Robust Pose Estimation for Outdoor Mixed Reality with Sensor Fusion

Zhou, Zongtan; Karlekar, Jayashree; Hii, Daniel Jun Chung; Schneider, Miriam; Lu, Weiquan; Wittkopf, Stephen

doi:10.1007/978-3-642-02713-0_30

Cited by 6 publications

(7 citation statements)

References 7 publications

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“…al has stated that tracking often utilizes a highend sensor which requires major computational resources. Due to the limitations of current mobile device, it would not be possible to develop new tracking algorithms on this platform [14]. Zhou et.…”

Section: ) Algorithmmentioning

confidence: 99%

Current limitations and opportunities in mobile augmented reality applications

Nazri

2014

2014 International Conference on Computer and Information Sciences (ICCOINS)

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Mobile AR has evolved from the bulkiness of headmounted device and backpack device to smart device (smartphone, tablet etc.). To date, the current implementation has made what AR is today. However, the advancement of AR technology has met with limitation and challenges on its own, which resulted in not able to reach mass-market. This paper in turn presents current limitations and challenges that need to overcome. We have done a review based on past research papers on limitation in technical (hardware, algorithms and interaction technique) and non-technical (social acceptance, privacy and usefulness) aspects of developing and implementing mobile augmented reality applications. We also presented some future opportunities in mobile AR applications.Index Terms-Mobile augmented reality; multimodal interaction; mobile interaction.

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Section: ) Algorithmmentioning

confidence: 99%

Current limitations and opportunities in mobile augmented reality applications

Nazri

2014

2014 International Conference on Computer and Information Sciences (ICCOINS)

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“…Attempts to perform natural feature detection in open environments on commodity mobile devices have been largely unsuccessful [9] since they use large amounts of cached data and significant processing power. Devising a strategy for determining the device's position, heading, and orientation with high accuracy is a significant challenge given the limited processing capabilities of mobile devices.…”

Section: Challenge 2: Real-time Estimation Of Frame Of Reference Is Cmentioning

confidence: 99%

“…Likewise, [9] presents a hybrid approach using image recognition to refine frame of reference information derived from onboard inertial sensors. Although this approach helps increase accuracy in open uncontrolled environments, future research is needed to reduce the requirement for large amounts of preprepared environment data.…”

Section: Related Workmentioning

confidence: 99%

“…Approaches that centralize data processing [9] are undesirable for consumer mobile applications due to the high cost of scaling serverbased solutions and the relatively low-bandwidth networks connecting mobile devices to servers. Several applications perform detection and pose estimation of 2D barcodes and fiducial markers [10,7], which can be used in AR applications that display special content on objects branded with 2D markers [11].…”

Section: Introductionmentioning

confidence: 99%

“…The use of GPS and geomagnetic sensors in commodity smartphones are, however, accompanied by significant challenges [9], such as the limited accuracy of the GPS sensors in and the noise present in sensor data. For example, the noise in geomagnetic heading values can cause jitter in onscreen information presentation.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Addressing Challenges with Augmented Reality Applications on Smartphones

Gotow

Zienkiewicz

White

et al. 2010

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Summary. The popularity of smartphones equipped with GPS and geomagnetic sensors has spurred mobile application developer interest in augmented reality (AR), which presents highly contexualized, spatially relevant information that enhances user knowledge of their immediate surroundings. AR applications typically mesh relevant information with user views of the physical world. Prior research has focused on interfaces built with custom hardware, but a smartphone equipped with GPS, a camera, and a geomagnetic sensor is an attractive alternative to traditional solutions. These devices can be programmed to present context-sensitive information to users without needing custom hardware. This paper examines three key challenges facing AR developers on mobile devices and presents solutions applicable to modern mobile platforms, such as Apple's iPhone and Google Androidbased smartphones. First, we investigate methods of filtering raw sensor data and present an algorithm that eliminates sensor noise. Second, we explore the process of implementing a "magic lens" interaction metaphor by overlaying perspective-rendered graphics on the device's camera using OpenGL and UIKit. Third, we provide an efficient technique for fetching and caching geographically tagged points of interest from a server.

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Mixed Reality Tunneling Effects for Stereoscopic Untethered Video-See-Through Head-Mounted Displays

Schmidt

Bacher

et al. 2022

2022 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)

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Robust Pose Estimation for Outdoor Mixed Reality with Sensor Fusion

Cited by 6 publications

References 7 publications

Current limitations and opportunities in mobile augmented reality applications

Current limitations and opportunities in mobile augmented reality applications

Addressing Challenges with Augmented Reality Applications on Smartphones

Mixed Reality Tunneling Effects for Stereoscopic Untethered Video-See-Through Head-Mounted Displays

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