Dynamics modeling of robotic manipulators using an artificial neural network. - Azim Eskandarian; Nabih E. Bedewi; Bruce M. Kramer; Anthony J. Barbera (J. Field Robotics, 1994)

Research advances in intelligent collision avoidance and adaptive cruise control. - Ardalan Vahidi; Azim Eskandarian (IEEE Trans. Intell. Transp. Syst., 2003)

The Threat of Intelligent Collisions. - Jeremy J. Blum; Azim Eskandarian (IT Prof., 2004)

Challenges of intervehicle ad hoc networks. - Jeremy J. Blum; Azim Eskandarian; Lance J. Hoffman (IEEE Trans. Intell. Transp. Syst., 2004)

Managing Effectiveness and Acceptability in Intelligent Speed Adaptation Systems. - Jeremy J. Blum; Azim Eskandarian (ITSC, 2006)

Fast, robust message forwarding for inter-vehicle communication netw. - Jeremy J. Blum; Azim Eskandarian (ITSC, 2006)

A Reliable Link-Layer Protocol for Robust and Scalable Intervehicle Communications. - Jeremy J. Blum; Azim Eskandarian (IEEE Trans. Intell. Transp. Syst., 2007)

Denial of Service Attacks on Inter-Vehicle Communication Networks. - Jeremy J. Blum; Andrew Neiswender; Azim Eskandarian (ITSC, 2008)

Enhanced Active Steering System for Collision Avoidance Maneuvers. - Azim Eskandarian; Damoon Soudbakhsh (ITSC, 2008)

Efficient Certificate Distribution for Vehicle Heartbeat Messages. - Jeremy J. Blum; Alexey Tararakin; Azim Eskandarian (VTC Fall, 2008)

Avoiding Timeslot Boundary Synchronization for Multihop Message Broadcast in Vehicular Networks. - Jeremy J. Blum; Azim Eskandarian (VTC Spring, 2009)

Vehicle steering maneuvers with direct trajectory optimization. - Damoon Soudbakhsh; Azim Eskandarian; David Chichka (Intelligent Vehicles Symposium, 2010)

An emergency evasive maneuver algorithm for vehicles. - Damoon Soudbakhsh; Azim Eskandarian; J. Moreau (ITSC, 2011)

Synchronization challenges in media access coordination for vehicular ad hoc networks. - Jeremy J. Blum; Rajesh Natarajan; Azim Eskandarian (Wirel. Commun. Mob. Comput., 2011)

Comparison of linear and non-linear controllers for active steering of vehicles in evasive manoeuvres. - Damoon Soudbakhsh; Azim Eskandarian (J. Syst. Control. Eng., 2012)

Evaluation of lateral trajectories with different controllers for multi-vehicle merging in platoon. - Mohammad Goli; Azim Eskandarian (ICCVE, 2014)

The effect of information, and communication topologies on input-to-state stability of platoon. - Mohammad Goli; Azim Eskandarian (ITSC, 2016)

Experimental evaluation of cooperative adaptive cruise control with autonomous mobile robots. - Yuan Lin; Azim Eskandarian (CCTA, 2017)

Integrating Odometry and Inter-vehicular Communication for Adaptive Cruise Control with Target Detection Loss. - Yuan Lin; Chaoxian Wu; Azim Eskandarian (Intelligent Vehicles Symposium, 2018)

MPC-based Lateral Controller with Look-Ahead Design for Autonomous Multi-vehicle Merging into Platoon. - Mohammad Goli; Azim Eskandarian (ACC, 2019)

Cooperative Adaptive Cruise Control With Adaptive Kalman Filter Subject to Temporary Communication Loss. - Chaoxian Wu; Yuan Lin; Azim Eskandarian (IEEE Access, 2019)

Integrating Inter-vehicular Communication, Vehicle Localization, and a Digital Map for Cooperative Adaptive Cruise Control with Target Detection Loss. - Yuan Lin; Azim Eskandarian (CoRR, 2019)

A Computationally Efficient Multiclass Time-Frequency Common Spatial Pattern Analysis on EEG Motor Imagery. - Ce Zhang 008; Azim Eskandarian (EMBC, 2020)

Longitudinal Control Algorithm for Cooperative Autonomous Vehicles to Avoid Accident with Vulnerable Road Users. - Prasenjit Ghorai; Azim Eskandarian (ITSC, 2020)

Estimating the Likelihood of Reaching a Road Target Using Multiple Lane Changes for Driver Assistance. - Goodarz Mehr; Azim Eskandarian (ITSC, 2020)

Predictive Motion Planning of Vehicles at Intersection Using a New GPR and RRT. - Wu Xihui; Azim Eskandarian (ITSC, 2020)

Modified Autoencoder Training and Scoring for Robust Unsupervised Anomaly Detection in Deep Learning. - Nicholas Merrill; Azim Eskandarian (IEEE Access, 2020)

