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Erik Frisk
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2020 – today
- 2024
- [j32]Jian Zhou
, Björn Olofsson
Interaction-Aware Motion Planning for Autonomous Vehicles With Multi-Modal Obstacle Uncertainty Predictions. IEEE Trans. Intell. Veh. 9(1): 1305-1319 (2024) - [c22]Theodor Westny, Arman Mohammadi, Daniel Jung, Erik Frisk:
Stability-Informed Initialization of Neural Ordinary Differential Equations. ICML 2024 - [c21]Jian Zhou, Arvind Balachandran, Björn Olofsson, Lars Nielsen, Erik Frisk:
Homotopic Optimization for Autonomous Vehicle Maneuvering. IV 2024: 2561-2568 - [d1]Erik Jakobsson
DATASET FOR FAULT CLASSIFICATION IN ROCK DRILLS (PHM2022 Data). IEEE DataPort, 2024 - [i20]Jian Zhou, Yulong Gao, Ola Johansson, Björn Olofsson, Erik Frisk:
Robust Predictive Motion Planning by Learning Obstacle Uncertainty. CoRR abs/2403.06222 (2024) - [i19]Theodor Westny, Björn Olofsson, Erik Frisk:
Diffusion-Based Environment-Aware Trajectory Prediction. CoRR abs/2403.11643 (2024) - [i18]Ying Shuai Quan, Jian Zhou, Erik Frisk, Chung Choo Chung:
Observer-Based Environment Robust Control Barrier Functions for Safety-critical Control with Dynamic Obstacles. CoRR abs/2403.13288 (2024) - [i17]Olov Holmer, Erik Frisk, Mattias Krysander:
Neural Network-Based Piecewise Survival Models. CoRR abs/2403.18664 (2024) - [i16]Olov Holmer, Mattias Krysander, Erik Frisk:
Usage-Specific Survival Modeling Based on Operational Data and Neural Networks. CoRR abs/2403.18739 (2024) - [i15]Theodor Westny, Björn Olofsson, Erik Frisk:
A Preprocessing and Evaluation Toolbox for Trajectory Prediction Research on the Drone Datasets. CoRR abs/2405.00604 (2024) - [i14]Daniel Jung, Erik Frisk, Mattias Krysander:
The LiU-ICE Benchmark - An Industrial Fault Diagnosis Case Study. CoRR abs/2408.13269 (2024) - [i13]Jian Zhou, Yulong Gao, Björn Olofsson, Erik Frisk:
Uncertainty-Aware Decision-Making and Planning for Autonomous Forced Merging. CoRR abs/2410.20514 (2024) - 2023
- [j31]Theodor Westny
MTP-GO: Graph-Based Probabilistic Multi-Agent Trajectory Prediction With Neural ODEs. IEEE Trans. Intell. Veh. 8(9): 4223-4236 (2023) - [c20]Theodor Westny, Joel Oskarsson, Björn Olofsson, Erik Frisk:
Evaluation of Differentially Constrained Motion Models for Graph-Based Trajectory Prediction. IV 2023: 1-8 - [i12]Olov Holmer, Erik Frisk, Mattias Krysander:
Energy-Based Survival Models for Predictive Maintenance. CoRR abs/2302.00629 (2023) - [i11]Theodor Westny, Joel Oskarsson, Björn Olofsson, Erik Frisk:
MTP-GO: Graph-Based Probabilistic Multi-Agent Trajectory Prediction with Neural ODEs. CoRR abs/2302.00735 (2023) - [i10]Theodor Westny, Joel Oskarsson, Björn Olofsson, Erik Frisk:
Evaluation of Differentially Constrained Motion Models for Graph-Based Trajectory Prediction. CoRR abs/2304.05116 (2023) - [i9]Theodor Westny, Björn Olofsson, Erik Frisk:
Uncertainties in Robust Planning and Control of Autonomous Tractor-Trailer Vehicles. CoRR abs/2311.14573 (2023) - [i8]Theodor Westny, Arman Mohammadi, Daniel Jung, Erik Frisk:
