We propose a semi-direct monocular visual odometry algorithm that is precise, robust, and
faster than current state-of-the-art methods. The semi-direct approach eliminates the need of …

Direct methods for visual odometry (VO) have gained popularity for their capability to exploit
information from all intensity gradients in the image. However, low computational speed as …

Visual odometry (VO) is the process of estimating the egomotion of an agent (eg, vehicle,
human, and robot) using only the input of a single or multiple cameras attached to it …

Abstract Visual SLAM (Simultaneously Localization and Map**) is a solution to achieve
localization and map** of robots simultaneously. Significant achievements have been …

Extensive research in the field of monocular SLAM for the past fifteen years has yielded
workable systems that found their way into various applications in robotics and augmented …

Visual odometry (VO) is one of the essential techniques in mobile robots field; an accurate
VO system is of great significance for mobile robot simultaneous localization and map** …

This is a book introducing visual SLAM, and it is probably the first Chinese book solely
focused on this specific topic. So, what is SLAM? SLAM stands for Simultaneous …

This book offers a systematic and comprehensive introduction to the visual simultaneous
localization and map** (vSLAM) technology, which is a fundamental and essential …

In this paper, we present an omnidirectional localization and dense map** system for a
wide-baseline multiview stereo setup with ultra-wide field-of-view (FOV) fisheye cameras …

Deep Learning based techniques have been adopted with precision to solve a lot of
standard computer vision problems, some of which are image classification, object detection …