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Computer Science

D-Index
50
Citations
11547
World Ranking
5559
National Ranking
168

Overview

Eduardo Nebot is affiliated with the University of Sydney in Australia. Their research spans multiple areas within engineering and computer science, focusing on subfields such as computer vision and pattern recognition, automotive engineering, and artificial intelligence. Other subfields include aerospace engineering and safety, risk, reliability, and quality.

The primary topics of their work cover autonomous vehicle technology and safety, advanced neural network applications, and video surveillance and tracking methods. Their research also explores robotics and sensor-based localization, domain adaptation and few-shot learning, remote sensing and LiDAR applications, as well as safety systems engineering in autonomy.

Eduardo Nebot has collaborated frequently with several co-authors, including Stewart Worrall, Mao Shan, Julie Stephany Berrío, Dhanoop Karunakaran, and Karan Narula.

Publications by Eduardo Nebot have appeared in various venues, including:

  • arXiv (Cornell University)
  • 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)
  • Microscopy and Microanalysis
  • IEEE Transactions on Intelligent Transportation Systems
  • Sensors

Recent papers include:

  • Demonstrations of Cooperative Perception: Safety and Robustness in Connected and Automated Vehicle Operations, 2020, Sensors
  • A Comparison of a Direct Electron Detector and a High-Speed Video Camera for a Scanning Precession Electron Diffraction Phase and Orientation Mapping, 2020, Microscopy and Microanalysis
  • Developing and Testing Robust Autonomy: The University of Sydney Campus Data Set, 2020, IEEE Intelligent Transportation Systems Magazine
  • See Eye to Eye: A Lidar-Agnostic 3D Detection Framework for Unsupervised Multi-Target Domain Adaptation, 2022, IEEE Robotics and Automation Letters
  • A Novel Probabilistic V2X Data Fusion Framework for Cooperative Perception, 2022, 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)

Best Publications

  • Optimization of the simultaneous localization and map-building algorithm for real-time implementation

    J.E. Guivant;E.M. Nebot

  • Consistency of the EKF-SLAM Algorithm

    T. Bailey;J. Nieto;J. Guivant;M. Stevens

  • A high integrity IMU/GPS navigation loop for autonomous land vehicle applications

    S. Sukkarieh;E.M. Nebot;H.F. Durrant-Whyte

  • The aiding of a low-cost strapdown inertial measurement unit using vehicle model constraints for land vehicle applications

    G. Dissanayake;S. Sukkarieh;E. Nebot;H. Durrant-Whyte

  • Localization and map building using laser range sensors in outdoor applications

    José E. Guivant;Eduardo Mario Nebot;Stephan Baiker

  • An evidential approach to map-building for autonomous vehicles

    D. Pagac;E.M. Nebot;H. Durrant-Whyte

  • Consistency of the FastSLAM algorithm

    T. Bailey;J. Nieto;E. Nebot

  • Approximate Inference in State-Space Models With Heavy-Tailed Noise

    G. Agamennoni;J. I. Nieto;E. M. Nebot

  • An experiment in autonomous navigation of an underground mining vehicle

    S. Scheding;G. Dissanayake;E.M. Nebot;H. Durrant-Whyte

  • Initial calibration and alignment of low‐cost inertial navigation units for land vehicle applications

    Eduardo Mario Nebot;Hugh F. Durrant-Whyte

  • Naturalistic Driver Intention and Path Prediction Using Recurrent Neural Networks

    Alex Zyner;Stewart Worrall;Eduardo Nebot

  • A Recurrent Neural Network Solution for Predicting Driver Intention at Unsignalized Intersections

    Alex Zyner;Stewart Worrall;Eduardo M. Nebot

  • Data association for mobile robot navigation: a graph theoretic approach

    T. Bailey;E.M. Nebot;J.K. Rosenblatt;H.F. Durrant-Whyte

  • Real time data association for FastSLAM

    J. Nieto;J. Guivant;E. Nebot;S. Thrun

  • Autonomous Navigation and Map building Using Laser Range Sensors in Outdoor Applications

    Jose Guivant;Eduardo Nebot;Stephan Baiker

  • Simultaneous localization and map building using natural features and absolute information

    José E. Guivant;Favio R. Masson;Eduardo Mario Nebot

  • Development of a nonlinear psi-angle model for large misalignment errors and its application in INS alignment and calibration

    Xiaoying Kong;E.M. Nebot;H. Durrant-Whyte

  • Artificial neural network implementation of chemistry with pdf simulation of H2/CO2 flames

    Farid Christo;AR Masri;EM Nebot

  • An outlier-robust Kalman filter

    Gabriel Agamennoni;Juan I. Nieto;Eduardo M. Nebot

  • Recursive scan-matching SLAM

    Juan Nieto;Tim Bailey;Eduardo Nebot

  • Localization of Autonomous Guided Vehicles

    Hugh Durrant-Whyte;David Rye;Eduardo Nebot

  • FastSLAM: An Efficient Solution to the Simultaneous Localization And Mapping Problem with Unknown Data

    Sebastian Thrun;Michael Montemerlo;Daphne Koller;Ben Wegbreit

Frequent Co-Authors

Juan Nieto
Juan Nieto Microsoft (United States)
Hugh Durrant-Whyte
Hugh Durrant-Whyte University of Sydney
Salah Sukkarieh
Salah Sukkarieh University of Sydney
Gamini Dissanayake
Gamini Dissanayake University of Technology Sydney
Miguel Angel Sotelo
Miguel Angel Sotelo University of Alcalá
Sebastian Thrun
Sebastian Thrun Stanford University
Peter Corke
Peter Corke Queensland University of Technology
Luis M. Bergasa
Luis M. Bergasa University of Alcalá
Andreas G. Andreou
Andreas G. Andreou Johns Hopkins University
Daphne Koller
Daphne Koller insitro Inc.

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