Pedestrian Navigation Systems: a Case Study of Deep Personalization

2007 ◽  
Author(s):  
Xiangkui Yao ◽  
Stephen Fickas
Keyword(s):  
Navigation Systems ◽  
Pedestrian Navigation

Ubiquitous Positioning Technologies for Modern Intelligent Navigation Systems

2005 ◽  
Vol 59 (1) ◽  
pp. 91-103 ◽  
Author(s):  
Guenther Retscher ◽  
Allison Kealy
Keyword(s):  
Dead Reckoning ◽  
Satellite System ◽  
Indoor Environments ◽  
Navigation Systems ◽  
Pedestrian Navigation ◽  
First Case ◽  
And Performance ◽  
Navigation Service ◽  
Global Navigation Satellite

Recently new location technologies have emerged that can be employed in modern advanced navigation systems. They can be employed to augment Global Navigation Satellite System (GNSS) positioning techniques and dead reckoning as they offer different levels of positioning accuracies and performance. An integration of other technologies is especially required in indoor and outdoor-to-indoor environments. The paper gives an overview of the newly developed ubiquitous positioning technologies and their integration in navigation systems. Furthermore two case studies are presented, i.e., the improvement of land vehicle safety using Augmented Reality (AR) technologies and pedestrian navigation services for the guidance of users to certain University offices. In the first case study the integration of map matching into a Kalman filter approach is performed (referred to as “Intelligent Vehicle Navigation”) and its principle is briefly described. This approach can also be adapted for the pedestrian navigation service described in the second case study.

scholarly journals Smartphone-Based Activity Recognition in a Pedestrian Navigation Context

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 3243
Author(s):  
Robert Jackermeier ◽  
Bernd Ludwig
Keyword(s):  
Activity Recognition ◽  
Recognition Performance ◽  
Activity Patterns ◽  
Detailed Knowledge ◽  
Navigation Systems ◽  
Pedestrian Navigation ◽  
User Activity ◽  
Device Placement ◽  
Locomotion Behavior ◽  
Current Context

In smartphone-based pedestrian navigation systems, detailed knowledge about user activity and device placement is a key information. Landmarks such as staircases or elevators can help the system in determining the user position when located inside buildings, and navigation instructions can be adapted to the current context in order to provide more meaningful assistance. Typically, most human activity recognition (HAR) approaches distinguish between general activities such as walking, standing or sitting. In this work, we investigate more specific activities that are tailored towards the use-case of pedestrian navigation, including different kinds of stationary and locomotion behavior. We first collect a dataset of 28 combinations of device placements and activities, in total consisting of over 6 h of data from three sensors. We then use LSTM-based machine learning (ML) methods to successfully train hierarchical classifiers that can distinguish between these placements and activities. Test results show that the accuracy of device placement classification (97.2%) is on par with a state-of-the-art benchmark in this dataset while being less resource-intensive on mobile devices. Activity recognition performance highly depends on the classification task and ranges from 62.6% to 98.7%, once again performing close to the benchmark. Finally, we demonstrate in a case study how to apply the hierarchical classifiers to experimental and naturalistic datasets in order to analyze activity patterns during the course of a typical navigation session and to investigate the correlation between user activity and device placement, thereby gaining insights into real-world navigation behavior.

scholarly journals A Hybrid Framework for Mitigating Heading Drift for a Wearable Pedestrian Navigation System through Adaptive Fusion of Inertial and Magnetic Measurements

2021 ◽  
Vol 11 (4) ◽  
pp. 1902
Author(s):  
Liqiang Zhang ◽  
Yu Liu ◽  
Jinglin Sun
Keyword(s):  
Magnetic Measurements ◽  
Inertial Sensor ◽  
Angular Rate ◽  
Human Motion ◽  
Navigation Systems ◽  
Pedestrian Navigation ◽  
Hybrid Framework ◽  
Outdoor Environments ◽  
Adaptive Fusion ◽  
Indoor And Outdoor Environments

