Anuj Sharma

Orcid: 0000-0001-5929-5120

Affiliations:
  • Iowa State University, Civil, Construction and Environmental Engineering, Ames, IA, USA
  • University of Nebraska-Lincoln, Department of Civil Engineering, Lincoln, NE, USA (2008 - 2014)
  • Purdue University, West Lafayette, IN, USA (PhD 2008)


According to our database1, Anuj Sharma authored at least 54 papers between 2013 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Calibrated and Resource-Aware Super-Resolution for Reliable Driver Behavior Analysis.
CoRR, September, 2025

The 9th AI City Challenge.
CoRR, August, 2025

Driving as a Diagnostic Tool: Scenario-based Cognitive Assessment in Older Drivers From Driving Video.
CoRR, July, 2025

Unlocking Insights Addressing Alcohol Inference Mismatch through Database-Narrative Alignment.
CoRR, June, 2025

Accuracy is Not Agreement: Expert-Aligned Evaluation of Crash Narrative Classification Models.
CoRR, April, 2025

Associating transportation planning-related measures with Mild Cognitive Impairment.
CoRR, April, 2025

Driver Age and Its Effect on Key Driving Metrics: Insights from Dynamic Vehicle Data.
CoRR, January, 2025

2024
Vision-Language Models Can Identify Distracted Driver Behavior From Naturalistic Videos.
IEEE Trans. Intell. Transp. Syst., September, 2024

Rethinking the Evaluation of Driver Behavior Analysis Approaches.
IEEE Trans. Intell. Transp. Syst., August, 2024

Precise and Robust Sidewalk Detection: Leveraging Ensemble Learning to Surpass LLM Limitations in Urban Environments.
CoRR, 2024


DeepLocalization: Using change point detection for Temporal Action Localization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
MobiScout: A scalable cloud-based driving and activity monitoring platform featuring an IOS app and a WatchOS extension.
SoftwareX, December, 2023

Driver Head Pose Detection From Naturalistic Driving Data.
IEEE Trans. Intell. Transp. Syst., September, 2023

Massively parallelizable approach for evaluating signalized arterial performance using probe-based data.
J. Intell. Transp. Syst., July, 2023

Traffic Intersection Vehicle Movement Counts with Temporal and Visual Similarity based Re-Identification.
Proceedings of the 8th International Conference on Models and Technologies for Intelligent Transportation Systems, 2023

Robust and Precise Sidewalk Detection with Ensemble Learning: Enhancing Road Safety and Facilitating Curb Space Management.
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023

Investigating Speed Deviation Patterns During Glucose Episodes: A Quantile Regression Approach.
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023


2022
A Survey on Driver Behavior Analysis From In-Vehicle Cameras.
IEEE Trans. Intell. Transp. Syst., 2022

Farm Vehicle Following Distance Estimation Using Deep Learning and Monocular Camera Images.
Sensors, 2022

Driver Maneuver Detection and Analysis using Time Series Segmentation and Classification.
CoRR, 2022

Synthetic Distracted Driving (SynDD1) dataset for analyzing distracted behaviors and various gaze zones of a driver.
CoRR, 2022


2021
Deep Learning-Based Object Detection for Unmanned Aerial Systems (UASs)-Based Inspections of Construction Stormwater Practices.
Sensors, 2021

Automated Approach for Computer Vision-based Vehicle Movement Classification at Traffic Intersections.
CoRR, 2021

The 5th AI City Challenge.
CoRR, 2021

A Vision-based System for Traffic Anomaly Detection using Deep Learning and Decision Trees.
CoRR, 2021

ARA: A Wireless Living Lab Vision for Smart and Connected Rural Communities.
Proceedings of the WiNTECH'21: Proceedings of the 15th ACM Workshop on Wireless Network Testbeds, 2021

The 5th AI City Challenge.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Deep convolutional generative adversarial networks for traffic data imputation encoding time series as images.
CoRR, 2020

A deep-learning-based computer vision solution for construction vehicle detection.
Comput. Aided Civ. Infrastructure Eng., 2020

Detecting and Tracking Unsafe Lane Departure Events for Predicting Driver Safety in Challenging Naturalistic Driving Data.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

The 4th AI City Challenge.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Quantitative analysis of probe data characteristics: Coverage, speed bias and congestion detection precision.
J. Intell. Transp. Syst., 2019

Deep Reinforcement Learning for Adaptive Traffic Signal Control.
CoRR, 2019

Driver Behavior Analysis Using Lane Departure Detection Under Challenging Conditions.
CoRR, 2019

A deep learning based solution for construction equipment detection: from development to deployment.
CoRR, 2019

The 2019 AI City Challenge.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Road Weather Condition Estimation Using Fixed and Mobile Based Cameras.
Proceedings of the Advances in Computer Vision, 2019

2018
Freeway Traffic Incident Detection from Cameras: A Semi-Supervised Learning Approach.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

The 2018 NVIDIA AI City Challenge.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Hybrid Optimal Control for Time-Efficient Highway Traffic Management.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Development and Implementation of a Model-Based Road Traffic-Control Scheme.
J. Comput. Civ. Eng., 2017

Region-based deformable fully convolutional networks for multi-class object detection at signalized traffic intersections: NVIDIA AICity challenge 2017 Track 1.
Proceedings of the 2017 IEEE SmartWorld, 2017

The NVIDIA AI City Challenge.
Proceedings of the 2017 IEEE SmartWorld, 2017

Traffic Sign Detection from Lower-quality and Noisy Mobile Videos.
Proceedings of the 11th International Conference on Distributed Smart Cameras, 2017

2016
TraSER: A traffic signal event-based recorder.
SoftwareX, 2016

Automated techniques for real time platoon detection and identification.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

Data driven exploration of traffic network system dynamics using high resolution probe data.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015
Performance comparison of two model based schemes for estimation of queue and delay at signalized intersections.
Proceedings of the 2015 IEEE Intelligent Vehicles Symposium, 2015

Reliability of Probe Speed Data for Detecting Congestion Trends.
Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

Distributed traffic control for reduced fuel consumption and travel time in transportation networks.
Proceedings of the 14th European Control Conference, 2015

2013
Economic Analysis of Using a Renewable Wind Power System at a Signalized Intersection.
J. Intell. Transp. Syst., 2013


  Loading...