With the rapid development of the Internet of Things (IoT), autonomous vehicles have been
receiving more and more attention because they own many advantages compared with …

As a promising research area in Internet of Things (IoT), Internet of Vehicles (IoV) has
attracted much attention in wireless communication and network. In general, vehicle …

Autonomous vehicles depend on global positioning systems' aided by motion sensors to
estimate its position within the traffic network. However, all the driving vehicles cannot be …

An architecture for vehicle position estimation is introduced in this paper to tackle the issue
of vehicles positioning in traffic congestion of intelligent transportation system (ITS). The …

Smart city enters the new 3.0 era, and Internet of Things (IoT) perform as the urban neural
network in smart city. In the industrial areas of smart city, the IoT focuses on industrial …

To locate multiple sources through time-difference-of-arrival (TDOA) measurements, existing
algorithms generally require the matching relationship between measurements and the …

In order to provide a robust estimate of vehicle position in all environments, especially, in
challenging urban areas where GPS signals are blocked, a fusion framework based on …

In this paper, we investigate the auxiliary vehicle positioning system and localization method
for intelligent transportation systems, as a supplement to the Global Navigation Satellite …

In view of the decline in the positioning accuracy of the vehicles with small snapshots, this
paper proposes a direction of arrival (DOA) estimation method based on deep unfolded …

The clustered property among sparse weight vector is prevalent in applications such as
direction of arrival (DOA) estimation. To address this, block structure has been utilized to …