHAP
A1  - Niemueller, Tim
A1  - Reuter, Sebastian
A1  - Ferrein, Alexander
A1  - Jeschke, Sabina
A1  - Lakemeyer, Gerhard
ED  - Almeida, Luis
T1  - Evaluation of the RoboCup Logistics League and Derived Criteria for Future Competitions
T2  - RoboCup 2015: Robot World Cup XIX
Y1  - 2016
SN  - 978-3-319-29339-4
U6  - http://dx.doi.org/10.1007/978-3-319-29339-4_3
N1  - Lecture Notes in Computer Science ; 9513
SP  - 31
EP  - 43
PB  - Springer International Publishing
CY  - Cham
ER  - 
TY  - CHAP
A1  - Rens, Gavin
A1  - Ferrein, Alexander
A1  - Poel, Etienne van der
T1  - Extending DTGolog to deal with POMD-Ps
T2  - Proceedings of the Nineteenth Annual Symposium of the Pattern Recognition Association of South Africa (PRASA 2008)
Y1  - 2008
SP  - 49
EP  - 54
ER  - 
TY  - JOUR
A1  - Ferrein, Alexander
A1  - Fritz, Christian
A1  - Lakemeyer, Gerhard
T1  - Extending DTGOLOG with Options / Ferrein, Alexander ; Fritz, Christian ; Lakemeyer, Gerhard
JF  - IJCAI-03, Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence, Acapulco, Mexico, August 9-15, 2003
Y1  - 2003
SP  - 1391
EP  - 1393
ER  - 
TY  - CHAP
A1  - Niemueller, Tim
A1  - Reuter, Sebastian
A1  - Ferrein, Alexander
ED  - Almeida, Luis
T1  - Fawkes for the RoboCup Logistics League
T2  - RoboCup 2015: Robot World Cup XIX
Y1  - 2016
SN  - 978-3-319-29339-4
U6  - http://dx.doi.org/10.1007/978-3-319-29339-4_31
N1  - Lecture Notes in Computer Science ; 9513
SP  - 365
EP  - 373
PB  - Springer International Publishing
CY  - Cham
ER  - 
TY  - JOUR
A1  - Ferrein, Alexander
A1  - Schiffer, Stefan
A1  - Lakemeyer, Gerhard
T1  - Football is coming Home / Schiffer, Stefan ; Ferrein, Alexander ; Lakemeyer, Gerhard
JF  - PCAR '06 Proceedings of the 2006 international symposium on Practical cognitive agents and robots
Y1  - 2006
SN  - 1-74052-130-7
SP  - 39
EP  - 50
PB  - ACM
CY  - New York, NY
ER  - 
TY  - CHAP
A1  - Schiffer, Stefan
A1  - Ferrein, Alexander
A1  - Lakemeyer, Gerhard
T1  - Fuzzy representations and control for domestic service robots in Golog
T2  - Intelligent robotics and applications : 4th International conference, ICIRA 2011, Aachen, Germany, December 6-8, 2011, proceedings, part I. (Lecture notes in computer science ; 7102)
Y1  - 2011
SN  - 978-3-642-25486-4
SP  - 241
EP  - 250
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  - JOUR
A1  - Ferrein, Alexander
T1  - golog.lua: Towards a Non-Prolog Implementation of Golog for Embedded Systems
Y1  - 2010
SP  - 20
EP  - 28
ER  - 
TY  - JOUR
A1  - Ferrein, Alexander
T1  - golog.lua: Towards a Non-Prolog Implementation of Golog for Embedded Systems
JF  - Cognitive Robotics / Lakemeyer, Gerhard (ed.)
Y1  - 2010
N1  - Dagstuhl Seminar Proceedings ; 10081
SP  - 1
EP  - 15
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  -