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D-Index & Metrics

Engineering and Technology

D-Index
37
Citations
7674
World Ranking
8276
National Ranking
526

Research.com Recognitions

  • 2010 - Fellow of the Royal Society of Edinburgh

Overview

David M. Lane is affiliated with Heriot-Watt University in the United Kingdom. Their research spans multiple fields, primarily Medicine and Engineering, with a focus on subfields such as Psychiatry and Mental Health, Cognitive Neuroscience, Small Animals, Sociology and Political Science, and Artificial Intelligence.

The main topics in their body of work include Attention Deficit Hyperactivity Disorder, Autism Spectrum Disorder Research, Child Nutrition and Feeding Issues, Veterinary Orthopedics and Neurology, Underwater Vehicles and Communication Systems, Robot Manipulation and Learning, and Reinforcement Learning in Robotics.

Recent scientific papers by David M. Lane cover a range of interdisciplinary subjects:

  • "Learning Mobile Manipulation through Deep Reinforcement Learning" (2020), published in Sensors
  • "ADHD severity as a predictor of cognitive task performance in children with Autism Spectrum Disorder (ASD)" (2021), published in Research in Developmental Disabilities
  • "Training Users to Identify Phishing Emails" (2021), published in Journal of Educational Computing Research
  • "Executive Function in Autism: Association with ADHD and ASD Symptoms" (2021), published in Journal of Autism and Developmental Disorders
  • "Effects of Extended-Release Methylphenidate Treatment on Cognitive Task Performance in Children with Autism Spectrum Disorder and Attention-Deficit/Hyperactivity Disorder" (2020), published in Journal of Child and Adolescent Psychopharmacology

David M. Lane has collaborated frequently with a group of coauthors, including:

  • Rosleen Mansour
  • Anthony R. Ward
  • Katherine A. Loveland
  • Michael G. Aman
  • Deborah A. Pearson

Their publications are distributed across specialized journals such as Sensors, Research in Developmental Disabilities, Journal of Educational Computing Research, Journal of Autism and Developmental Disorders, and Journal of Child and Adolescent Psychopharmacology.

In recognition of their professional contributions, David M. Lane was awarded the title of Fellow of the Royal Society of Edinburgh in 2010.

Best Publications

  • Review of fish swimming modes for aquatic locomotion

    M. Sfakiotakis;D.M. Lane;J.B.C. Davies

  • Path Planning for Autonomous Underwater Vehicles

    C. Petres;Y. Pailhas;P. Patron;Y. Petillot

  • Underwater vehicle obstacle avoidance and path planning using a multi-beam forward looking sonar

    Y. Petillot;I. Tena Ruiz;D.M. Lane

  • Autonomous docking for Intervention-AUVs using sonar and video-based real-time 3D pose estimation

    J. Evans;P. Redmond;C. Plakas;K. Hamilton

  • Concurrent mapping and localization using sidescan sonar

    I. Tena Ruiz;S. de Raucourt;Y. Petillot;D.M. Lane

  • AMADEUS: advanced manipulation for deep underwater sampling

    D.M. Lane;J.B.C. Davies;G. Casalino;G. Bartolini

  • The AMADEUS dextrous subsea hand: design, modeling, and sensor processing

    D.M. Lane;J.B.C. Davies;G. Robinson;D.J. O'Brien

  • Multiresolution 3-D Reconstruction From Side-Scan Sonar Images

    E. Coiras;Y. Petillot;D.M. Lane

  • Robust tracking of multiple objects in sector-scan sonar image sequences using optical flow motion estimation

    D.M. Lane;M.J. Chantler;Dongyong Dai

  • Underwater path planing using fast marching algorithms

    C. Petres;Y. Pailhas;Y. Petillot;D. Lane

  • Bio-inspired wideband sonar signals based on observations of the bottlenose dolphin (Tursiops truncatus).

    Christopher Capus;Yan Pailhas;Keith Brown;David Michael Lane

  • Semantic Knowledge-Based Framework to Improve the Situation Awareness of Autonomous Underwater Vehicles

    Emilio Miguelañez;Pedro Patrón;Keith E Brown;Yvan R Petillot

  • Learning Mobile Manipulation through Deep Reinforcement Learning.

    Cong Wang;Qifeng Zhang;Qiyan Tian;Shuo Li

  • Texture analysis for seabed classification: co-occurrence matrices vs. self-organizing maps

    N. Pican;E. Trucco;M. Ross;D.M. Lane

  • Hybrid position/force control of a hydraulic underwater manipulator

    M.W. Dunnigan;D.M. Lane;A.C. Clegg;I. Edwards

  • The ARROWS project: adapting and developing robotics technologies for underwater archaeology

    Benedetto Allotta;Riccardo Costanzi;Alessandro Ridolfi;Carlo Colombo

  • Feature extraction and data association for AUV concurrent mapping and localisation

    I. Tena Ruiz;Y. Petillot;D.M. Lane;C. Salson

  • A 2D visual servoing for underwater vehicle station keeping

    J.-F. Lots;D.M. Lane;E. Trucco;F. Chaumette

  • Automatic indexing of underwater survey video: algorithm and benchmarking method

    K. Lebart;C. Smith;E. Trucco;D.M. Lane

  • Two novel approaches for unmanned underwater vehicle path planning: constrained optimisation and semi-infinite constrained optimisation

    Yongji Wang;David M. Lane;Gavin J. Falconer

  • A 2-D visual servoing for underwater vehicle station keeping

    Jean-François Lots;David M. Lane;Emanuele Trucco;François Chaumette

Frequent Co-Authors

Yvan Petillot
Yvan Petillot Heriot-Watt University
Emanuele Trucco
Emanuele Trucco University of Dundee
Neil Robertson
Neil Robertson University of Edinburgh
Yongji Wang
Yongji Wang Huazhong University of Science and Technology
Miquel Canals
Miquel Canals University of Barcelona
Jozée Sarrazin
Jozée Sarrazin University of Western Brittany
François Chaumette
François Chaumette University of Rennes
John E. Fletcher
John E. Fletcher University of New South Wales
Giorgio Bartolini
Giorgio Bartolini Consiglio Nazionale delle Ricerche - CNR
Antonio M. Pascoal
Antonio M. Pascoal Instituto Superior Técnico

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