8 citations · 11 across the 3 of their papers we have counts for
5 papers
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…
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…
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,…
Cooperative LIDAR Object Detection via Feature Sharing in Deep Networks
Ehsan Emad Marvasti, Arash Raftari, Amir Emad Marvasti +3
The recent advancements in communication and computational systems has led to significant improvement of situational awareness in connected and autonomous vehicles. Computationally…