Auxiliary particle filters for tracking a maneuvering target. - Rickard Karlsson; Niclas Bergman (CDC, 2000)

Range estimation using angle-only target tracking with particle filters. - Rickard Karlsson; Fredrik Gustafsson (ACC, 2001)

Particle filters for positioning, navigation, and tracking. - Fredrik Gustafsson; Fredrik Gunnarsson; Niclas Bergman; Urban Forssell; Jonas Jansson; Rickard Karlsson; Per-Johan Nordlund (IEEE Trans. Signal Process., 2002)

Particle filtering and Cramer-Rao lower bound for underwater navigation. - Rickard Karlsson; Fredrik Gustafsson; Tobias Karlsson (ICASSP (6), 2003)

Bayesian position estimation of an industrial robot using multiple sensors. - Rickard Karlsson; Mikael Norrlöf (CCA, 2004)

Model-based statistical tracking and decision making for collision avoidance application. - Rickard Karlsson; Jonas Jansson; Fredrik Gustafsson (ACC, 2004)

Particle filtering for quantized sensor information. - Rickard Karlsson; Fredrik Gustafsson (EUSIPCO, 2005)

Complexity analysis of the marginalized particle filter. - Rickard Karlsson; Thomas B. Schön; Fredrik Gustafsson (IEEE Trans. Signal Process., 2005)

Bayesian Surface and Underwater Navigation. - Rickard Karlsson; Fredrik Gustafsson (IEEE Trans. Signal Process., 2006)

A graphics processing unit implementation of the particle filter. - Gustaf Hendeby; Jeroen D. Hol; Rickard Karlsson; Fredrik Gustafsson (EUSIPCO, 2007)

A framework for simultaneous localization and mapping utilizing model structure. - Thomas B. Schön; Rickard Karlsson; David Törnqvist; Fredrik Gustafsson (FUSION, 2007)

Statistical results for system identification based on quantized observations. - Fredrik Gustafsson; Rickard Karlsson (Autom., 2009)

Particle Filter SLAM with High Dimensional Vehicle Model. - David Törnqvist; Thomas B. Schön; Rickard Karlsson; Fredrik Gustafsson (J. Intell. Robotic Syst., 2009)

Particle Filtering: The Need for Speed. - Gustaf Hendeby; Rickard Karlsson; Fredrik Gustafsson (EURASIP J. Adv. Signal Process., 2010)

The Rao-Blackwellized Particle Filter: A Filter Bank Implementation. - Gustaf Hendeby; Rickard Karlsson; Fredrik Gustafsson (EURASIP J. Adv. Signal Process., 2010)

Tool position estimation of a flexible industrial robot using recursive bayesian methods. - Patrik Axelsson; Rickard Karlsson; Mikael Norrlöf (ICRA, 2012)

Estimation-based ILC using particle filter with application to industrial manipulators. - Patrik Axelsson; Rickard Karlsson; Mikael Norrlöf (IROS, 2013)

Generating dithering noise for maximum likelihood estimation from quantized data. - Fredrik Gustafsson; Rickard Karlsson (Autom., 2013)

Gaussian mixture PHD filtering with variable probability of detection. - Gustaf Hendeby; Rickard Karlsson (FUSION, 2014)

Estimation-based norm-optimal iterative learning control. - Patrik Axelsson; Rickard Karlsson; Mikael Norrlöf (Syst. Control. Lett., 2014)

Tire Radii Estimation Using a Marginalized Particle Filter. - Christian Lundquist; Rickard Karlsson; Emre Özkan; Fredrik Gustafsson (IEEE Trans. Intell. Transp. Syst., 2014)

Vehicle speed tracking using chassis vibrations. - Martin Lindfors; Gustaf Hendeby; Fredrik Gustafsson; Rickard Karlsson (Intelligent Vehicles Symposium, 2016)

On frequency tracking in harmonic acoustic signals. - Martin Lindfors; Gustaf Hendeby; Fredrik Gustafsson; Rickard Karlsson (FUSION, 2017)

Map-aided multi-level indoor vehicle positioning. - Carsten Fritsche; Rickard Karlsson; Olle Noren; Fredrik Gustafsson (IPIN, 2017)

The Future of Automotive Localization Algorithms: Available, reliable, and scalable localization: Anywhere and anytime. - Rickard Karlsson; Fredrik Gustafsson (IEEE Signal Process. Mag., 2017)

Continuous Surrogate-Based Optimization Algorithms Are Well-Suited for Expensive Discrete Problems. - Rickard Karlsson; Laurens Bliek; Sicco Verwer; Mathijs de Weerdt (BNAIC/BENELEARN (Selected Papers), 2020)

Hospital simulation model optimisation with a random ReLU expansion surrogate model. - Laurens Bliek; Arthur Guijt; Rickard Karlsson (GECCO Companion, 2021)

EXPObench: Benchmarking Surrogate-based Optimisation Algorithms on Expensive Black-box Functions. - Laurens Bliek; Arthur Guijt; Rickard Karlsson; Sicco Verwer; Mathijs de Weerdt (CoRR, 2021)

Frequency Tracking of Wheel Vibrations. - Martin Lindfors; Gustaf Hendeby; Fredrik Gustafsson; Rickard Karlsson (IEEE Trans. Control. Syst. Technol., 2021)

Using time-series privileged information for provably efficient learning of prediction models. - Rickard K. A. Karlsson; Martin Willbo; Zeshan M. Hussain; Rahul G. Krishnan; David A. Sontag; Fredrik Johansson 002 (AISTATS, 2022)

Combining observational datasets from multiple environments to detect hidden confounding. - Rickard K. A. Karlsson; Jesse H. Krijthe (CoRR, 2022)

Detecting hidden confounding in observational data using multiple environments. - Rickard Karlsson; Jesse H. Krijthe (NeurIPS, 2023)

Benchmarking surrogate-based optimisation algorithms on expensive black-box functions. - Laurens Bliek; Arthur Guijt; Rickard Karlsson; Sicco Verwer; Mathijs de Weerdt (Appl. Soft Comput., 2023)

Falsification of Unconfoundedness by Testing Independence of Causal Mechanisms. - Rickard K. A. Karlsson; Jesse H. Krijthe (CoRR, 2025)

Qini curve estimation under clustered network interference. - Rickard K. A. Karlsson; Bram van den Akker; Felipe Moraes; Hugo Manuel Proença; Jesse H. Krijthe (CoRR, 2025)

Robust estimation of heterogeneous treatment effects in randomized trials leveraging external data. - Rickard Karlsson; Piersilvio De Bartolomeis; Issa J. Dahabreh; Jesse H. Krijthe (CoRR, 2025)