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2020 – today
- 2024
[c27]Umur Erdinc, Mats Jonasson, Maliheh Sadeghi Kati, Leo Laine, Bengt Jacobson, Jonas Fredriksson:
Experimental Validation of Yaw Stability Control Strategies for Articulated Vehicle Combinations. IV 2024: 1476-1483- [i7]Deepthi Pathare, Leo Laine, Morteza Haghir Chehreghani:
Tactical Decision Making for Autonomous Trucks by Deep Reinforcement Learning with Total Cost of Operation Based Reward. CoRR abs/2403.06524 (2024) - 2023
- [j5]Carl-Johan Hoel
, Krister Wolff, Leo Laine:
Ensemble Quantile Networks: Uncertainty-Aware Reinforcement Learning With Applications in Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 24(6): 6030-6041 (2023) - [c26]Deepthi Pathare, Leo Laine, Morteza Haghir Chehreghani:
Improved Tactical Decision Making and Control Architecture for Autonomous Truck in SUMO Using Reinforcement Learning. IEEE Big Data 2023: 5321-5329 - [c25]Erik Börve, Nikolce Murgovski, Leo Laine:
Interaction-Aware Trajectory Prediction and Planning in Dense Highway Traffic using Distributed Model Predictive Control. CDC 2023: 6124-6129 - [c24]Mohammad Otoofi, William J. B. Midgley, Leo Laine, Henderson Leon, Laura Justham, James Fleming:
Estimating friction coefficient using generative modelling. ICM 2023: 1-6 - [i6]Mohammad Otoofi, William J. B. Midgley, Leo Laine, Henderson Leon, Laura Justham, James Fleming:
Estimating friction coefficient using generative modelling. CoRR abs/2303.05927 (2023) - [i5]Erik Börve, Nikolce Murgovski, Leo Laine:
Interaction-Aware Trajectory Prediction and Planning in Dense Highway Traffic using Distributed Model Predictive Control. CoRR abs/2308.13053 (2023) - 2022
- [c23]Axel Hansson, Erik Andersson, Leo Laine, Maliheh Sadeghi Kati, Umur Erdinc, Mats Jonasson:
Safe operating envelope for limiting actuation of electric trailer in tractor-semitrailer combination. ITSC 2022: 3886-3893 - 2021
- [j4]Toheed Ghandriz, Bengt Jacobson, Nikolce Murgovski, Peter Nilsson, Leo Laine:
Real-Time Predictive Energy Management of Hybrid Electric Heavy Vehicles by Sequential Programming. IEEE Trans. Veh. Technol. 70(5): 4113-4128 (2021) - [c22]Maliheh Sadeghi Kati, Jonas Fredriksson, Bengt Jacobson, Leo Laine:
Design of a Robust Load-dependent Steering Controller for Improved High Capacity Vehicle Safety. ITSC 2021: 298-303 - [i4]Carl-Johan Hoel, Krister Wolff, Leo Laine:
Ensemble Quantile Networks: Uncertainty-Aware Reinforcement Learning with Applications in Autonomous Driving. CoRR abs/2105.10266 (2021) - 2020
- [j3]Toheed Ghandriz, Bengt Jacobson, Peter Nilsson, Leo Laine, Niklas Frojd:
Computationally Efficient Nonlinear One- and Two-Track Models for Multitrailer Road Vehicles. IEEE Access 8: 203854-203875 (2020) - [j2]Carl-Johan Hoel, Katherine Rose Driggs-Campbell, Krister Wolff, Leo Laine, Mykel J. Kochenderfer:
Combining Planning and Deep Reinforcement Learning in Tactical Decision Making for Autonomous Driving. IEEE Trans. Intell. Veh. 5(2): 294-305 (2020) - [c21]Carl-Johan Hoel, Krister Wolff, Leo Laine:
Tactical Decision-Making in Autonomous Driving by Reinforcement Learning with Uncertainty Estimation. IV 2020: 1563-1569 - [i3]Carl-Johan Hoel, Krister Wolff, Leo Laine:
Tactical Decision-Making in Autonomous Driving by Reinforcement Learning with Uncertainty Estimation. CoRR abs/2004.10439 (2020)
2010 – 2019
- 2019
- [i2]Carl-Johan Hoel, Katherine Rose Driggs-Campbell, Krister Wolff, Leo Laine, Mykel J. Kochenderfer:
Combining Planning and Deep Reinforcement Learning in Tactical Decision Making for Autonomous Driving. CoRR abs/1905.02680 (2019) - 2018
- [c20]Anders Magnusson, Leo Laine, Johan Lindberg:
Rethink EE architecture in automotive to facilitate automation, connectivity, and electro mobility. ICSE (SEIP) 2018: 65-74 - [c19]Carl-Johan Hoel, Krister Wolff, Leo Laine:
Automated Speed and Lane Change Decision Making using Deep Reinforcement Learning. ITSC 2018: 2148-2155 - [i1]Carl-Johan Hoel, Krister Wolff, Leo Laine:
Automated Speed and Lane Change Decision Making using Deep Reinforcement Learning. CoRR abs/1803.10056 (2018) - 2017
