The Internet of Vehicles (IoV) is an emerging paradigm that is driven by recent
advancements in vehicular communications and networking. Meanwhile, the capability and …

Simultaneous localization and mapping (SLAM) in unknown GPS‐denied environments is a
major challenge for researchers in the field of mobile robotics. Many solutions for single …

Accurate and robust localization is a fundamental requirement for safe autonomous driving.
Currently, most vehicles rely on single-vehicle localization (SVL) using the global navigation …

In this paper, we propose a survey of the Simultaneous Localization And Mapping (SLAM)
field when considering the recent evolution of autonomous driving. The growing interest …

Autonomous vehicles are expected to play a key role in the future of urban transportation
systems, as they offer potential for additional safety, increased productivity, greater …

Using distributed task allocation methods for cooperating multivehicle systems is becoming
increasingly attractive. However, most effort is placed on various specific experimental work …

In this paper, we present a Covariance Intersection (CI)-based algorithm for reducing the
processing and communication complexity of multi-robot Cooperative Localization (CL) …

Vehicle localization and mobility tracking are important tasks in autonomous driving.
Traditional methods either have insufficient accuracy or rely on additional facilities to reach …

In this article, we investigate how cooperative perception gives the impact on decision
making and planning of autonomous vehicles on the road. Cooperative perception is the …

Fifth-generation (5G) networks providing much higher bandwidth and faster data rates will
allow connecting vast number of stationary and mobile devices, sensors, agents, users …