Traffic Delay Reduction at Highway Diverges Using an Advance Warning System Based on a Probabilistic Prediction Model. - Goodarz Mehr; Azim Eskandarian (CoRR, 2020)

A Probabilistic Approach to Driver Assistance for Delay Reduction at Congested Highway Lane Drops. - Goodarz Mehr; Azim Eskandarian (CoRR, 2020)

Automatic LiDAR Extrinsic Calibration System using Photodetector and Planar Board for Large-scale Applications. - Ji-Hwan You; Seon Taek Oh; Jae Eun Park; Azim Eskandarian; Young-Keun Kim (CoRR, 2020)

Accurate Alignment Inspection System for Low-resolution Automotive and Mobility LiDAR. - Seontake Oh; Ji-Hwan You; Azim Eskandarian; Young-Keun Kim (CoRR, 2020)

Sentinel: An Onboard System for Intelligent Vehicles to Reduce Traffic Delay during Freeway Incidents. - Goodarz Mehr; Azim Eskandarian (CoRR, 2020)

Merging Strategies, Trajectory Planning and Controls for Platoon of Connected, and Autonomous Vehicles. - Mohammad Goli; Azim Eskandarian (Int. J. Intell. Transp. Syst. Res., 2020)

The 2014-2017 George N. Saridis Best Transactions Paper Award. - Fei-Yue Wang 001; Azim Eskandarian; Ljubo B. Vlacic; Petros A. Ioannou (IEEE Trans. Intell. Transp. Syst., 2020)

Attention-based Neural Network for Driving Environment Complexity Perception. - Ce Zhang 008; Azim Eskandarian; Xuelai Du (ITSC, 2021)

EEG-Inception: An Accurate and Robust End-to-End Neural Network for EEG-based Motor Imagery Classification. - Ce Zhang 008; Young-Keun Kim; Azim Eskandarian (CoRR, 2021)

A Survey and Tutorial of EEG-Based Brain Monitoring for Driver State Analysis. - Ce Zhang 008; Azim Eskandarian (IEEE CAA J. Autom. Sinica, 2021)

The 2014-2017 George N. Saridis Best Transactions Paper Award [Society News]. - Fei-Yue Wang 001; Azim Eskandarian; Ljubo B. Vlacic; Petros A. Ioannou (IEEE Intell. Transp. Syst. Mag., 2021)

Research Advances and Challenges of Autonomous and Connected Ground Vehicles. - Azim Eskandarian; Chaoxian Wu; Chuanyang Sun (IEEE Trans. Intell. Transp. Syst., 2021)

X-CAR: An Experimental Vehicle Platform for Connected Autonomy Research Powered by CARMA. - Goodarz Mehr; Prasenjit Ghorai; Ce Zhang 008; Anshul Nayak; Darshit Patel; Shathushan Sivashangaran; Azim Eskandarian (CoRR, 2022)

Uncertainty estimation of pedestrian future trajectory using Bayesian approximation. - Anshul Nayak; Azim Eskandarian; Zachary Doerzaph (CoRR, 2022)

EEG-Fest: Few-shot based Attention Network for Driver's Vigilance Estimation with EEG Signals. - Ning Ding; Ce Zhang 008; Azim Eskandarian (CoRR, 2022)

XTENTH-CAR: A Proportionally Scaled Experimental Vehicle Platform for Connected Autonomy and All-Terrain Research. - Shathushan Sivashangaran; Azim Eskandarian (CoRR, 2022)

State Estimation and Motion Prediction of Vehicles and Vulnerable Road Users for Cooperative Autonomous Driving: A Survey. - Prasenjit Ghorai; Azim Eskandarian; Young-Keun Kim; Goodarz Mehr (IEEE Trans. Intell. Transp. Syst., 2022)

Estimating the Probability That a Vehicle Reaches a Near-Term Goal State Using Multiple Lane Changes. - Goodarz Mehr; Azim Eskandarian (IEEE Trans. Intell. Transp. Syst., 2022)

Sentinel: An Onboard Lane Change Advisory System for Intelligent Vehicles to Reduce Traffic Delay During Freeway Incidents. - Goodarz Mehr; Azim Eskandarian (IEEE Trans. Intell. Transp. Syst., 2022)

Deep Reinforcement Learning for Autonomous Ground Vehicle Exploration Without A-Priori Maps. - Shathushan Sivashangaran; Azim Eskandarian (Adv. Artif. Intell. Mach. Learn., 2023)

AutoVRL: A High Fidelity Autonomous Ground Vehicle Simulator for Sim-to-Real Deep Reinforcement Learning. - Shathushan Sivashangaran; Apoorva Khairnar; Azim Eskandarian (CoRR, 2023)