Stability-Informed Initialization of Neural Ordinary Differential Equations. CoRR abs/2311.15890 (2023) - [i7]Fatemeh Hashemniya, Benoît Caillaud, Erik Frisk, Mattias Krysander, Mathias Malandain:
Fault Diagnosability Analysis of Multi-Mode Systems. CoRR abs/2312.14030 (2023) - [i6]Fatemeh Hashemniya, Arvind Balachandran, Erik Frisk, Mattias Krysander:
Structural Diagnosability Analysis of Switched and Modular Battery Packs. CoRR abs/2312.16520 (2023) - 2022
- [j30]Victor Fors
Resilient Branching MPC for Multi-Vehicle Traffic Scenarios Using Adversarial Disturbance Sequences. IEEE Trans. Intell. Veh. 7(4): 838-848 (2022) - [c19]Jian Zhou, Björn Olofsson, Erik Frisk:
Interaction-Aware Moving Target Model Predictive Control for Autonomous Vehicles Motion Planning. ECC 2022: 154-161 - [i5]Jian Zhou, Björn Olofsson, Erik Frisk:
Interaction-Aware Motion Planning for Autonomous Vehicles with Multi-Modal Obstacle Uncertainties Using Model Predictive Control. CoRR abs/2212.11819 (2022) - 2021
- [j29]Sergii Voronov
A forest-based algorithm for selecting informative variables using Variable Depth Distribution. Eng. Appl. Artif. Intell. 97: 104073 (2021) - [j28]Fatemeh Mohseni
Distributed Cooperative MPC for Autonomous Driving in Different Traffic Scenarios. IEEE Trans. Intell. Veh. 6(2): 299-309 (2021) - [j27]Mahdi Morsali
Spatio-Temporal Planning in Multi-Vehicle Scenarios for Autonomous Vehicle Using Support Vector Machines. IEEE Trans. Intell. Veh. 6(4): 611-621 (2021) - [c18]Iman Shafikhani, Christofer Sundström, Jan Åslund, Erik Frisk:
MPC-based energy management system design for a series HEV with battery life optimization. ECC 2021: 2591-2596 - [c17]Theodor Westny
Vehicle Behavior Prediction and Generalization Using Imbalanced Learning Techniques. ITSC 2021: 2003-2010 - [c16]Mahdi Morsali, Erik Frisk, Jan Åslund
Geometrical Based Trajectory Calculation for Autonomous Vehicles in Multi- Vehicle Traffic Scenarios. IV 2021: 1235-1242 - [i4]Theodor Westny, Erik Frisk, Björn Olofsson:
Vehicle Behavior Prediction and Generalization Using Imbalanced Learning Techniques. CoRR abs/2109.10656 (2021) - [i3]Victor Fors, Björn Olofsson, Erik Frisk:
Resilient Branching MPC for Multi-Vehicle Traffic Scenarios Using Open-Loop Adversarial Disturbance Sequences. CoRR abs/2112.09551 (2021) - 2020
- [j26]Daniel Jung
Sensor selection for fault diagnosis in uncertain systems. Int. J. Control 93(3): 629-639 (2020) - [c15]Kok Yew Ng
Design and Selection of Additional Residuals to Enhance Fault Isolation of a Turbocharged Spark Ignited Engine System. CoDIT 2020: 76-81 - [i2]Kok Yew Ng, Erik Frisk, Mattias Krysander, L. Eriksson:
A Realistic Simulation Testbed of A Turbocharged Spark-Ignited Engine System: A Platform for the Evaluation of Fault Diagnosis Algorithms and Strategies. CoRR abs/2002.03201 (2020) - [i1]Kok Yew Ng
Design and Selection of Additional Residuals To Enhance Fault Isolation of A Turbocharged Spark Ignited Engine System. CoRR abs/2002.03207 (2020)
2010 – 2019
- 2019
- [j25]Jan Åslund
Asymptotic behavior of a fault diagnosis performance measure for linear systems. Autom. 106: 143-149 (2019) - [j24]Sogol Kharrazi
