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

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

We present ESLAM, an efficient implicit neural representation method for Simultaneous
Localization and Map** (SLAM). ESLAM reads RGB-D frames with unknown camera …

Navigation/positioning systems have become critical to many applications, such as
autonomous driving, Internet of Things (IoT), Unmanned Aerial Vehicle (UAV), and smart …

We propose a framework for tightly-coupled lidar-visual-inertial odometry via smoothing and
map**, LVI-SAM, that achieves real-time state estimation and map-building with high …

Visual SLAM (VSLAM) has been develo** rapidly due to its advantages of low-cost
sensors, the easy fusion of other sensors, and richer environmental information. Traditional …

This article presents ORB-SLAM3, the first system able to perform visual, visual-inertial and
multimap SLAM with monocular, stereo and RGB-D cameras, using pin-hole and fisheye …

Visual–inertial odometry (VIO) is known to suffer from drifting, especially over long-term runs.
In this article, we present GVINS, a nonlinear optimization-based system that tightly fuses …

The increasing world population makes it necessary to fight challenges such as climate
change and to realize production efficiently and quickly. However, the minimum cost …

Event cameras are bio-inspired sensors that differ from conventional frame cameras: Instead
of capturing images at a fixed rate, they asynchronously measure per-pixel brightness …