A robust dead-reckoning pedestrian tracking system with low cost sensors

Jin, Yunye; Toh, Hong-Song; Soh, Wee-Seng; Wong, Wai-Choong

doi:10.1109/percom.2011.5767590

Cited by 137 publications

(75 citation statements)

References 15 publications

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“…There are two approaches, one is using accelerometer and gyroscope to estimate the step length and direction, a person's position can be determined by dead-reckoning (DR) [7,8]. Another approach is based on full six degree of freedom (6DOF) inertial navigation.…”

Section: Pedestrian Dead Reckoningmentioning

confidence: 99%

Using Dead Reckoning, GPS and Fingerprinting for Ubiquitous Positioning

Chiu

Tang

Wang

2015

Ubiquitous Computing Application and Wireless Sensor

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Section: Pedestrian Dead Reckoningmentioning

confidence: 99%

Using Dead Reckoning, GPS and Fingerprinting for Ubiquitous Positioning

Chiu

Tang

Wang

2015

Ubiquitous Computing Application and Wireless Sensor

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“…Step-based systems [15,17,31] detect human steps by identifying the local maximum and minimum of vertical acceleration. A pair of local maximum and minimum within a short time period identifies one human step.…”

Section: Dead Reckoningmentioning

confidence: 99%

Finding 9-1-1 callers in tall buildings

Song

Lee

et al. 2014

Proceeding of IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks 2014

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Accurately determining a user's floor location is essential for minimizing delays in emergency response. This paper presents a floor localization system intended for emergency calls. We aim to provide floor-level accuracy with minimum infrastructure support. Our approach is to use multiple sensors, all available in today's smartphones, to trace a user's vertical movements inside buildings.We make three contributions. First, we present a hybrid architecture for floor localization with emergency calls in mind. The architecture combines beacon-based infrastructure and sensor-based dead reckoning, striking the right balance between accurately determining a user's location and minimizing the required infrastructure. Second, we present the elevator module for tracking a user's movement in an elevator. The elevator module addresses three core challenges that make it difficult to accurately derive displacement from acceleration. Third, we present the stairway module which determines the number of floors a user has traveled on foot. Unlike previous systems that track users' foot steps, our stairway module uses a novel landing counting technique.

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“…Jin et. al., [5] propose a robust dead reckoning tracking system using a set of commercial sensors carried by the same walking pedestrian. While effective over short distances, dead-reckoning solutions have the drawback of being local estimation techniques that have to be seeded with an accurate initial position for valid estimation.…”

Section: Related Work a Gps-free Localizationmentioning

confidence: 99%

Predictive indoor navigation using commercial smart-phones

Kannan

Meneguzzi

Dias

et al. 2013

Proceedings of the 28th Annual ACM Symposium on Applied Computing

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Abstract-Low-cost navigation solutions for indoor environments have a variety of real-world applications ranging from emergency evacuation to mobility aids for people with disabilities. Challenges for indoor navigation include robust localization in the absence of GPS, intuitive recognition of user navigation goals, and efficient route-planning and replanning techniques. In this paper, we present an architecture for indoor navigation that integrates observed behavior for recognizing user navigation goals and estimating future paths without direct input from the user. Our architecture comprises of three core components: effective localization, map representation and route planning, and plan recognition. The outlined architecture is unique in its integration of the core navigation and prediction components. To evaluate the feasibility of the proposed architecture, we develop a prototype application on a commercial smart-phone. The developed application was tested in an indoor environment and was found to accurately predict intended destination and to provide effective navigation guidance to the user.

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A robust dead-reckoning pedestrian tracking system with low cost sensors

Cited by 137 publications

References 15 publications

Using Dead Reckoning, GPS and Fingerprinting for Ubiquitous Positioning

Using Dead Reckoning, GPS and Fingerprinting for Ubiquitous Positioning

Finding 9-1-1 callers in tall buildings

Predictive indoor navigation using commercial smart-phones

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