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Context-Aware Target Classification with Hybrid Gaussian Process prediction for Cooperative Vehicle Safety systems
To enable reliable and robust CVS systems that mitigate the effect of information loss, we proposed a Context-Aware Target Classification (CA-TC) module coupled with a hybrid learning-based predictive modeling technique for CVS systems.
Impact of Information Flow Topology on Safety of Tightly-coupled Connected and Automated Vehicle Platoons Utilizing Stochastic Control
Cooperative driving, enabled by Vehicle-to-Everything (V2X) communication, is expected to significantly contribute to the transportation system's safety and efficiency.
Feature Sharing and Integration for Cooperative Cognition and Perception with Volumetric Sensors
In this paper, we examine the requirements, limitations, and performance of different cooperative perception techniques, and present an in-depth analysis of the notion of Deep Feature Sharing (DFS).
Bandwidth-Adaptive Feature Sharing for Cooperative LIDAR Object Detection
In this work, we propose a mechanism to add flexibility in adapting to communication channel capacity and a novel decentralized shared data alignment method to further improve cooperative object detection performance.
Cooperative LIDAR Object Detection via Feature Sharing in Deep Networks
The recent advancements in communication and computational systems has led to significant improvement of situational awareness in connected and autonomous vehicles.
