Economic Analysis of Using a Renewable Wind Power System at a Signalized Intersection. - Mo Zhao; Anuj Sharma 001; Dave G. Bernt; Joshua A. Meyer; Benjamin Dickey; Scott Rosenbaugh; Elizabeth Jones; Laurence R. Rilett (J. Intell. Transp. Syst., 2013)

Distributed traffic control for reduced fuel consumption and travel time in transportation networks. - Ran Dai; Jing Dong; Anuj Sharma 001 (ECC, 2015)

Reliability of Probe Speed Data for Detecting Congestion Trends. - Yaw Adu-Gyamfi; Anuj Sharma 001; Skylar Knickerbocker; Neal Hawkins; Michael Jackson (ITSC, 2015)

Performance comparison of two model based schemes for estimation of queue and delay at signalized intersections. - S. P. Anusha; Lelitha Vanajakshi; Shankar C. Subramanian; Anuj Sharma 001 (Intelligent Vehicles Symposium, 2015)

Data driven exploration of traffic network system dynamics using high resolution probe data. - Chao Liu 028; Bowen Huang; Mo Zhao; Soumik Sarkar; Umesh Vaidya; Anuj Sharma 001 (CDC, 2016)

Automated techniques for real time platoon detection and identification. - Sidharth Sudheer; Helen Thomas; Anuj Sharma 001; Lelitha Devi Vanajakshi (ITSC, 2016)

TraSER: A traffic signal event-based recorder. - Chenhui Liu; Anuj Sharma 001; Edward Smaglik; Sirisha Kothuri (SoftwareX, 2016)

Traffic Sign Detection from Lower-quality and Noisy Mobile Videos. - Koray Ozcan; Senem Velipasalar; Anuj Sharma 001 (ICDSC, 2017)

The NVIDIA AI City Challenge. - Milind Naphade; David C. Anastasiu; Anuj Sharma 001; Vamsi Jagrlamudi; Hyeran Jeon; Kaikai Liu; Ming-Ching Chang; Siwei Lyu; Jerry Zeyu Gao (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2017)

Region-based deformable fully convolutional networks for multi-class object detection at signalized traffic intersections: NVIDIA AICity challenge 2017 Track 1. - Shuo Wang; Koray Ozcan; Anuj Sharma 001 (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2017)

Development and Implementation of a Model-Based Road Traffic-Control Scheme. - Vincy Verghese; Chenhui Liu; Shankar C. Subramanian; Lelitha Vanajakshi; Anuj Sharma 001 (J. Comput. Civ. Eng., 2017)

Hybrid Optimal Control for Time-Efficient Highway Traffic Management. - Yue Zu; Chenhui Liu; Ran Dai; Anuj Sharma 001 (ACC, 2018)

The 2018 NVIDIA AI City Challenge. - Milind Naphade; Ming-Ching Chang; Anuj Sharma 001; David C. Anastasiu; Vamsi Jagarlamudi; Pranamesh Chakraborty; Tingting Huang; Shuo Wang; Ming-Yu Liu 001; Rama Chellappa; Jenq-Neng Hwang; Siwei Lyu (CVPR Workshops, 2018)

Freeway Traffic Incident Detection from Cameras: A Semi-Supervised Learning Approach. - Pranamesh Chakraborty; Anuj Sharma 001; Chinmay Hegde (ITSC, 2018)

Road Weather Condition Estimation Using Fixed and Mobile Based Cameras. - Koray Ozcan; Anuj Sharma 001; Skylar Knickerbocker; Jennifer Merickel; Neal Hawkins; Matthew Rizzo (CVC (1), 2019)

The 2019 AI City Challenge. - Milind Naphade; Zheng Tang; Ming-Ching Chang; David C. Anastasiu; Anuj Sharma 001; Rama Chellappa; Shuo Wang; Pranamesh Chakraborty; Tingting Huang; Jenq-Neng Hwang; Siwei Lyu (CVPR Workshops, 2019)

A deep learning based solution for construction equipment detection: from development to deployment. - Saeed Arabi; Arya Haghighat; Anuj Sharma 001 (CoRR, 2019)

Driver Behavior Analysis Using Lane Departure Detection Under Challenging Conditions. - Luis G. Riera; Koray Ozcan; Jennifer Merickel; Matthew Rizzo; Soumik Sarkar; Anuj Sharma 001 (CoRR, 2019)

Deep Reinforcement Learning for Adaptive Traffic Signal Control. - Kai Liang Tan; Subhadipto Poddar; Anuj Sharma 001; Soumik Sarkar (CoRR, 2019)

Quantitative analysis of probe data characteristics: Coverage, speed bias and congestion detection precision. - Vesal Ahsani; Mostafa Amin-Naseri; Skylar Knickerbocker; Anuj Sharma 001 (J. Intell. Transp. Syst., 2019)

The 4th AI City Challenge. - Milind Naphade; Shuo Wang; David C. Anastasiu; Zheng Tang; Ming-Ching Chang; Xiaodong Yang 001; Liang Zheng 001; Anuj Sharma 001; Rama Chellappa; Pranamesh Chakraborty (CVPR Workshops, 2020)

