Designing simple indoor navigation system for UAVs

Mohamed, Mohamed Kara; Patra, S.; Lanzon, Alexander

doi:10.1109/med.2011.5983054

Cited by 9 publications

(8 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The system managed to fly indoors with success. Mohamed et al [8] proposed an indoor navigation system to estimate the position and orientation of the UAV. In this system, three laser diodes were integrated to the body of the UAV and they generate three dots on the ground.…”

Section: Wall Following Algorithmmentioning

confidence: 99%

A Novel Navigation Algorithm for Mapping Indoor Environments with a Quadrotor

Oral

Turgut

Arıkan

2020

Hittite J. Sci. Eng.

View full text Add to dashboard Cite

R ecently, quadrotors gained popularity due to their high maneuverability, cost and vertical takeoff/landing capabilities. Nevertheless, they also have disadvantages such as they have a limited flight time and small payload capabilities. In addition to these, a major part of the energy of a quadrotor is spent against gravity for hovering. Still, they are one of the most adopted air vehicles for commercial and research purposes. Most of the time UAV's (Unmanned Aerial Vehicles) are used in outdoor applications such as surveillance, search/rescue and patrolling. Recently, UAV's started to find uses in indoor environments. Material handling in manufacturing and inspection in harsh environments are to name a few[1] of these applications. One of the most promising applications is to utilize them in urban relief and disaster operations where a UAV moves autonomously avoiding obstacles in GPS-denied buildings to help human operators for rescue operations.In order to navigate in an indoor environment, a map of the environment is needed. However, in most of the cases either the map is unknown or some partial information about the environment is available. Indoor mapping process can be performed by using seve-Article History:

show abstract

Section: Wall Following Algorithmmentioning

confidence: 99%

A Novel Navigation Algorithm for Mapping Indoor Environments with a Quadrotor

Oral

Turgut

Arıkan

2020

Hittite J. Sci. Eng.

View full text Add to dashboard Cite

show abstract

“…One alternative to using wireless technology is visible light communication using LED or OLED-based lighting [24], employed in systems such as those offered by GE Lighting [25] or Acuity Brands [26]. In [27], the positions of laser points shot by an unmanned aerial vehicle, in an indoor environment, are used to compute the vehicle's location. Acoustic background fingerprinting [28] or user movement [29] are other techniques proposed for indoor positioning.…”

Section: Indoor Positioningmentioning

confidence: 99%

i-Light—Intelligent Luminaire Based Platform for Home Monitoring and Assisted Living

et al. 2018

View full text Add to dashboard Cite

We present i-Light, a cyber-physical platform that aims to help older adults to live safely within their own homes. The system is the result of an international research project funded by the European Union and is comprised of a custom developed wireless sensor network together with software services that provide continuous monitoring, reporting and real-time alerting capabilities. The principal innovation proposed within the project regards implementation of the hardware components in the form of intelligent luminaires with inbuilt sensing and communication capabilities. Custom luminaires provide indoor localisation and environment sensing, are cost-effective and are designed to replace the lighting infrastructure of the deployment location without prior mapping or fingerprinting. We evaluate the system within a home and show that it achieves localisation accuracy sufficient for room-level detection. We present the communication infrastructure, and detail how the software services can be configured and used for visualisation, reporting and real-time alerting.

show abstract

“…• Vision Based Indoor Localization: Visual information can be collected and practiced for indoor navigation in many literature (e.g., [21] [13]). However, the image based localization will consume more computing resource (analyzing the image) and power.…”

Section: Indoor Positioning System (Ips)mentioning

confidence: 99%

Implementation and evaluation of cloud-based integration framework for indoor location

Niu

Saiki

Matsumoto

et al. 2015

Proceedings of the 17th International Conference on Information Integration and Web-Based Applications &Amp; Services

View full text Add to dashboard Cite

The emerging indoor positioning systems (IPS) enable indoor location-aware applications (InL-App) within indoor space where GPS cannot reach. In most conventional systems, however, IPS and InL-App are tightly coupled, where one system cannot reuse location data or operation of other systems. This fact yields expensive development cost and effort of InL-App. To cope with the problem, this paper propose a cloud-based integration framework, called CIF4InL. With a common data model, CIF4InL integrates indoor location data obtained from heterogeneous IPS. It then provides application-neutral API for various InL-Apps. To evaluate the practical feasibility, we integrate two different IPS (RedPin and BluePin) using CIF4InL, where the applications transparently access the indoor locations gathered by two different IPS. Since CIF4InL allows the loose coupling between IPS and InL-Apps, it significantly improves reusability of indoor location information and operation.

show abstract

Designing simple indoor navigation system for UAVs

Cited by 9 publications

References 14 publications

A Novel Navigation Algorithm for Mapping Indoor Environments with a Quadrotor

A Novel Navigation Algorithm for Mapping Indoor Environments with a Quadrotor

i-Light—Intelligent Luminaire Based Platform for Home Monitoring and Assisted Living

Implementation and evaluation of cloud-based integration framework for indoor location

Contact Info

Product

Resources

About