84 citations · 224 across the 40 of their papers we have counts for
41 papers
AROW: V2X-based Automated Right-of-Way Algorithm for Cooperative Intersection Management
Ghayoor Shah, Danyang Tian, Ehsan Moradi-Pari +1
Research in Cooperative Intersection Management (CIM), utilizing Vehicle-to-Everything (V2X) communication among Connected and/or Autonomous Vehicles (CAVs), is crucial for enhanci…
On Batching Acknowledgements in C-V2X Services
Mahdi Zaman, Md Saifuddin, Mahdi Razzaghpour +2
Cellular Vehicle-to-Everything (C-V2X) is a frontier in the evolution of distributed communication introduced in 3GPP release 14 to advanced use cases. While research efforts conti…
Optimized Control-Centric Communication in Cooperative Adaptive Cruise Control Systems
Mahdi Razzaghpour, Shahriar Shahram, Rodolfo Valiente +2
In this study, we explore an innovative approach to enhance cooperative driving in vehicle platooning systems through the use of vehicle-to-everything (V2X) communication technolog…
Performance Analysis of V2I Zone Activation and Scalability for C-V2X Transactional Services
Mahdi Zaman, Md Saifuddin, Mahdi Razzaghpour +1
Cellular-V2X (C-V2X) enables communication between vehicles and other transportation entities over the 5.9GHz spectrum. C-V2X utilizes direct communication mode for safety packet b…
Context-Aware Target Classification with Hybrid Gaussian Process prediction for Cooperative Vehicle Safety systems
Rodolfo Valiente, Arash Raftari, Hossein Nourkhiz Mahjoub +3
Vehicle-to-Everything (V2X) communication has been proposed as a potential solution to improve the robustness and safety of autonomous vehicles by improving coordination and removi…
Learning-based social coordination to improve safety and robustness of cooperative autonomous vehicles in mixed traffic
Rodolfo Valiente, Behrad Toghi, Mahdi Razzaghpour +2
It is expected that autonomous vehicles(AVs) and heterogeneous human-driven vehicles(HVs) will coexist on the same road. The safety and reliability of AVs will depend on their soci…
Prediction-aware and Reinforcement Learning based Altruistic Cooperative Driving
Rodolfo Valiente, Mahdi Razzaghpour, Behrad Toghi +2
Autonomous vehicle (AV) navigation in the presence of Human-driven vehicles (HVs) is challenging, as HVs continuously update their policies in response to AVs. In order to navigate…
Augmented Driver Behavior Models for High-Fidelity Simulation Study of Crash Detection Algorithms
Ahura Jami, Mahdi Razzaghpour, Hussein Alnuweiri +1
Developing safety and efficiency applications for Connected and Automated Vehicles (CAVs) require a great deal of testing and evaluation. The need for the operation of these system…
Enabling a Cooperative Driver Messenger System for Lane Change Assistance Application
Ghayoor Shah, Shahriar Shahram, Yaser Fallah +2
Sensor data and Vehicle-to-Everything (V2X) communication can greatly assist Connected and Autonomous Vehicles (CAVs) in situational awareness and provide a safer driving experienc…
Impact of Information Flow Topology on Safety of Tightly-coupled Connected and Automated Vehicle Platoons Utilizing Stochastic Control
Mahdi Razzaghpour, Sahand Mosharafian, Arash Raftari +2
Cooperative driving, enabled by Vehicle-to-Everything (V2X) communication, is expected to significantly contribute to the transportation system's safety and efficiency. Cooperative…
Robustness and Adaptability of Reinforcement Learning based Cooperative Autonomous Driving in Mixed-autonomy Traffic
Rodolfo Valiente, Behrad Toghi, Ramtin Pedarsani +1
Building autonomous vehicles (AVs) is a complex problem, but enabling them to operate in the real world where they will be surrounded by human-driven vehicles (HVs) is extremely ch…
Gaussian Process based Stochastic Model Predictive Control for Cooperative Adaptive Cruise Control
Sahand Mosharafian, Mahdi Razzaghpour, Yaser P. Fallah +1