Detecting and Tracking Unsafe Lane Departure Events for Predicting Driver Safety in Challenging Naturalistic Driving Data. - Luis G. Riera; Koray Ozcan; Jennifer Merickel; Matthew Rizzo; Soumik Sarkar; Anuj Sharma 001 (IV, 2020)

A deep-learning-based computer vision solution for construction vehicle detection. - Saeed Arabi; Arya Haghighat; Anuj Sharma 001 (Comput. Aided Civ. Infrastructure Eng., 2020)

Deep convolutional generative adversarial networks for traffic data imputation encoding time series as images. - Tongge Huang; Pranamesh Chakraborty; Anuj Sharma 001 (CoRR, 2020)

The 5th AI City Challenge. - Milind Naphade; Shuo Wang; David C. Anastasiu; Zheng Tang; Ming-Ching Chang; Xiaodong Yang 001; Yue Yao; Liang Zheng 001; Pranamesh Chakraborty; Christian E. López; Anuj Sharma 001; Qi Feng 004; et al. (CVPR Workshops, 2021)

ARA: A Wireless Living Lab Vision for Smart and Connected Rural Communities. - Hongwei Zhang 001; Yong Guan; Ahmed E. Kamal 001; Daji Qiao; Mai Zheng; Anish Arora; Ozdal Boyraz; Brian Cox; Thomas Daniels 001; Matthew J. Darr; Doug Jacobson; Ashfaq Khokhar 001; et al. (WiNTECH, 2021)

A Vision-based System for Traffic Anomaly Detection using Deep Learning and Decision Trees. - Armstrong Aboah; Maged Shoman; Vishal Mandal; Sayedomidreza Davami; Yaw Adu-Gyamfi; Anuj Sharma 001 (CoRR, 2021)

The 5th AI City Challenge. - Milind Naphade; Shuo Wang; David C. Anastasiu; Zheng Tang; Ming-Ching Chang; Xiaodong Yang 001; Yue Yao; Liang Zheng 001; Pranamesh Chakraborty; Anuj Sharma 001; Qi Feng 004; Vitaly Ablavsky; et al. (CoRR, 2021)

Automated Approach for Computer Vision-based Vehicle Movement Classification at Traffic Intersections. - Udita Jana; Jyoti Prakash Das Karmakar; Pranamesh Chakraborty; Tingting Huang; Dave Ness; Duane Ritcher; Anuj Sharma 001 (CoRR, 2021)

Deep Learning-Based Object Detection for Unmanned Aerial Systems (UASs)-Based Inspections of Construction Stormwater Practices. - Billur Kazaz; Subhadipto Poddar; Saeed Arabi; Michael A. Perez; Anuj Sharma 001; J. Blake Whitman (Sensors, 2021)

The 6th AI City Challenge. - Milind Naphade; Shuo Wang; David C. Anastasiu; Zheng Tang; Ming-Ching Chang; Yue Yao; Liang Zheng 001; Mohammed Shaiqur Rahman; Archana Venkatachalapathy; Anuj Sharma 001; Qi Feng 004; Vitaly Ablavsky; et al. (CVPR Workshops, 2022)

Synthetic Distracted Driving (SynDD1) dataset for analyzing distracted behaviors and various gaze zones of a driver. - Mohammed Shaiqur Rahman; Archana Venkatachalapathy; Anuj Sharma 001; Jiyang Wang; Senem Velipasalar Gursoy; David C. Anastasiu; Shuo Wang (CoRR, 2022)

Driver Maneuver Detection and Analysis using Time Series Segmentation and Classification. - Armstrong Aboah; Yaw Adu-Gyamfi; Senem Velipasalar Gursoy; Jennifer Merickel; Matthew Rizzo; Anuj Sharma 001 (CoRR, 2022)

Farm Vehicle Following Distance Estimation Using Deep Learning and Monocular Camera Images. - Saeed Arabi; Anuj Sharma 001; Michelle Reyes; Cara Hamann; Corinne Peek-Asa (Sensors, 2022)

A Survey on Driver Behavior Analysis From In-Vehicle Cameras. - Jiyang Wang; Weiheng Chai; Archana Venkatachalapathy; Kai Liang Tan; Arya Haghighat; Senem Velipasalar; Yaw Adu-Gyamfi; Anuj Sharma 001 (IEEE Trans. Intell. Transp. Syst., 2022)

The 7th AI City Challenge. - Milind Naphade; Shuo Wang; David C. Anastasiu; Zheng Tang; Ming-Ching Chang; Yue Yao; Liang Zheng 001; Mohammed Shaiqur Rahman; Meenakshi S. Arya; Anuj Sharma 001; Qi Feng 004; Vitaly Ablavsky; et al. (CVPR Workshops, 2023)

Investigating Speed Deviation Patterns During Glucose Episodes: A Quantile Regression Approach. - Aparna Joshi; Jennifer Merickel; Cyrus V. Desouza; Matthew Rizzo; Pujitha Gunaratne; Anuj Sharma 001 (ITSC, 2023)

