Vehicle-to-everything (V2X) communication techniques enable the collaboration between
vehicles and many other entities in the neighboring environment, which could fundamentally …

In this paper, we explore the use of vehicle-to-vehicle (V2V) communication to improve the
perception and motion forecasting performance of self-driving vehicles. By intelligently …

Perception systems play a crucial role in autonomous driving by reading the sensory data
and providing meaningful interpretation of the operating environment for decision-making …

This paper presents a human-centered risk assessment algorithm using vehicular
communication for application to an automated driving vehicle. Vehicle-to-vehicle (V2V) …

Abstract Vehicle-to-everything (V2X), which denotes the collaboration between a vehicle
and any entity in its surrounding, can fundamentally improve the perception in self-driving …

This paper presents and evaluates a unified cooperative perception framework that employs
vehicle-to-vehicle (V2V) connectivity. At the core of the framework is a decentralized data …

The perception range of the automated vehicles is limited to the line-of-sight field of view of
their on-board sensors (eg, Cameras, Radars). The aim of Collaborative automated driving …

Location information plays a vital role in vehicular ad-hoc networks (VANETs) as numerous
applications are location dependent. Thus, it is essential to preserve the integrity of the …

As vehicles become more automated, security issues in automotive systems such as radar
and dedicated short-range communication (DSRC) must be thoroughly examined. This …

Vehicular Ad Hoc Network (VANET) is a promising technology for autonomous driving as it
provides many benefits and user conveniences to improve road safety and driving comfort …