Simultaneous localization and mapping (SLAM) techniques are widely researched, since
they allow the simultaneous creation of a map and the sensors' pose estimation in an …

Autonomous vehicles (AV) are expected to improve, reshape, and revolutionize the future of
ground transportation. It is anticipated that ordinary vehicles will one day be replaced with …

Interest in autonomous driving (AD) and intelligent vehicles (IVs) is growing at a rapid pace
due to the convenience, safety, and economic benefits. Although a number of surveys have …

Autonomous driving vehicles require both a precise localization and mapping solution in
different driving environment. In this context, Simultaneous Localization and Mapping …

Intelligent Automation (IA) in automobiles combines robotic process automation and artificial
intelligence, allowing digital transformation in autonomous vehicles. IA can completely …

The autonomous driving industry has mushroomed over the past decade. Although
autonomous driving has undoubtedly become one of the most promising technologies of this …

In recent years, Simultaneous Localization and Mapping (SLAM) systems have shown
significant performance, accuracy, and efficiency gain. In this regard, Visual Simultaneous …

Simultaneous Localization and Mapping (SLAM) accomplishes the goal of concurrent
localization and map creation based on self-recognition. LiDAR-based SLAM technology …

Unmanned Aerial Vehicles (UAVs) for 3D indoor mapping applications are often equipped
with bulky and expensive sensors, such as LIDAR (Light Detection and Ranging) or depth …

Accurate fruit localization plays an essential role in many agricultural tasks and is one of the
most vital components of an autonomous harvesting robot. Although fruit localization in …