Sean R. Anderson
Orcid: 0000-0002-7452-5681
According to our database1,
Sean R. Anderson
authored at least 59 papers
between 2005 and 2024.
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Bibliography
2024
Interpretable Deep Learning for Nonlinear System Identification Using Frequency Response Functions With Ensemble Uncertainty Quantification.
IEEE Access, 2024
2023
Plant leaf deep semantic segmentation and a novel benchmark dataset for morning glory plant harvesting.
Neurocomputing, October, 2023
A robust method for approximate visual robot localization in feature-sparse sewer pipes.
Frontiers Robotics AI, September, 2023
Visual Simultaneous Localization and Mapping for Sewer Pipe Networks Leveraging Cylindrical Regularity.
IEEE Robotics Autom. Lett., June, 2023
Fast Tube Model Predictive Control for Driverless Cars Using Linear Data-Driven Models.
IEEE Trans. Control. Syst. Technol., May, 2023
Holistic Self-Distillation with the Squeeze and Excitation Network for Fine-grained Plant Pathology Classification.
Proceedings of the 26th International Conference on Information Fusion, 2023
2022
Interpretable Deep Learning for System Identification Using Nonlinear Output Frequency Response Functions.
Proceedings of the Advances in Computational Intelligence Systems, 2022
A Deep Learning Method with Cross Dropout Focal Loss Function for Imbalanced Semantic Segmentation.
Proceedings of the Sensor Data Fusion: Trends, Solutions, Applications, 2022
2021
Linear System Identification Versus Physical Modeling of Lateral-Longitudinal Vehicle Dynamics.
IEEE Trans. Control. Syst. Technol., 2021
Simultaneous Localization and Mapping for Inspection Robots in Water and Sewer Pipe Networks: A Review.
IEEE Access, 2021
Proceedings of the Towards Autonomous Robotic Systems - 22nd Annual Conference, 2021
Toward Robust Visual Odometry Using Prior 2D Map Information and Multiple Hypothesis Particle Filtering.
Proceedings of the Towards Autonomous Robotic Systems - 22nd Annual Conference, 2021
Robot Localization in a Pipe Network using a Particle Filter with Error Detection and Recovery in a Hybrid Metric-Topological Space.
Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2021
Robust top-down and bottom-up visual saliency for mobile robots using bio-inspired design principles.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Assessing the feasibility of monocular visual simultaneous localization and mapping for live sewer pipes: a field robotics study.
Proceedings of the 20th International Conference on Advanced Robotics, 2021
Robust Efficient Localization of Robots in Pipe Networks using a Particle Filter for Hybrid Metric-Topological Space.
Proceedings of the 10th European Conference on Mobile Robots, 2021
2020
Robot Localization in Water Pipes Using Acoustic Signals and Pose Graph Optimization.
Sensors, 2020
A Temporal-to-Spatial Neural Network for Classification of Hand Movements from Electromyography Data.
CoRR, 2020
Longitudinal Vehicle Dynamics: A Comparison of Physical and Data-Driven Models Under Large-Scale Real-World Driving Conditions.
IEEE Access, 2020
Proceedings of the Towards Autonomous Robotic Systems - 21st Annual Conference, 2020
Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2020
2019
Frequency-Domain Analysis for Nonlinear Systems With Time-Domain Model Parameter Uncertainty.
IEEE Trans. Autom. Control., 2019
Sensorimotor maps can be dynamically calibrated using an adaptive-filter model of the cerebellum.
PLoS Comput. Biol., 2019
Foveated Image Processing for Faster Object Detection and Recognition in Embedded Systems Using Deep Convolutional Neural Networks.
Proceedings of the Biomimetic and Biohybrid Systems - 8th International Conference, 2019
Visual saliency with foveated images for fast object detection and recognition in mobile robots using low-power embedded GPUs.
Proceedings of the 19th International Conference on Advanced Robotics, 2019
2018
IEEE Trans. Autom. Control., 2018
Compact Deep Neural Networks for Computationally Efficient Gesture Classification From Electromyography Signals.
Proceedings of the 7th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2018
2017
Constructing informative Bayesian map priors: A multi-objective optimisation approach applied to indoor occupancy grid mapping.
Int. J. Robotics Res., 2017
Feather-Inspired Sensor for Stabilizing Unmanned Aerial Vehicles in Turbulent Conditions.
Proceedings of the Biomimetic and Biohybrid Systems - 6th International Conference, 2017
Exploiting dream-like simulation mechanisms to develop safer agents for automated driving: The "Dreams4Cars" EU research and innovation action.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017
Robot mapping and localisation in metal water pipes using hydrophone induced vibration and map alignment by dynamic time warping.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017
PipeSLAM: Simultaneous localisation and mapping in feature sparse water pipes using the Rao-Blackwellised particle filter.
Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2017
2016
Computational system identification of continuous-time nonlinear systems using approximate Bayesian computation.
Int. J. Syst. Sci., 2016
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016
Person-specific gesture set selection for optimised movement classification from EMG signals.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
2015
Spatiotemporal System Identification With Continuous Spatial Maps and Sparse Estimation.
IEEE Trans. Neural Networks Learn. Syst., 2015
Biohybrid Control of General Linear Systems Using the Adaptive Filter Model of Cerebellum.
Frontiers Neurorobotics, 2015
Robot Mapping and Localisation for Feature Sparse Water Pipes Using Voids as Landmarks.
Proceedings of the Towards Autonomous Robotic Systems - 16th Annual Conference, 2015
Proceedings of the 6th International Conference on Automation, Robotics and Applications, 2015
Estimation of Fingertip Force from Surface EMG - A Multivariate Bayesian Mixture of Experts Approach.
Proceedings of the BIOSIGNALS 2015, 2015
2013
Neural Networks, 2013
Proceedings of the Towards Autonomous Robotic Systems - 14th Annual Conference, 2013
Proceedings of the Towards Autonomous Robotic Systems - 14th Annual Conference, 2013
Proceedings of the Biomimetic and Biohybrid Systems, 2013
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2012
Structure detection and parameter estimation for NARX models in a unified EM framework.
Autom., 2012
Proceedings of the Advances in Autonomous Robotics, 2012
2010
IEEE Trans. Robotics, 2010
IEEE Trans. Biomed. Eng., 2010
An iterative Kalman smoother/least-squares algorithm for the identification of delta-ARX models.
Int. J. Syst. Sci., 2010
2009
Cerebellar-Inspired Adaptive Control of a Robot Eye Actuated by Pneumatic Artificial Muscles.
IEEE Trans. Syst. Man Cybern. Part B, 2009
Int. J. Syst. Sci., 2009
2008
Maximum-Likelihood Estimation of Delta-Domain Model Parameters From Noisy Output Signals.
IEEE Trans. Signal Process., 2008
2007
IEEE Trans. Biomed. Eng., 2007
Modelling and identification of non-linear deterministic systems in the delta-domain.
Autom., 2007
2005
Comput. Chem. Eng., 2005