Extending Behavioral Models to Generate Mission-Based Driving Cycles for Data-Driven Vehicle Development. IEEE Trans. Veh. Technol. 68(2): 1222-1230 (2019) - [c14]Sogol Kharrazi, Erik Frisk, Lars Nielsen:
Driving Behavior Categorization and Models for Generation of Mission-based Driving Cycles. ITSC 2019: 1349-1354 - 2018
- [j23]Daniel Jung
Residual selection for fault detection and isolation using convex optimization. Autom. 97: 143-149 (2018) - [j22]Erik Höckerdal, Erik Frisk, Lars Eriksson:
Real-time performance of DAE and ODE based estimators evaluated on a diesel engine. Sci. China Inf. Sci. 61(7): 70202:1-70202:13 (2018) - [j21]Sergii Voronov
Data-Driven Battery Lifetime Prediction and Confidence Estimation for Heavy-Duty Trucks. IEEE Trans. Reliab. 67(2): 623-639 (2018) - [c13]Sergii Voronov, Erik Frisk, Mattias Krysander:
Lead-acid battery maintenance using multilayer perceptron models. ICPHM 2018: 1-8 - [c12]Mahdi Morsali
Trajectory Planning for Autonomous Vehicles in Time Varying Environments Using Support Vector Machines. Intelligent Vehicles Symposium 2018: 1-6 - [c11]Fatemeh Mohseni, Sergii Voronov, Erik Frisk:
Deep Learning Model Predictive Control for Autonomous Driving in Unknown Environments. SyRoCo 2018: 447-452 - 2017
- [j20]Peter Nyberg, Erik Frisk, Lars Nielsen:
Driving Cycle Equivalence and Transformation. IEEE Trans. Veh. Technol. 66(3): 1963-1974 (2017) - [c10]Mahdi Morsali
Deterministic path planning for non-holonomic vehicles including friction and steer rate limitations. ICVES 2017: 1-6 - [c9]Mahdi Morsali
Real-time velocity planning for heavy duty truck with obstacle avoidance. Intelligent Vehicles Symposium 2017: 109-114 - [c8]Fatemeh Mohseni, Jan Åslund, Erik Frisk, Lars Nielsen:
Fuel and comfort efficient cooperative control for autonomous vehicles. Intelligent Vehicles Symposium 2017: 1631-1636 - 2016
- [j19]Christofer Sundström, Erik Frisk, Lars Nielsen:
Diagnostic Method Combining the Lookup Tables and Fault Models Applied on a Hybrid Electric Vehicle. IEEE Trans. Control. Syst. Technol. 24(3): 1109-1117 (2016) - [j18]Peter Nyberg, Erik Frisk, Lars Nielsen:
Using Real-World Driving Databases to Generate Driving Cycles With Equivalence Properties. IEEE Trans. Veh. Technol. 65(6): 4095-4105 (2016) - 2015
- [j17]Christofer Sundström, Erik Frisk, Lars Nielsen:
A new electric machine model and its relevance for vehicle level diagnosis. Int. J. Model. Identif. Control. 24(1): 1-19 (2015) - 2014
- [j16]Christofer Sundström, Erik Frisk, Lars Nielsen:
Selecting and Utilizing Sequential Residual Generators in FDI Applied to Hybrid Vehicles. IEEE Trans. Syst. Man Cybern. Syst. 44(2): 172-185 (2014) - [c7]Hamed Khorasgani, Daniel E. Jung
Robust residual selection for fault detection. CDC 2014: 5764-5769 - 2013
- [j15]Daniel Eriksson, Erik Frisk, Mattias Krysander:
A method for quantitative fault diagnosability analysis of stochastic linear descriptor models. Autom. 49(6): 1591-1600 (2013) - [j14]Carl Svärd, Mattias Nyberg, Erik Frisk:
Realizability Constrained Selection of Residual Generators for Fault Diagnosis With an Automotive Engine Application. IEEE Trans. Syst. Man Cybern. Syst. 43(6): 1354-1369 (2013) - 2012
