INDOOR POSITIONING BY VISUAL-INERTIAL ODOMETRY [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 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
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Visual-Inertial Odometry Using High Flying Altitude Drone Datasets
Drones, 2023 Positioning of unoccupied aerial systems (UAS, drones) is predominantly based on Global Navigation Satellite Systems (GNSS). Due to potential signal disruptions, redundant positioning systems are needed for reliable operation. The objective of this study
Anand George +4 more
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RGB-Based Visual–Inertial Odometry via Knowledge Distillation from Self-Supervised Depth Estimation with Foundation Models [PDF]
SensorsAutonomous driving represents a transformative advancement with the potential to significantly impact daily mobility, including enabling independent vehicle operation for individuals with visual disabilities.
Jimin Song, Sang Jun Lee
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LRPL-VIO: A Lightweight and Robust Visual–Inertial Odometry with Point and Line Features [PDF]
SensorsVisual-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
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Standalone and embedded stereo visual odometry based navigation solution [PDF]
, 2015 © Cranfield University, 2014This thesis investigates techniques and designs an autonomous visual stereo based navigation sensor to improve stereo visual odometry for purpose of navigation in unknown environments. In particular, autonomous navigation in a
Chermak, Lounis
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CVIWM: A Tightly Coupled State Estimation Method for Poultry House Inspection Robots in Structurally Degraded Environments [PDF]
AnimalsAccurate 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
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F-LVINS: Flexible Lidar-Visual-Inertial Odometry Systems
IEEE Access, 2023 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
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Multi-Sensor Fusion Self-Supervised Deep Odometry and Depth Estimation
Remote Sensing, 2022 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
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Monocular Visual Inertial Direct SLAM with Robust Scale Estimation for Ground Robots/Vehicles
Robotics, 2021 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
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ROBUST VISUAL-INERTIAL ODOMETRY IN DYNAMIC ENVIRONMENTS USING SEMANTIC SEGMENTATION FOR FEATURE SELECTION [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 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
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