Recent advances in vision-based indoor navigation: A systematic literature review

Khan, Dawar; Cheng, Zhanglin; Uchiyama, Hideaki; Ali, Sikandar; Asshad, Muhammad; Kiyokawa, Kiyoshi

doi:10.1016/j.cag.2022.03.005

Cited by 28 publications

(11 citation statements)

References 94 publications

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“…Structured light visual (SLV) sensors, which consist of a structured light projector and a monocular camera or binocular camera, can calculate the depth of a light strip in an image by the laser triangulation algorithm. This is widely used in measurement areas such as automatic agriculture [13], industry inspection [14,15] and robot indoor navigation [16,17], due to the advantages of simple construction, high accuracy and low cost. An SLV sensor mounted on an MAV can scan the environment agilely with rotation of the MAV.…”

Section: Introductionmentioning

confidence: 99%

Indoor Environment Reconstruction for Unmanned System Using Multiple Low-Cost Sensors

Wang,

Ding,

Wang

et al. 2024

Remote Sensing

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Considering that laser scan stations are expensive and heavy for the indoor environment reconstruction of unmanned systems, a low-cost and light reconstruction system is proposed in this research. The system consists of a cross-structured light visual (SLV) sensor and an inertial navigation system (INS). The cross-SLV sensor is used to scan the surroundings and to estimate the angle change between two adjacent measurements. To improve the robustness and accuracy of the angle measurement, a Kalman Filter (KF) with simple construction is designed to fuse the inertial information from the INS. The factors which influence ranging accuracy are analyzed and ranging experiments show that the SLV sensor has an accuracy of higher than 2% when the distance is less than 4 m. Then the reconstruction results of a kitchen and corridor show that the error of most points is less than 50 mm for either kitchen (94%) or corridor (85%), and the mean errors and standard deviations of kitchen and corridor are less than 20 mm and 30 mm, respectively.

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Section: Introductionmentioning

confidence: 99%

Indoor Environment Reconstruction for Unmanned System Using Multiple Low-Cost Sensors

Wang,

Ding,

Wang

et al. 2024

Remote Sensing

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“…A comprehensive assessment of recent developments in indoor navigation was carried out by Khan et al [ 10 ], who covered state-of-the-art techniques, difficulties, and potential directions. They classified existing research, evaluated article quality, and identified key issues and solutions.…”

Section: Introductionmentioning

confidence: 99%

Assistive Systems for Visually Impaired Persons: Challenges and Opportunities for Navigation Assistance

Okolo,

Althobaiti,

Ramzan

2024

Sensors

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The inability to see makes moving around very difficult for visually impaired persons. Due to their limited movement, they also struggle to protect themselves against moving and non-moving objects. Given the substantial rise in the population of those with vision impairments in recent years, there has been an increasing amount of research devoted to the development of assistive technologies. This review paper highlights the state-of-the-art assistive technology, tools, and systems for improving the daily lives of visually impaired people. Multi-modal mobility assistance solutions are also evaluated for both indoor and outdoor environments. Lastly, an analysis of several approaches is also provided, along with recommendations for the future.

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“…A wide range of its applications has been developed in navigation and robotics. Accordingly, several survey papers have been published [1], [2], [3], [4], [5], [6]. The primary objective of most existing survey papers is to classify indoor positioning methods and introduce datasets for evaluation.…”

Section: Introductionmentioning

confidence: 99%

A Survey of Ground Truth Measurement Systems for Indoor Positioning

Yoshida

Kaji

Ogiso

et al. 2023

Journal of Information Processing

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Various types of indoor positioning methods have been proposed. Accordingly, various ground-truth measurement methods have also been used. The selection of the ground-truth measurement method is crucial when appropriately evaluating the indoor positioning methods. In recent years, data-driven methods have been actively proposed, making the ground-truth measurement even more critical. Most existing survey papers only focus on classifying indoor positioning methods and datasets for evaluation. Our survey paper investigates the methods to measure the ground truth. First, we list the primary examples of ground truth measurement systems and summarize their characteristics, such as the scale, accuracy, and frequency when collecting ground truth. Then, we classify them into the following five categories: OMC, ToF/MFPS, SLAM, Manual, and Others. Their advantages and disadvantages are also discussed based on four indices: accuracy, coverage, device cost, and labor cost. Finally, we discuss the appropriate way to select the ground-truth measurement system for quantitative evaluation. Our survey will be the guideline for selecting an appropriate ground-truth measurement system for indoor positioning and indoor navigation.

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Recent advances in vision-based indoor navigation: A systematic literature review

Cited by 28 publications

References 94 publications

Indoor Environment Reconstruction for Unmanned System Using Multiple Low-Cost Sensors

Indoor Environment Reconstruction for Unmanned System Using Multiple Low-Cost Sensors

Assistive Systems for Visually Impaired Persons: Challenges and Opportunities for Navigation Assistance

A Survey of Ground Truth Measurement Systems for Indoor Positioning

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