The Simultaneous Localization and Mapping (SLAM) technique has achieved astonishing
progress over the last few decades and has generated considerable interest in the …

Loop closure detection is of vital importance in the process of simultaneous localization and
mapping (SLAM), as it helps to reduce the cumulative error of the robot's estimated pose and …

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 …

This paper summarizes the state of the art in connected vehicles-from the need for vehicle
data and applications thereof, to enabling technologies, challenges, and identified …

Vehicle localization (ground vehicles) is an important task for intelligent vehicle systems and
vehicle cooperation may bring benefits for this task. A new cooperative multi-vehicle …

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

When multiple robots are involved in the process of simultaneous localization and mapping
(SLAM), a global map should be constructed by merging the local maps built by individual …

We address the problem of localization in vehicular ad hoc networks. Our goal is to leverage
vehicle communications and smartphone sensors to improve the overall localization …

Research on autonomous vehicles has made significant advances in recent years. To
operate an autonomous vehicle safely and effectively, precise localization is essential. This …