Abstract The complexity of Simultaneous Localization and Mapping (SLAM) and drastic
technological changes makes development of an autonomous robot system a challenge. As …

The Iterative Closest Point (ICP) algorithm is one of the most important algorithms for
geometric alignment of three-dimensional surface registration, which is frequently used in …

Simultaneous localization and mapping (SLAM) is required in many areas and especially
visual‐based SLAM (VSLAM) due to the low cost and strong scene recognition capabilities …

Feature extraction plays a crucial role in computer vision and autonomous navigation,
offering valuable information for real-time localization and scene understanding. However …

In this article, we propose a new approach to addressing the issue of active SLAM. In this
design, we used the already functional SLAM algorithm, which we modified for our case …

Augmented Reality (AR) can enable shared virtual experiences between multiple users. In
order to do so, it is crucial for multi-user AR applications to establish a consensus on the …

SLAM technology is more and more integrated with other sensors for indoor and outdoor
seamless navigation. This research topic is very active in particular on image matching with …

In this paper, a novel dynamic multi-object classification method is proposed based on real-
time localization of a robot equipped with a vision sensor that captures a sparse three …

Autonomous vehicles are the culmination of advances in many areas such as sensor
technologies, artificial intelligence (AI), networking, and more. This paper will introduce the …

Environment mapping and localization is one of the remarkable technology for an
autonomous vehicle (AV). Self localization of vehicle or robots with very high accuracy is …