Comparison of Three Off-the-Shelf Visual Odometry Systems
Positioning is an essential aspect of robot navigation, and visual odometry an important technique for continuous updating the internal information about robot position, especially indoors without GPS (Global Positioning System). Visual odometry is using
John Paulin Hansen, Alexandre Alapetite
exaly +3 more sources
LRPL-VIO: A Lightweight and Robust Visual–Inertial Odometry with Point and Line Features [PDF]
Visual-inertial odometry (VIO) algorithms, fusing various features such as points and lines, are able to improve their performance in challenging scenes while the running time severely increases.
Feixiang Zheng +4 more
doaj +2 more sources
CVIWM: A Tightly Coupled State Estimation Method for Poultry House Inspection Robots in Structurally Degraded Environments [PDF]
Accurate positioning is essential for inspection robots in caged chicken houses, where long straight corridors, sparse textures, and repetitive structures challenge conventional methods.
Hongfeng Deng +4 more
doaj +2 more sources
An Enhanced Hybrid Visual–Inertial Odometry System for Indoor Mobile Robot [PDF]
Liu Yanjie
exaly +2 more sources
F-LVINS: Flexible Lidar-Visual-Inertial Odometry Systems
The development of a new system called Flexible Lidar-Visual-Inertial Odometry (F-LVINS) offers improved localization accuracy even in challenging environments.
Xiang-Shi Tang, Teng-Hu Cheng
doaj +1 more source
Multi-Sensor Fusion Self-Supervised Deep Odometry and Depth Estimation
This paper presents a new deep visual-inertial odometry and depth estimation framework for improving the accuracy of depth estimation and ego-motion from image sequences and inertial measurement unit (IMU) raw data.
Yingcai Wan +4 more
doaj +1 more source
INDOOR POSITIONING BY VISUAL-INERTIAL ODOMETRY [PDF]
Indoor positioning is a fundamental requirement of many indoor location-based services and applications. In this paper, we explore the potential of low-cost and widely available visual and inertial sensors for indoor positioning.
M. Ramezani +3 more
doaj +1 more source
Monocular Visual Inertial Direct SLAM with Robust Scale Estimation for Ground Robots/Vehicles
In this paper, we present a novel method for visual-inertial odometry for land vehicles. Our technique is robust to unintended, but unavoidable bumps, encountered when an off-road land vehicle traverses over potholes, speed-bumps or general change in ...
Bismaya Sahoo +2 more
doaj +1 more source
ROBUST VISUAL-INERTIAL ODOMETRY IN DYNAMIC ENVIRONMENTS USING SEMANTIC SEGMENTATION FOR FEATURE SELECTION [PDF]
Camera based navigation in dynamic environments with high content of moving objects is challenging. Keypoint-based localization methods need to reliably reject features that do not belong to the static background.
P. Irmisch, D. Baumbach, I. Ernst
doaj +1 more source
OL-SLAM: A Robust and Versatile System of Object Localization and SLAM
This paper proposes a real-time, versatile Simultaneous Localization and Mapping (SLAM) and object localization system, which fuses measurements from LiDAR, camera, Inertial Measurement Unit (IMU), and Global Positioning System (GPS).
Chao Chen +6 more
doaj +1 more source

