World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
36
Citations
5087
World Ranking
8733
National Ranking
352

Overview

Nicolas Saunier is affiliated with Polytechnique Montréal in Canada. Their research primarily spans the fields of Engineering and Computer Science, with significant focus on subfields such as Computer Vision and Pattern Recognition, Transportation, Safety, Risk, Reliability and Quality, Building and Construction, and Signal Processing.

Their work covers a range of topics, including Video Surveillance and Tracking Methods, Traffic Prediction and Management Techniques, Traffic and Road Safety, Urban Transport and Accessibility, Transportation Planning and Optimization, Autonomous Vehicle Technology and Safety, and Advanced Neural Network Applications.

Frequent coauthors collaborating with Nicolas Saunier include Guillaume-Alexandre Bilodeau, Xinyu Chen, Luis Miranda-Moreno, Lijun Sun, and Hughes Perreault.

Publication venues where Nicolas Saunier has frequently disseminated their work include:

  • arXiv (Cornell University)
  • Transportation research procedia
  • PolyPublie (École Polytechnique de Montréal)
  • Accident Analysis & Prevention
  • SSRN Electronic Journal

Recent papers authored or coauthored by Nicolas Saunier include:

  • Low-Rank Autoregressive Tensor Completion for Spatiotemporal Traffic Data Imputation, 2021, arXiv (Cornell University)
  • Scalable low-rank tensor learning for spatiotemporal traffic data imputation, 2021, Transportation Research Part C Emerging Technologies
  • Study of automated shuttle interactions in city traffic using surrogate measures of safety, 2021, Transportation Research Part C Emerging Technologies
  • Do stop-signs improve the safety for all road users? A before-after study of stop-controlled intersections using video-based trajectories and surrogate measures of safety, 2022, Accident Analysis & Prevention
  • FFAVOD: Feature fusion architecture for video object detection, 2021, Pattern Recognition Letters

Best Publications

  • A clustering regression approach: A comprehensive injury severity analysis of pedestrian–vehicle crashes in New York, US and Montreal, Canada

    Mohamed Gomaa Mohamed;Nicolas Saunier;Luis F. Miranda-Moreno;Satish V. Ukkusuri

  • A feature-based tracking algorithm for vehicles in intersections

    N. Saunier;T. Sayed

  • Automated Analysis of Pedestrian-Vehicle Conflicts Using Video Data

    Karim Ismail;Tarek Sayed;Nicolas Saunier;Connie Lim

  • The impact of waiting time and other factors on dangerous pedestrian crossings and violations at signalized intersections: A case study in Montreal

    Marilyne Brosseau;Sohail Zangenehpour;Nicolas Saunier;Luis F Miranda-Moreno

  • Large-Scale Automated Analysis of Vehicle Interactions and Collisions

    Nicolas Saunier;Tarek Sayed;Karim Ismail

  • Automated Analysis of Pedestrian–Vehicle Conflicts: Context for Before-and-After Studies

    Karim Ismail;Karim Ismail;Tarek Sayed;Nicolas Saunier

  • Probabilistic Framework for Automated Analysis of Exposure to Road Collisions

    Nicolas Saunier;Tarek A Sayed

  • Low-Rank Autoregressive Tensor Completion for Spatiotemporal Traffic Data Imputation

    Xinyu Chen;Mengying Lei;Nicolas Saunier;Lijun Sun

  • Urban Tracker: Multiple object tracking in urban mixed traffic

    Jean-Philippe Jodoin;Guillaume-Alexandre Bilodeau;Nicolas Saunier

  • Automated Analysis of Road Safety with Video Data

    Nicolas Saunier;Tarek A Sayed

  • A novel framework to evaluate pedestrian safety at non-signalized locations.

    Ting Fu;Luis Miranda-Moreno;Nicolas Saunier

  • Change Detection in Feature Space Using Local Binary Similarity Patterns

    Guillaume-Alexandre Bilodeau;Jean-Philippe Jodoin;Nicolas Saunier

  • Large-scale automated proactive road safety analysis using video data

    Paul St-Aubin;Nicolas Saunier;Luis Miranda-Moreno

  • Methodologies for Aggregating Indicators of Traffic Conflict

    Karim Ismail;Tarek Sayed;Nicolas Saunier

  • Are signalized intersections with cycle tracks safer? A case-control study based on automated surrogate safety analysis using video data.

    Sohail Zangenehpour;Jillian Strauss;Luis F. Miranda-Moreno;Nicolas Saunier

  • Probabilistic Collision Prediction for Vision-Based Automated Road Safety Analysis

    N. Saunier;T. Sayed;C. Lim

  • A methodology for precise camera calibration for data collection applications in urban traffic scenes

    Unknown

  • Flexible, Mobile Video Camera System and Open Source Video Analysis Software for Road Safety and Behavioral Analysis:

    Stewart Jackson;Luis F Miranda-Moreno;Paul St-Aubin;Nicolas Saunier

  • Automated classification based on video data at intersections with heavy pedestrian and bicycle traffic: Methodology and application

    Sohail Zangenehpour;Luis F. Miranda-Moreno;Nicolas Saunier

  • Investigating secondary pedestrian-vehicle interactions at non-signalized intersections using vision-based trajectory data

    Ting Fu;Ting Fu;Weichao Hu;Weichao Hu;Luis Miranda-Moreno;Nicolas Saunier

  • Vehicle manoeuvers as surrogate safety measures: Extracting data from the gps-enabled smartphones of regular drivers

    Joshua Stipancic;Luis Miranda-Moreno;Nicolas Saunier

  • Analysis of Pedestrian Travel with Static Bluetooth Sensors

    Yegor Malinovskiy;Nicolas Saunier;Yinhai Wang

  • A Novel Framework to Evaluate Pedestrian Safety at Non-Signalized Locations Using Video-Based Trajectory Data

    Ting Fu;Luis Miranda-Moreno;Nicolas Saunier

  • Automated Classification Based on Video Data at Intersections with Heavy Pedestrian and Bicycle Traffic: Methodology and Application

    S Zangenehpour;Miranda-Moreno;Nicolas Saunier

Frequent Co-Authors

Luis F Miranda-Moreno
Luis F Miranda-Moreno McGill University
Tarek Sayed
Tarek Sayed University of British Columbia
Tom Brijs
Tom Brijs Hasselt University
Greg Mori
Greg Mori Simon Fraser University
Geert Wets
Geert Wets Hasselt University
Yinhai Wang
Yinhai Wang University of Washington
Marianne Hatzopoulou
Marianne Hatzopoulou University of Toronto
Satish V. Ukkusuri
Satish V. Ukkusuri Purdue University West Lafayette

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Engineering and Technology studies in the USA opens up diverse professional opportunities. Complementary fields such as administration, leadership, and operations management are increasingly vital for tech-driven industries, and online education provides flexible options to develop these in-demand skills.

Interested in the organizational side of technical environments? An office administration degree helps you master essential administrative skills, while an business administration online degree broadens your understanding of management and business strategy.

For those aiming for leadership or executive roles, advancing with an online master's degree in organizational leadership can refine your ability to manage teams and drive organizational success. Alternatively, MBA programs in operations management specialize in optimizing processes—skills highly valued in tech and engineering sectors.

Choosing these related online degrees can expand your career prospects, enhance your leadership capabilities, and position you for advancement in technology-driven companies.

Best Scientists Citing Nicolas Saunier

Trending Scientists

Recently Published Articles