- [j1]Peter Nilsson, Leo Laine, Bengt Jacobson:
A Simulator Study Comparing Characteristics of Manual and Automated Driving During Lane Changes of Long Combination Vehicles. IEEE Trans. Intell. Transp. Syst. 18(9): 2514-2524 (2017) - 2016
- [c18]Toheed Ghandriz, Jonas Hellgren, Mohammad Manjurul Islam, Leo Laine, Bengt Jacobson:
Optimization based design of heterogeneous truck fleet and electric propulsion. ITSC 2016: 328-335 - [c17]Jakub Prokes, Anton Albinsson, Leo Laine:
Quantification of Excitation Required for Accurate Friction Estimation. ITSC 2016: 2551-2558 - [c16]Jan Schroeder, Daniela Holzner, Christian Berger, Carl-Johan Hoel, Leo Laine, Anders Magnusson:
Design and evaluation of a customizable multi-domain reference architecture on top of product lines of self-driving heavy vehicles - an industrial case study. Software Engineering 2016: 77-78 - 2015
- [c15]Jan Schroeder, Daniela Holzner, Christian Berger, Carl-Johan Hoel, Leo Laine, Anders Magnusson:
Design and Evaluation of a Customizable Multi-Domain Reference Architecture on Top of Product Lines of Self-Driving Heavy Vehicles - An Industrial Case Study. ICSE (2) 2015: 189-198 - [c14]Peter Nilsson, Leo Laine, Niels van Duijkeren, Bengt Jacobson:
Automated highway lane changes of long vehicle combinations: A specific comparison between driver model based control and non-linear model predictive control. INISTA 2015: 1-8 - [c13]Peter Nilsson, Leo Laine, Bengt Jacobson, Niels van Duijkeren:
Driver Model Based Automated Driving of Long Vehicle Combinations in Emulated Highway Traffic. ITSC 2015: 361-368 - [c12]Sachin Janardhanan, Mansour Keshavarz, Leo Laine:
Introduction of Traffic Situation Management for a Rigid Truck, Tests Conducted on Object Avoidance by Steering within Ego Lane. ITSC 2015: 1527-1532 - [c11]Mohammad Manjurul Islam, Leo Laine, Bengt Jacobson:
Improve Safety by Optimal Steering Control of a Converter Dolly Using Particle Swarm Optimization for Low-Speed Maneuvers. ITSC 2015: 2370-2377 - [c10]Gustav Markkula, Johan Eklov, Leo Laine, Erik Wikenhed, Niklas Frojd:
Improving yaw stability control in severe instabilities by means of a validated model of driver steering. Intelligent Vehicles Symposium 2015: 18-23 - [c9]Mohammad Manjurul Islam, Leo Laine, Bengt Jacobson:
Inverse model control including actuator dynamics for active dolly steering in high capacity transport vehicle. Intelligent Vehicles Symposium 2015: 1024-1031 - 2014
- [c8]Karin Uhlén, Per Nyman, Johan Eklöv, Leo Laine, Maliheh Sadeghi Kati, Jonas Fredriksson:
Coordination of actuators for an A-double heavy vehicle combination using control allocation. ITSC 2014: 641-648 - [c7]Peter Nilsson, Leo Laine, Ola Benderius, Bengt Jacobson:
A driver model using optic information for longitudinal and lateral control of a long vehicle combination. ITSC 2014: 1456-1461 - [c6]Peter Nilsson, Leo Laine, Bengt Jacobson:
Performance characteristics for automated driving of long heavy vehicle combinations evaluated in motion simulator. Intelligent Vehicles Symposium 2014: 362-369 - [c5]Kristoffer Tagesson, Bengt Jacobson, Leo Laine:
Driver response at tyre blow-out in heavy vehicles & the importance of scrub radius. Intelligent Vehicles Symposium 2014: 1157-1162 - 2010
- [c4]Yerlan Akhmetov, Leo Laine, Didier Rémond, Lionel Maiffredy, Virginie Harth:
Predictive driver interpreter by using inverse model for heavy vehicles. ITSC 2010: 174-179
2000 – 2009
- 2008
- [c3]Leo Laine, Sogol Kharrazi, Nicolas Dela:
Proposal for using Sine With Dwell on low friction for the evaluation of yaw stability for heavy vehicle combinations. ICVES 2008: 163-167 - 2007
- [c2]Leo Laine, Johan Andreasson:
Control Allocation based Electronic Stability Control System for a Conventional Road Vehicle. ITSC 2007: 514-521 - 2004
- [c1]Jonas Fredriksson, Johan Andreasson, Leo Laine:
Wheel force distribution for improved handling in a hybrid electric vehicle using nonlinear control. CDC 2004: 4081-4086
Coauthor Index
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