Adam Jacobson

Publication Activity (10 Years)

Years Active: 2013-2021
Publications (10 Years): 23

Top Topics

Metric Learning

Periodic Patterns

Top Venues

IEEE Robotics Autom. Lett.

Publications

Adam Jacobson, Fan Zeng, David Smith, Nigel Boswell, Thierry Peynot, Michael Milford
What localizes beneath: A metric multisensor localization and mapping system for autonomous underground mining vehicles. J. Field Robotics 38 (1) (2021)
Fan Zeng, Adam Jacobson, David Smith, Nigel Boswell, Thierry Peynot, Michael Milford
LookUP: Vision-Only Real-Time Precise Underground Localisation for Autonomous Mining Vehicles. CoRR (2019)
Stephen Hausler, Adam Jacobson, Michael Milford
Filter Early, Match Late: Improving Network-Based Visual Place Recognition. CoRR (2019)
Fan Zeng, Adam Jacobson, David Smith, Nigel Boswell, Thierry Peynot, Michael Milford
LookUP: Vision-Only Real-Time Precise Underground Localisation for Autonomous Mining Vehicles. ICRA (2019)
Stephen Hausler, Adam Jacobson, Michael Milford
Multi-Process Fusion: Visual Place Recognition Using Multiple Image Processing Methods. CoRR (2019)
Stephen Hausler, Adam Jacobson, Michael Milford
Filter Early, Match Late: Improving Network-Based Visual Place Recognition. IROS (2019)
Fan Zeng, Adam Jacobson, David Smith, Nigel Boswell, Thierry Peynot, Michael Milford
TIMTAM: Tunnel-Image Texturally Accorded Mosaic for Location Refinement of Underground Vehicles With a Single Camera. IEEE Robotics Autom. Lett. 4 (4) (2019)
Stephen Hausler, Adam Jacobson, Michael Milford
Multi-Process Fusion: Visual Place Recognition Using Multiple Image Processing Methods. IEEE Robotics Autom. Lett. 4 (2) (2019)
Litao Yu, Adam Jacobson, Michael Milford
Rhythmic Representations: Learning Periodic Patterns for Scalable Place Recognition at a Sublinear Storage Cost. IEEE Robotics Autom. Lett. 3 (2) (2018)
Gavin Suddrey, Adam Jacobson, Belinda Ward
Enabling a Pepper Robot to provide Automated and Interactive Tours of a Robotics Laboratory. CoRR (2018)
Adam Jacobson, Fan Zeng, David Smith, Nigel Boswell, Thierry Peynot, Michael Milford
Semi-Supervised SLAM: Leveraging Low-Cost Sensors on Underground Autonomous Vehicles for Position Tracking. IROS (2018)
Adam Jacobson, Zetao Chen, Michael Milford
Leveraging variable sensor spatial acuity with a homogeneous, multi-scale place recognition framework. Biol. Cybern. 112 (3) (2018)
Stephen Hausler, Adam Jacobson, Michael Milford
Feature Map Filtering: Improving Visual Place Recognition with Convolutional Calibration. CoRR (2018)
Zetao Chen, Adam Jacobson, Niko Sünderhauf, Ben Upcroft, Lingqiao Liu, Chunhua Shen, Ian D. Reid, Michael Milford
Deep Learning Features at Scale for Visual Place Recognition. CoRR (2017)
Chen Fan, Zetao Chen, Adam Jacobson, Xiaoping Hu, Michael Milford
Biologically-inspired visual place recognition with adaptive multiple scales. Robotics Auton. Syst. 96 (2017)
Sourav Garg, Adam Jacobson, Swagat Kumar, Michael Milford
Improving Condition- and Environment-Invariant Place Recognition with Semantic Place Categorization. CoRR (2017)
Sourav Garg, Adam Jacobson, Swagat Kumar, Michael Milford
Improving condition- and environment-invariant place recognition with semantic place categorization. IROS (2017)
Litao Yu, Adam Jacobson, Michael Milford
Rhythmic Representations: Learning Periodic Patterns for Scalable Place Recognition at a Sub-Linear Storage Cost. CoRR (2017)
Zetao Chen, Adam Jacobson, Niko Sünderhauf, Ben Upcroft, Lingqiao Liu, Chunhua Shen, Ian D. Reid, Michael Milford
Deep learning features at scale for visual place recognition. ICRA (2017)
Jake Bruce, Adam Jacobson, Michael Milford
Look No Further: Adapting Experience History to the Temporal Characteristics of the Environment. CoRR (2017)
Adam Jacobson, Walter J. Scheirer, Michael Milford
Deja vu: Scalable Place Recognition Using Mutually Supportive Feature Frequencies. CoRR (2017)
Jake Bruce, Adam Jacobson, Michael Milford
Look No Further: Adapting the Localization Sensory Window to the Temporal Characteristics of the Environment. IEEE Robotics Autom. Lett. 2 (4) (2017)
Adam Jacobson, Walter J. Scheirer, Michael Milford
Déjà vu: Scalable place recognition using mutually supportive feature frequencies. IROS (2017)
Zetao Chen, Stephanie M. Lowry, Adam Jacobson, Michael E. Hasselmo, Michael Milford
Bio-inspired homogeneous multi-scale place recognition. Neural Networks 72 (2015)
Adam Jacobson, Zetao Chen, Michael Milford
Autonomous Multisensor Calibration and Closed-loop Fusion for SLAM. J. Field Robotics 32 (1) (2015)
Niko Sünderhauf, Sareh Shirazi, Adam Jacobson, Feras Dayoub, Edward Pepperell, Ben Upcroft, Michael Milford
Place Recognition with ConvNet Landmarks: Viewpoint-Robust, Condition-Robust, Training-Free. Robotics: Science and Systems (2015)
Zetao Chen, Stephanie M. Lowry, Adam Jacobson, ZongYuan Ge, Michael Milford
Distance metric learning for feature-agnostic place recognition. IROS (2015)
Adam Jacobson, Zetao Chen, Michael Milford
Online place recognition calibration for out-of-the-box SLAM. IROS (2015)
Zetao Chen, Obadiah Lam, Adam Jacobson, Michael Milford
Convolutional Neural Network-based Place Recognition. CoRR (2014)
Rafael Berkvens, Adam Jacobson, Michael Milford, Herbert Peremans, Maarten Weyn
Biologically inspired SLAM using Wi-Fi. IROS (2014)
Zetao Chen, Adam Jacobson, Ugur M. Erdem, Michael E. Hasselmo, Michael Milford
Multi-scale bio-inspired place recognition. ICRA (2014)
Michael Milford, Adam Jacobson
Brain-inspired sensor fusion for navigating robots. ICRA (2013)
Michael Milford, Adam Jacobson, Zetao Chen, Gordon F. Wyeth
RatSLAM: Using Models of Rodent Hippocampus for Robot Navigation and Beyond. ISRR (2013)
Adam Jacobson, Zetao Chen, Michael Milford
Autonomous movement-driven place recognition calibration for generic multi-sensor robot platforms. IROS (2013)