Robust and Precise Sidewalk Detection with Ensemble Learning: Enhancing Road Safety and Facilitating Curb Space Management. - Ibne Farabi Shihab; Sudesh Ramesh Bhagat; Anuj Sharma 001 (ITSC, 2023)

Traffic Intersection Vehicle Movement Counts with Temporal and Visual Similarity based Re-Identification. - Sahil Jaiswal; Pranamesh Chakraborty; Tingting Huang; Anuj Sharma 001 (MT-ITS, 2023)

Massively parallelizable approach for evaluating signalized arterial performance using probe-based data. - Subhadipto Poddar; Pranamesh Chakraborty; Anuj Sharma 001; Skylar Knickerbocker; Neal Hawkins (J. Intell. Transp. Syst., 2023)

Driver Head Pose Detection From Naturalistic Driving Data. - Weiheng Chai; Jiajing Chen; Jiyang Wang; Senem Velipasalar; Archana Venkatachalapathy; Yaw Adu-Gyamfi; Jennifer Merickel; Anuj Sharma 001 (IEEE Trans. Intell. Transp. Syst., 2023)

MobiScout: A scalable cloud-based driving and activity monitoring platform featuring an IOS app and a WatchOS extension. - Kojo Konadu Adu-Gyamfi; Karo Ahmadi-Dehrashid; Yaw Okyere Adu-Gyamfi; Pujitha Gunaratne; Anuj Sharma 001 (SoftwareX, 2023)

DeepLocalization: Using change point detection for Temporal Action Localization. - Mohammed Shaiqur Rahman; Ibne Farabi Shihab; Lynna Chu; Anuj Sharma 001 (CVPR Workshops, 2024)

The 8th AI City Challenge. - Shuo Wang; David C. Anastasiu; Zheng Tang; Ming-Ching Chang; Yue Yao; Liang Zheng 001; Mohammed Shaiqur Rahman; Meenakshi S. Arya; Anuj Sharma 001; Pranamesh Chakraborty; Sanjita Prajapati; Quan Kong; et al. (CVPR Workshops, 2024)

Precise and Robust Sidewalk Detection: Leveraging Ensemble Learning to Surpass LLM Limitations in Urban Environments. - Ibne Farabi Shihab; Benjir Islam Alvee; Sudesh Ramesh Bhagat; Anuj Sharma 001 (CoRR, 2024)

Rethinking the Evaluation of Driver Behavior Analysis Approaches. - Weiheng Chai; Jiyang Wang; Jiajing Chen; Senem Velipasalar; Anuj Sharma 001 (IEEE Trans. Intell. Transp. Syst., 2024)

Vision-Language Models Can Identify Distracted Driver Behavior From Naturalistic Videos. - Md. Zahid Hasan; Jiajing Chen; Jiyang Wang; Mohammed Shaiqur Rahman; Ameya Joshi; Senem Velipasalar; Chinmay Hegde; Anuj Sharma 001; Soumik Sarkar (IEEE Trans. Intell. Transp. Syst., 2024)

Driver Age and Its Effect on Key Driving Metrics: Insights from Dynamic Vehicle Data. - Aparna Joshi; Kojo Konadu Adu-Gyamfi; Jennifer Merickel; Pujitha Gunaratne; Anuj Sharma 001 (CoRR, 2025)

Associating transportation planning-related measures with Mild Cognitive Impairment. - Souradeep Chattopadhyay; Guillermo Basulto-Elias; Jun Ha Chang; Matthew Rizzo; Shauna Hallmark; Anuj Sharma 001; Soumik Sarkar (CoRR, 2025)

Accuracy is Not Agreement: Expert-Aligned Evaluation of Crash Narrative Classification Models. - Sudesh Ramesh Bhagat; Ibne Farabi Shihab; Anuj Sharma 001 (CoRR, 2025)

Unlocking Insights Addressing Alcohol Inference Mismatch through Database-Narrative Alignment. - Sudesh Ramesh Bhagat; Kandiboina Raghupathi; Ibne Farabi Shihab; Skylar Knickerbocker; Neal Hawkins; Anuj Sharma 001 (CoRR, 2025)

Driving as a Diagnostic Tool: Scenario-based Cognitive Assessment in Older Drivers From Driving Video. - Md. Zahid Hasan; Guillermo Basulto-Elias; Jun Ha Chang; Sahuna Hallmark; Matthew Rizzo; Anuj Sharma 001; Soumik Sarkar (CoRR, 2025)

The 9th AI City Challenge. - Zheng Tang; Shuo Wang; David C. Anastasiu; Ming-Ching Chang; Anuj Sharma 001; Quan Kong; Norimasa Kobori; Munkhjargal Gochoo; Ganzorig Batnasan; Munkh-Erdene Otgonbold; Fady Alnajjar; Jun-Wei Hsieh; et al. (CoRR, 2025)

Calibrated and Resource-Aware Super-Resolution for Reliable Driver Behavior Analysis. - Ibne Farabi Shihab; Weiheng Chai; Jiyang Wang; Sanjeda Akter; Senem Velipasalar Gursoy; Anuj Sharma 001 (CoRR, 2025)