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Improved Cross-Ratio Invariant-Based Intrinsic Calibration of A Hyperspectral Line-Scan Camera

Sensors (Basel, Switzerland), 2018-06, Vol.18 (6), p.1885

2018

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An Unsupervised Approach for Inferring Driver Behavior From Naturalistic Driving Data

IEEE transactions on intelligent transportation systems, 2015-12, Vol.16 (6), p.3325-3336

2015

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A high‐resolution, multimodal data set for agricultural robotics: A Ladybird's‐eye view of Brassica

Journal of field robotics, 2020-01, Vol.37 (1), p.73-96

2020

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A methods guideline for deep learning for tabular data in agriculture with a case study to forecast cereal yield

Computers and electronics in agriculture, 2023-02, Vol.205, p.107642, Article 107642

2023

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A high‐resolution, multimodal data set for agricultural robotics: A Ladybird 's‐eye view of Brassica

Journal of field robotics, 2020-01, Vol.37 (1), p.73-96

2020

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Deep learning techniques for in-crop weed recognition in large-scale grain production systems: a review

Precision agriculture, 2024-02, Vol.25 (1), p.1-29

2024

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Segmentation of lettuce in coloured 3D point clouds for fresh weight estimation

Computers and electronics in agriculture, 2018-11, Vol.154, p.373-381

2018

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Extending Time to Collision for probabilistic reasoning in general traffic scenarios

Transportation research. Part C, Emerging technologies, 2015-02, Vol.51, p.66-82

2015

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Image‐based weed recognition and control: Can it select for crop mimicry?

Weed research, 2023-04, Vol.63 (2), p.77-82

2023

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Analysis of Propulsion Methods for Long-Range AUVs

Marine Technology Society journal, 2010-03, Vol.44 (2), p.46-55

2010

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Weed detection to weed recognition: reviewing 50 years of research to identify constraints and opportunities for large-scale cropping systems

Weed technology, 2022-12, Vol.36 (6), p.741-757

2022

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A Flexible System Architecture for Acquisition and Storage of Naturalistic Driving Data

IEEE transactions on intelligent transportation systems, 2016-06, Vol.17 (6), p.1748-1761

2016

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Classification with probabilistic targets

2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012, p.1780-1786

2012

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Adaptive exploration of benthic habitats using Gaussian processes

OCEANS 2010 MTS/IEEE SEATTLE, 2010, p.1-10

2010

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Autonomous exploration of large-scale benthic environments

2013 IEEE International Conference on Robotics and Automation, 2013, p.390-396

2013

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Predicting Driver Intent from Models of Naturalistic Driving

2015 IEEE 18th International Conference on Intelligent Transportation Systems, 2015, p.1609-1615

2015

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Multimodal information-theoretic measures for autonomous exploration

2016 IEEE International Conference on Robotics and Automation (ICRA), 2016, p.4230-4237

2016

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GPS/GNSS Consistency in a Multi-path Environment and During Signal Outages

2015 IEEE 18th International Conference on Intelligent Transportation Systems, 2015, p.2505-2511

2015

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Benthic monitoring with robotic platforms - The experience of Australia

2013 IEEE International Underwater Technology Symposium (UT), 2013, p.1-10

2013

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A Methods Guideline for Deep Learning for Tabular Data in Agriculture with a Case Study to Forecast Cereal Yield

SSRN Electronic Journal

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Concentrations and co-occurrence correlations of 88 volatile organic compounds (VOCs) in the ambient air of 13 semi-rural to urban locations in the United States

Atmospheric environment (1994), 2003-11, Vol.37 (36), p.5023-5046

2003

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Length of treatment after partial or complete remission in immunotherapy for metastatic melanoma: An EUMelaReg real world study

Journal of clinical oncology, 2024-06, Vol.42 (16_suppl), p.9531-9531

2024

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Therapeutic developments: Masters of medicine

Nature (London), 2017-05, Vol.545 (7654), p.S4-S9

2017

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Caring for Coma after Severe Brain Injury: Clinical Practices and Challenges to Improve Outcomes: An Initiative by the Curing Coma Campaign

Neurocritical care, 2024-10

2024

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Application of a source apportionment model in consideration of volatile organic compounds in an urban stream

Environmental toxicology and chemistry, 2007-08, Vol.26 (8), p.1606-1613

2007

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Improved Cross-Ratio Invariant-Based Intrinsic Calibration of A Hyperspectral Line-Scan Camera

An Unsupervised Approach for Inferring Driver Behavior From Naturalistic Driving Data

A high‐resolution, multimodal data set for agricultural robotics: A Ladybird's‐eye view of Brassica

A methods guideline for deep learning for tabular data in agriculture with a case study to forecast cereal yield

A high‐resolution, multimodal data set for agricultural robotics: A Ladybird 's‐eye view of Brassica

Deep learning techniques for in-crop weed recognition in large-scale grain production systems: a review

Segmentation of lettuce in coloured 3D point clouds for fresh weight estimation

Extending Time to Collision for probabilistic reasoning in general traffic scenarios

Image‐based weed recognition and control: Can it select for crop mimicry?

Analysis of Propulsion Methods for Long-Range AUVs

Weed detection to weed recognition: reviewing 50 years of research to identify constraints and opportunities for large-scale cropping systems

A Flexible System Architecture for Acquisition and Storage of Naturalistic Driving Data

Classification with probabilistic targets

Adaptive exploration of benthic habitats using Gaussian processes

Autonomous exploration of large-scale benthic environments

Predicting Driver Intent from Models of Naturalistic Driving

Multimodal information-theoretic measures for autonomous exploration

GPS/GNSS Consistency in a Multi-path Environment and During Signal Outages

Benthic monitoring with robotic platforms - The experience of Australia

A Methods Guideline for Deep Learning for Tabular Data in Agriculture with a Case Study to Forecast Cereal Yield

Concentrations and co-occurrence correlations of 88 volatile organic compounds (VOCs) in the ambient air of 13 semi-rural to urban locations in the United States

Length of treatment after partial or complete remission in immunotherapy for metastatic melanoma: An EUMelaReg real world study

Therapeutic developments: Masters of medicine

Caring for Coma after Severe Brain Injury: Clinical Practices and Challenges to Improve Outcomes: An Initiative by the Curing Coma Campaign

Application of a source apportionment model in consideration of volatile organic compounds in an urban stream

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