activity
20192023
most citedControlling Steering Angle for Cooperative Self-driving Vehicles utilizing CNN and LSTM-based Deep Networks

84 citations · 93 across the 13 of their papers we have counts for

collaborators

14 papers

cs.MA2023★ 3 cited

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…

cs.RO2022

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…

cs.RO2022

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…

cs.RO2022★ 1 cited

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…

cs.RO2022

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…

cs.RO2021

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…