A. Jacobson

发表

Online place recognition calibration for out-of-the-box SLAM

Michael Milford, Zetao Chen, Adam Jacobson, 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Autonomous movement-driven place recognition calibration for generic multi-sensor robot platforms

Michael Milford, Zetao Chen, Adam Jacobson, 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Deep Separation of Direct and Global Components

P. Peers, A. Jacobson, Z. Duan, 2020 .

Leveraging variable sensor spatial acuity with a homogeneous, multi-scale place recognition framework

Michael Milford, A. Jacobson, Zetao Chen, 2018, Biological Cybernetics.

Biologically-inspired visual place recognition with adaptive multiple scales

Michael Milford, Xiaoping Hu, Chen Fan, 2017, Robotics Auton. Syst..

Bio-inspired homogeneous multi-scale place recognition

Michael Milford, Michael E. Hasselmo, Stephanie M. Lowry, 2015, Neural Networks.

Multi-scale bio-inspired place recognition

Michael Milford, Michael E. Hasselmo, Zetao Chen, 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

Towards bio-inspired place recognition over multiple spatial scales

Michael Milford, Michael E. Hasselmo, Zetao Chen, 2013, ICRA 2013.

Place Recognition with ConvNet Landmarks: Viewpoint-Robust, Condition-Robust, Training-Free

Michael Milford, Niko Sünderhauf, Feras Dayoub, 2015, Robotics: Science and Systems.

Biologically inspired SLAM using Wi-Fi

Michael Milford, Herbert Peremans, Maarten Weyn, 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Deep learning features at scale for visual place recognition

Michael Milford, Ian D. Reid, Niko Sünderhauf, 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Convolutional Neural Network-based Place Recognition pdf

Michael Milford, Zetao Chen, Adam Jacobson, 2014, ICRA 2014.

Distance metric learning for feature-agnostic place recognition

Michael Milford, Stephanie M. Lowry, Zetao Chen, 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

What localizes beneath: A metric multisensor localization and mapping system for autonomous underground mining vehicles

Michael Milford, Thierry Peynot, Nigel Boswell, 2020, J. Field Robotics.

Multi-Process Fusion: Visual Place Recognition Using Multiple Image Processing Methods

Michael Milford, Adam Jacobson, Stephen Hausler, 2019, IEEE Robotics and Automation Letters.

Automatic calibration of a biologically inspired neural network for robot SLAM

Michael Milford, Adam Jacobson, Stephen Hausler, 2018, ICRA 2018.

LookUP: Vision-Only Real-Time Precise Underground Localisation for Autonomous Mining Vehicles

Michael Milford, Thierry Peynot, David Smith, 2019, 2019 International Conference on Robotics and Automation (ICRA).

Leveraging variable sensor spatial acuity with a homogeneous, multi-scale place recognition framework

Michael Milford, Zetao Chen, Adam Jacobson, 2018, Biological Cybernetics.

Semi-Supervised SLAM: Leveraging Low-Cost Sensors on Underground Autonomous Vehicles for Position Tracking

Michael Milford, Thierry Peynot, David Smith, 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Automated sensory data alignment for environmental and epidermal change monitoring

Michael Milford, Matthew Dunbabin, Michael G. Kimlin, 2014, ICRA 2014.

Autonomous Multisensor Calibration and Closed‐loop Fusion for SLAM

Michael Milford, Zetao Chen, Adam Jacobson, 2014, J. Field Robotics.

Using performance-based evaluation to close the loop between biological and robotic navigation

Gordon Wyeth, Michael Milford, Adam Jacobson, 2013, ICRA 2013.

Enabling a Pepper Robot to provide Automated and Interactive Tours of a Robotics Laboratory pdf

Gavin Suddrey, Adam Jacobson, Belinda Ward, 2018, ArXiv.

Feature Map Filtering: Improving Visual Place Recognition with Convolutional Calibration pdf

Michael Milford, Adam Jacobson, Stephen Hausler, 2018, ICRA 2018.

Place Recognition with ConvNet Landmarks: Viewpoint-Robust, Condition-Robust, Training-Free

Niko Sünderhauf, B. Upcroft, Michael Milford, 2015, Robotics: Science and Systems.

Improving condition- and environment-invariant place recognition with semantic place categorization

Michael Milford, Swagat Kumar, Sourav Garg, 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).