World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
95
Citations
37075
World Ranking
462
National Ranking
255

Research.com Recognitions

  • 2010 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to vision systems for situational awareness, intelligent robotics and human-centered vehicle safety systems
  • 1989 - SPIE Fellow

Overview

Mohan M. Trivedi is affiliated with the University of California, San Diego in the United States. Their research primarily intersects the fields of Engineering and Computer Science with a particular focus on several specialized subfields including Computer Vision and Pattern Recognition, Automotive Engineering, Artificial Intelligence, Social Psychology, and Safety, Risk, Reliability and Quality.

Their work addresses a range of main topics within these fields, notably Autonomous Vehicle Technology and Safety, Advanced Neural Network Applications, Video Surveillance and Tracking Methods, Sleep and Work-Related Fatigue, Human-Automation Interaction and Safety, Traffic and Road Safety, and Gaze Tracking and Assistive Technology.

Trivedi has been a contributor to numerous publication venues with a significant number of works published in arXiv (Cornell University), totaling 32 papers. Other frequent venues include IEEE Transactions on Intelligent Vehicles, IEEE Robotics and Automation Letters, Munich Personal RePEc Archive (Ludwig Maximilian University of Munich), and Pattern Recognition Letters.

Some recent publications by Trivedi include the following:

  • "Trajectory Forecasts in Unknown Environments Conditioned on Grid-Based Plans" (2020) published in arXiv (Cornell University)
  • "Scene compliant trajectory forecast with agent-centric spatio-temporal grids" (2020) published in Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)
  • "TrackMPNN: A Message Passing Graph Neural Architecture for Multi-Object Tracking" (2021) published in arXiv (Cornell University)
  • "Patterns of vehicle lights: Addressing complexities of camera-based vehicle light datasets and metrics" (2024) published in Pattern Recognition Letters
  • "Scene Compliant Trajectory Forecast With Agent-Centric Spatio-Temporal Grids" (2020) published in IEEE Robotics and Automation Letters

Frequent co-authors of Trivedi include Ross Greer, Akshay Gopalkrishnan, Nachiket Deo, Akshay Rangesh, and Walter Zimmer.

The scientist's contributions have been recognized with awards such as Fellow of the International Association for Pattern Recognition (IAPR) in 2010, awarded for work related to vision systems for situational awareness, intelligent robotics, and human-centered vehicle safety systems, and SPIE Fellow in 1989.

Best Publications

  • Head Pose Estimation in Computer Vision: A Survey

    E. Murphy-Chutorian;M.M. Trivedi

  • Video-based lane estimation and tracking for driver assistance: survey, system, and evaluation

    J.C. McCall;M.M. Trivedi

  • Detecting moving shadows: algorithms and evaluation

    A. Prati;I. Mikic;M.M. Trivedi;R. Cucchiara

  • Looking at Vehicles on the Road: A Survey of Vision-Based Vehicle Detection, Tracking, and Behavior Analysis

    Sayanan Sivaraman;Mohan Manubhai Trivedi

  • Driving style recognition using a smartphone as a sensor platform

    Derick A. Johnson;Mohan M. Trivedi

  • Vision-Based Traffic Sign Detection and Analysis for Intelligent Driver Assistance Systems: Perspectives and Survey

    A. Mogelmose;M. M. Trivedi;T. B. Moeslund

  • Convolutional Social Pooling for Vehicle Trajectory Prediction

    Nachiket Deo;Mohan M. Trivedi

  • Pedestrian Protection Systems: Issues, Survey, and Challenges

    T. Gandhi;M.M. Trivedi

  • Multi-Modal Trajectory Prediction of Surrounding Vehicles with Maneuver based LSTMs

    Nachiket Deo;Mohan M. Trivedi

  • A Survey of Vision-Based Trajectory Learning and Analysis for Surveillance

    B.T. Morris;M.M. Trivedi

  • Segmentation of a High Resolution Urban Scene Using Texture Operators.

    Richard W. Conners;Mohan M. Trivedi;Charles A. Harlow

  • Hand Gesture Recognition in Real-Time for Automotive Interfaces: A Multimodal Vision-based Approach and Evaluations

    Eshed Ohn-Bar;Mohan Manubhai Trivedi

  • A General Active-Learning Framework for On-Road Vehicle Recognition and Tracking

    Sayanan Sivaraman;Mohan Manubhai Trivedi

  • Human Body Model Acquisition and Tracking Using Voxel Data

    Ivana Mikić;Mohan Trivedi;Edward Hunter;Pamela Cosman

  • Digital processing of video images

    Mohan M. Trivedi;Kohsia S. Huang

  • Trajectory Learning for Activity Understanding: Unsupervised, Multilevel, and Long-Term Adaptive Approach

    B. T. Morris;M. M. Trivedi

  • Joint Angles Similarities and HOG2 for Action Recognition

    Eshed Ohn-Bar;Mohan M. Trivedi

  • Looking-in and looking-out of a vehicle : Computer-vision-based enhanced vehicle safety

    Mohan Manubhai Trivedi;Tarak Gandhi;Joel Mccall

  • Intra-Vehicle Networks: A Review

    Shane Tuohy;Martin Glavin;Ciaran Hughes;Edward Jones

  • Lane Change Intent Analysis Using Robust Operators and Sparse Bayesian Learning

    J.C. McCall;D.P. Wipf;M.M. Trivedi;B.D. Rao

Frequent Co-Authors

Thomas B. Moeslund
Thomas B. Moeslund Aalborg University
Bhaskar D. Rao
Bhaskar D. Rao University of California, San Diego
Hiroshi Ishiguro
Hiroshi Ishiguro Osaka University
Andrea Prati
Andrea Prati University of Parma
Marco Leo
Marco Leo National Research Council (CNR)
Gerard Medioni
Gerard Medioni Amazon (United States)
Giovanni Maria Farinella
Giovanni Maria Farinella University of Catania
Rita Cucchiara
Rita Cucchiara University of Modena and Reggio Emilia
Robert P. Loce
Robert P. Loce Datto, Inc.
Pamela C. Cosman
Pamela C. Cosman University of California, San Diego

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 online education can open numerous pathways for aspiring Computer Science professionals. For those seeking advanced qualifications, consider the most affordable online phd programs, which allow you to earn a prestigious degree while balancing work and personal commitments.

If you’re interested in education and wish to fast-track your credentials, check out the easiest edd programs. These accelerated programs can help you qualify for leadership roles in academia or educational technology more quickly than traditional routes.

For those looking to enter the tech workforce rapidly, an associate degree in 6 months online offers a fast, flexible entry point into IT careers. This option is ideal for individuals wanting foundational skills with minimal downtime.

Computer Science pairs well with business acumen. Earning a credential from one of the best online business degree programs can boost your versatility and open the door to management-level tech opportunities.

Best Scientists Citing Mohan M. Trivedi

Trending Scientists

Recently Published Articles