Cooperative driving relies on communication among vehicles to create situational awareness. One application of cooperative driving is Cooperative Adaptive Cruise Control (CACC) tha…
Finite State Markov Modeling of C-V2X Erasure Links For Performance and Stability Analysis of Platooning Applications
Mahdi Razzaghpour, Adwait Datar, Daniel Schneider +5
Cooperative driving systems, such as platooning, rely on communication and information exchange to create situational awareness for each agent. Design and performance of control co…
Towards Learning Generalizable Driving Policies from Restricted Latent Representations
Behrad Toghi, Rodolfo Valiente, Ramtin Pedarsani +1
Training intelligent agents that can drive autonomously in various urban and highway scenarios has been a hot topic in the robotics society within the last decades. However, the di…
Altruistic Maneuver Planning for Cooperative Autonomous Vehicles Using Multi-agent Advantage Actor-Critic
Behrad Toghi, Rodolfo Valiente, Dorsa Sadigh +2
With the adoption of autonomous vehicles on our roads, we will witness a mixed-autonomy environment where autonomous and human-driven vehicles must learn to co-exist by sharing the…
Cooperative Autonomous Vehicles that Sympathize with Human Drivers
Behrad Toghi, Rodolfo Valiente, Dorsa Sadigh +2
Widespread adoption of autonomous vehicles will not become a reality until solutions are developed that enable these intelligent agents to co-exist with humans. This includes safel…
Social Coordination and Altruism in Autonomous Driving
Behrad Toghi, Rodolfo Valiente, Dorsa Sadigh +2
Despite the advances in the autonomous driving domain, autonomous vehicles (AVs) are still inefficient and limited in terms of cooperating with each other or coordinating with vehi…
Impact of Communication Loss on MPC based Cooperative Adaptive Cruise Control and Platooning
Mahdi Razzaghpour, Shahriar Shahram, Rodolfo Valiente +1
Cooperative driving, enabled by communication between automated vehicle systems, is expected to significantly contribute to transportation safety and efficiency. Cooperative Adapti…
RVE-CV2X: A Scalable Emulation Framework for Real-Time Evaluation of CV2X-Based Connected Vehicle Applications
Ghayoor Shah, MD Saifuddin, Yaser P. Fallah +1
Vehicle-to-Everything (V2X) communication has become an integral component of Intelligent Transportation Systems (ITS) due to its ability to connect vehicles, pedestrians, infrastr…
Feature Sharing and Integration for Cooperative Cognition and Perception with Volumetric Sensors
Ehsan Emad Marvasti, Arash Raftari, Amir Emad Marvasti +3
The recent advancement in computational and communication systems has led to the introduction of high-performing neural networks and high-speed wireless vehicular communication net…
Bandwidth-Adaptive Feature Sharing for Cooperative LIDAR Object Detection
Ehsan Emad Marvasti, Arash Raftari, Amir Emad Marvasti +1
Situational awareness as a necessity in the connected and autonomous vehicles (CAV) domain is the subject of a significant number of researches in recent years. The driver's safety…
Performance Analysis of Cellular-V2X with Adaptive and Selective Power Control
Md Saifuddin, Mahdi Zaman, Behrad Toghi +2
LTE based Cellular Vehicle-To-Everything (C-V2X) allows vehicles to communicate with each other directly without the need for infrastructure and is expected to be a critical enable…
A Maneuver-based Urban Driving Dataset and Model for Cooperative Vehicle Applications
Behrad Toghi, Divas Grover, Mahdi Razzaghpour +5
Short-term future of automated driving can be imagined as a hybrid scenario in which both automated and human-driven vehicles co-exist in the same environment. In order to address…
Representing Realistic Human Driver Behaviors using a Finite Size Gaussian Process Kernel Bank
Hossein Nourkhiz Mahjoub, Arash Raftari, Rodolfo Valiente +2
The performance of cooperative vehicular applications is tightly dependent on the reliability of the underneath Vehicle-to-Everything (V2X) communication technology. V2X standards,…