activity
20202026
most citedFeature Sharing and Integration for Cooperative Cognition and Perception with Volumetric Sensors

8 citations · 11 across the 6 of their papers we have counts for

collaborators

7 papers

cs.LG2026

Context-aware Attention-based Gaussian Mixture Models for Vehicular Trajectory Prediction

Arash Raftari, Babak Ebrahimi Soorchaei, Yaser P. Fallah

Reliable and interpretable trajectory prediction is critical for cooperative and autonomous driving in complex and uncertain environments. This paper introduces a Context-Aware Att…

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…

eess.SY2022★ 1 cited

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…

cs.CV2020★ 8 cited

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…

cs.CV2020

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…

eess.SP2020

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,…

cs.CV2020★ 2 cited

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…