- [j13]Albert Rosich
Fault Diagnosis Based on Causal Computations. IEEE Trans. Syst. Man Cybern. Part A 42(2): 371-381 (2012) - [j12]Erik Frisk, Aníbal Bregón
Diagnosability Analysis Considering Causal Interpretations for Differential Constraints. IEEE Trans. Syst. Man Cybern. Part A 42(5): 1216-1229 (2012) - 2011
- [j11]Jonas Biteus, Erik Frisk, Mattias Nyberg:
Distributed Diagnosis Using a Condensed Representation of Diagnoses With Application to an Automotive Vehicle. IEEE Trans. Syst. Man Cybern. Part A 41(6): 1262-1267 (2011) - [c6]Carl Svärd, Mattias Nyberg, Erik Frisk, Mattias Krysander:
A data-driven and probabilistic approach to residual evaluation for fault diagnosis. CDC/ECC 2011: 95-102 - [c5]Daniel Eriksson, Mattias Krysander, Erik Frisk:
Quantitative stochastic fault diagnosability analysis. CDC/ECC 2011: 1563-1569 - [c4]Erik Höckerdal, Erik Frisk, Lars Eriksson:
Bias reduction in DAE estimators by model augmentation: Observability analysis and experimental evaluation. CDC/ECC 2011: 7446-7451 - 2010
- [j10]Mattias Krysander, Fredrik Heintz, Jacob Roll, Erik Frisk:
FlexDx: A reconfigurable diagnosis framework. Eng. Appl. Artif. Intell. 23(8): 1303-1313 (2010)
2000 – 2009
- 2009
- [j9]Erik Frisk, Mattias Krysander, Jan Åslund
Sensor placement for fault isolation in linear differential-algebraic systems. Autom. 45(2): 364-371 (2009) - [j8]Jonas Biteus, Mattias Nyberg, Erik Frisk, Jan Åslund
Determining the fault status of a component and its readiness, with a distributed automotive application. Eng. Appl. Artif. Intell. 22(3): 363-373 (2009) - 2008
- [j7]Jonas Biteus, Mattias Nyberg, Erik Frisk:
An algorithm for computing the diagnoses with minimal cardinality in a distributed system. Eng. Appl. Artif. Intell. 21(2): 269-276 (2008) - [j6]Mattias Krysander, Erik Frisk:
Sensor Placement for Fault Diagnosis. IEEE Trans. Syst. Man Cybern. Part A 38(6): 1398-1410 (2008) - [c3]Mattias Krysander, Fredrik Heintz, Jacob Roll, Erik Frisk:
Dynamic test selection for reconfigurable diagnosis. CDC 2008: 1066-1072 - 2006
- [j5]Erik Frisk, Lars Nielsen:
Robust residual generation for diagnosis including a reference model for residual behavior. Autom. 42(3): 437-445 (2006) - [j4]Jan Åslund
An observer for non-linear differential-algebraic systems. Autom. 42(6): 959-965 (2006) - [j3]Mattias Nyberg, Erik Frisk:
Residual Generation for Fault Diagnosis of Systems Described by Linear Differential-Algebraic Equations. IEEE Trans. Autom. Control. 51(12): 1995-2000 (2006) - 2005
- [j2]Erik Frisk, Jan Åslund
Lowering orders of derivatives in non-linear residual generation using realization theory. Autom. 41(10): 1799-1807 (2005) - 2001
- [j1]Erik Frisk, Mattias Nyberg:
A minimal polynomial basis solution to residual generation for fault diagnosis in linear systems. Autom. 37(9): 1417-1424 (2001) - [c2]Erik Frisk:
Residual generation in linear stochastic systems-a polynomial approach. CDC 2001: 2289-2294
1990 – 1999
- 1999
- [c1]Erik Frisk, Mattias Nyberg:
Using minimal polynomial bases for fault diagnosis. ECC 1999: 4161-4166
Coauthor Index
aka: Björn Olofsson
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