Probabilistic RRT Connect with intermediate goal selection for online planning of autonomous vehicles. - Darshit Patel; Azim Eskandarian (CoRR, 2023)

The Impact of Different Backbone Architecture on Autonomous Vehicle Dataset. - Ning Ding; Azim Eskandarian (CoRR, 2023)

Cooperative Probabilistic Trajectory Forecasting under Occlusion. - Anshul Nayak; Azim Eskandarian (CoRR, 2023)

X-CAR: An Experimental Vehicle Platform for Connected Autonomy Research. - Goodarz Mehr; Prasenjit Ghorai; Ce Zhang 008; Anshul Nayak; Darshit Patel; Shathushan Sivashangaran; Azim Eskandarian (IEEE Intell. Transp. Syst. Mag., 2023)

Emergency Collision Avoidance and Mitigation Using Model Predictive Control and Artificial Potential Function. - Xu Shang; Azim Eskandarian (IEEE Trans. Intell. Veh., 2023)

Scanning the Issue. - Azim Eskandarian (IEEE Trans. Intell. Transp. Syst., 2023)

Transportation 5.0: The DAO to Safe, Secure, and Sustainable Intelligent Transportation Systems. - Fei-Yue Wang 001; Yilun Lin 002; Petros A. Ioannou; Ljubo B. Vlacic; Xiaoming Liu; Azim Eskandarian; Yisheng Lv; Xiaoxiang Na; David Cebon; Jiaqi Ma 003; Lingxi Li 001; Cristina Olaverri-Monreal (IEEE Trans. Intell. Transp. Syst., 2023)

A Quality Index Metric and Method for Online Self-Assessment of Autonomous Vehicles Sensory Perception. - Ce Zhang 008; Azim Eskandarian (IEEE Trans. Intell. Transp. Syst., 2023)

Graphical Tuning for Robust Stabilization: Implementable Stability Regions for Fractional-Order Proportional Integral Controllers in Interval Fractional-Order Systems. - Majid Ghorbani; Arash Farnam; Aleksei Tepljakov; Eduard Petlenkov; Guillaume Crevecoeur; Azim Eskandarian (CDC, 2024)

SD-SORT - Self Driving SORT for Autonomous Vehicle. - Omkar Shinde; Azim Eskandarian (ICPR (Workshops and Challenges, 4), 2024)

Exploration Without Maps via Zero-Shot Out-of-Distribution Deep Reinforcement Learning. - Shathushan Sivashangaran; Apoorva Khairnar; Azim Eskandarian (CoRR, 2024)

Image-Guided Outdoor LiDAR Perception Quality Assessment for Autonomous Driving. - Ce Zhang 008; Azim Eskandarian (CoRR, 2024)

A Causation Analysis of Autonomous Vehicle Crashes. - Prasenjit Ghorai; Azim Eskandarian; Montasir Abbas; Anshul Nayak (IEEE Intell. Transp. Syst. Mag., 2024)

SalienDet: A Saliency-Based Feature Enhancement Algorithm for Object Detection for Autonomous Driving. - Ning Ding; Ce Zhang 008; Azim Eskandarian (IEEE Trans. Intell. Veh., 2024)

Advanced Methods and Algorithms for Selected Connected Autonomous Vehicles (CAVs) Benefits. - Azim Eskandarian (IEEE Trans. Intell. Transp. Syst., 2024)

IEEE Transactions on Intelligent Transportation Systems (ITS) Special Issue on IEEE Workshop on Connected and Autonomous Vehicles, October 27-28, 2022. - Azim Eskandarian; Montasir Abbas (IEEE Trans. Intell. Transp. Syst., 2024)

A Novel Confined Attention Mechanism Driven Bi-GRU Model for Traffic Flow Prediction. - Nisha Singh Chauhan; Neetesh Kumar; Azim Eskandarian (IEEE Trans. Intell. Transp. Syst., 2024)

Pedestrian Trajectory Forecasting Using Deep Ensembles Under Sensing Uncertainty. - Anshul Nayak; Azim Eskandarian; Zachary Doerzaph; Prasenjit Ghorai (IEEE Trans. Intell. Transp. Syst., 2024)

Cooperative Probabilistic Trajectory Prediction Under Occlusion. - Anshul Nayak; Azim Eskandarian (IEEE Trans. Intell. Veh., 2024)

Autonomous Robots and Vehicles Laboratory at Virginia Commonwealth University: Pioneering the Future of Autonomous Systems [Its Research Lab]. - Azim Eskandarian; Yisheng Lv (IEEE Intell. Transp. Syst. Mag., 2025)

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset. - Goodarz Mehr; Azim Eskandarian (CoRR, 2025)

Prediction uncertainty-aware planning using deep ensembles and trajectory optimisation. - Anshul Nayak; Azim Eskandarian (CoRR, 2025)