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Computer Science
Netherlands
2025

D-Index & Metrics

Computer Science

D-Index
53
Citations
18993
World Ranking
4697
National Ranking
67

Research.com Recognitions

  • 2025 - Research.com Computer Science in Netherlands Leader Award
  • 2022 - Research.com Computer Science in Netherlands Leader Award
  • 2019 - IEEE ITS Outstanding Research Award

Overview

Dariu M. Gavrila is affiliated with Delft University of Technology in the Netherlands. Their research spans fields primarily in Computer Science and Engineering, focusing on multiple subfields including Computer Vision and Pattern Recognition, Automotive Engineering, Aerospace Engineering, Artificial Intelligence, and Ocean Engineering.

The scientist has contributed substantially to topics within Autonomous Vehicle Technology and Safety, Advanced Vision and Imaging, Robotic Path Planning Algorithms, Advanced Neural Network Applications, Robotics and Sensor-Based Localization, Traffic and Road Safety, and Traffic Prediction and Management Techniques.

Frequent co-authors collaborating with Dariu M. Gavrila include:

  • Julian F. P. Kooij
  • Oscar de Groot
  • Laura Ferranti
  • Javier Alonso-Mora
  • Andras Palffy

Their research has been published across multiple venues, with a significant number of publications appearing in:

  • arXiv (Cornell University)
  • IEEE Transactions on Intelligent Vehicles
  • IEEE Robotics and Automation Letters
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Transactions on Robotics

Among the recent papers authored or co-authored by Dariu M. Gavrila are:

  • Multi-Class Road User Detection With 3+1D Radar in the View-of-Delft Dataset, 2022, IEEE Robotics and Automation Letters
  • A Joint Extrinsic Calibration Tool for Radar, Camera and Lidar, 2021, IEEE Transactions on Intelligent Vehicles
  • Detecting Darting Out Pedestrians With Occlusion Aware Sensor Fusion of Radar and Stereo Camera, 2022, IEEE Transactions on Intelligent Vehicles
  • Scenario-Based Trajectory Optimization in Uncertain Dynamic Environments, 2021, IEEE Robotics and Automation Letters
  • Driver and Pedestrian Mutual Awareness for Path Prediction and Collision Risk Estimation, 2021, IEEE Transactions on Intelligent Vehicles

Dariu M. Gavrila received the IEEE ITS Outstanding Research Award in 2019.

Best Publications

  • The Visual Analysis of Human Movement

    D.M Gavrila

  • Monocular Pedestrian Detection: Survey and Experiments

    M. Enzweiler;D.M. Gavrila

  • 3-D model-based tracking of humans in action: a multi-view approach

    D.M. Gavrila;L.S. Davis

  • Human motion trajectory prediction: a survey:

    Andrey Rudenko;Andrey Rudenko;Luigi Palmieri;Michael Herman;Kris M. Kitani

  • Real-time object detection for "smart" vehicles

    D.M. Gavrila;V. Philomin

  • An Experimental Study on Pedestrian Classification

    S. Munder;D.M. Gavrila

  • Multi-cue Pedestrian Detection and Tracking from a Moving Vehicle

    D. M. Gavrila;S. Munder

  • Pedestrian Detection from a Moving Vehicle

    Dariu Gavrila

  • Autonomous driving goes downtown

    U. Franke;D. Gavrila;S. Gorzig;F. Lindner

  • A Bayesian, Exemplar-Based Approach to Hierarchical Shape Matching

    D.M. Gavrila

  • Will the Pedestrian Cross? A Study on Pedestrian Path Prediction

    Christoph G. Keller;Dariu M. Gavrila

  • Context-Based Pedestrian Path Prediction

    Julian Francisco Pieter Kooij;Julian Francisco Pieter Kooij;Nicolas Schneider;Nicolas Schneider;Fabian Flohr;Fabian Flohr;Dariu M. Gavrila;Dariu M. Gavrila

  • Multi-cue pedestrian classification with partial occlusion handling

    Markus Enzweiler;Angela Eigenstetter;Bernt Schiele;Dariu M. Gavrila

  • Vision-based pedestrian detection: the PROTECTOR system

    D.M. Gavrila;J. Giebel;S. Munder

  • Multi-feature hierarchical template matching using distance transforms

    D.M. Gavrila

  • Pedestrian Path Prediction with Recursive Bayesian Filters: A Comparative Study

    Nicolas Schneider;Nicolas Schneider;Dariu M. Gavrila;Dariu M. Gavrila

  • Multi-class Road User Detection with 3+1D Radar in the View-of-Delft Dataset

    Unknown

  • Active Pedestrian Safety by Automatic Braking and Evasive Steering

    C. G. Keller;Thao Dang;H. Fritz;A. Joos

  • EuroCity Persons: A Novel Benchmark for Person Detection in Traffic Scenes

    Markus Braun;Sebastian Krebs;Fabian Flohr;Dariu M. Gavrila

  • Real-time dense stereo for intelligent vehicles

    W. van der Mark;D.M. Gavrila

  • A Multilevel Mixture-of-Experts Framework for Pedestrian Classification

    M. Enzweiler;D. M. Gavrila

Frequent Co-Authors

Uwe Franke
Uwe Franke Daimler (Germany)
Javier Alonso-Mora
Javier Alonso-Mora Delft University of Technology
Christoph Schnörr
Christoph Schnörr Heidelberg University
Keqiang Li
Keqiang Li Tsinghua University
Marcus Rohrbach
Marcus Rohrbach Facebook (United States)
Larry S. Davis
Larry S. Davis University of Maryland, College Park
Maja Pantic
Maja Pantic Imperial College London
Kris M. Kitani
Kris M. Kitani Carnegie Mellon University
Jean-Marc Odobez
Jean-Marc Odobez Idiap Research Institute
Kai O. Arras
Kai O. Arras Robert Bosch (Germany)

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