Pedestrian navigation systems could serve as a good supplement for other navigation methods or for extending navigation into areas where other navigation systems are invalid. Due to the accumulation of inertial sensing errors, foot-mounted inertial-sensor-based pedestrian navigation systems (PNSs) suffer from drift, especially heading drift. To mitigate heading drift, considering the complexity of human motion and the environment, we introduce a novel hybrid framework that integrates a foot-state classifier that triggers the zero-velocity update (ZUPT) algorithm, zero-angular-rate update (ZARU) algorithm, and a state lock, a magnetic disturbance detector, a human-motion-classifier-aided adaptive fusion module (AFM) that outputs an adaptive heading error measurement by fusing heuristic and magnetic algorithms rather than simply switching them, and an error-state Kalman filter (ESKF) that estimates the optimal systematic error. The validation datasets include a Vicon loop dataset that spans 324.3 m in a single room for approximately 300 s and challenging walking datasets that cover large indoor and outdoor environments with a total distance of 12.98 km. A total of five different frameworks with different heading drift correction methods, including the proposed framework, were validated on these datasets, which demonstrated that our proposed ZUPT–ZARU–AFM–ESKF-aided PNS outperforms other frameworks and clearly mitigates heading drift.

scholarly journals Human-centred Mobile Pedestrian Navigation Systems

2011 ◽  
Vol 153 ◽  
pp. 237-250 ◽  
Author(s):  
Georg Garnter ◽  
Haosheng Huang ◽  
Alexandra Millonig ◽  
Manuela Schmidt ◽  
Felix Ortag
Keyword(s):  
Navigation Systems ◽  
Pedestrian Navigation

scholarly journals TWO NEW PEDESTRIAN NAVIGATION PATH OPTIONS BASED ON SEMI-INDOOR SPACE

2020 ◽  
Vol VI-4/W1-2020 ◽  
pp. 175-182
Author(s):  
J. Yan ◽  
S. Zlatanova ◽  
A. A. Diakite
Keyword(s):  
Path Selection ◽  
Selection Strategy ◽  
Navigation Systems ◽  
Indoor Space ◽  
Pedestrian Navigation ◽  
Navigation Path ◽  
Shortest Distance ◽  
Making Choices ◽  
Navigation Experience ◽  
Indoor Spaces

Abstract. Navigation is very critical for our daily life, especially when we have to go through the unfamiliar areas where the spaces are very complex, such as completely bounded (indoor), partially bounded (semi-indoor and/or semi-outdoor), entirely open (outdoor), or combined. Current navigation systems commonly offer the shortest distance/time path, but it is not always appropriate for some situations. For instance, on a rainy day, a path with as many places that are covered by roofs/shelters is more attractive. However, current navigation systems cannot provide such kinds of navigation paths, which can be explained by that they lack information about such roofed/sheltered-covered spaces. This paper proposes two roofed/sheltered navigation path options by employing semi-indoor spaces in the navigation map: (i) the Most-Top-Covered path (MTC-path) and (ii) path to the Nearest sI-space from departure (NSI-path). A path selection strategy is introduced to help pedestrians in making choices between the two new path options and the traditional shortest path. We demonstrate and validate the research with path planning on two navigation cases. The results show the two path options and the path selection strategy bring in new navigation experience for humans.

Studying the Сonsistency of Extended Kalman Filter in Pedestrian Navigation with Foot-Mounted SINS

2021 ◽  
Vol 29 (2) ◽  
pp. 59-77
Author(s):  
Yu.V. Bolotin ◽  
◽  
A.V. Bragin ◽  
D.V. Gulevskii ◽  
◽  
...  
Keyword(s):  
Kalman Filter ◽  
Extended Kalman Filter ◽  
Stance Phase ◽  
Navigation Systems ◽  
Velocity Data ◽  
Inertial Navigation Systems ◽  
Pedestrian Navigation ◽  
Zero Velocity ◽  
Velocity Condition ◽  
Dynamic Errors

The paper focuses on pedestrian navigation with foot-mounted strapdown inertial navigation systems (SINS). Zero velocity updates (ZUPT) during the stance phase are commonly applied in such systems to improve the accuracy. Zero velocity data are processed by the extended Kalman filter (EKF). Zero velocity condition is written in two forms: in reference and body frames. The first form traditional for pedestrian navigation is shown to provide an inconsistent EKF. The second form provides a correct ZUPT algorithm, which is naturally written in so-called dynamic errors. The analyzed algorithm for data fusion from two SINS is based on the bound on foot-to-foot distance. It is shown how EKF inconsistency can be manifested, and how it can be avoided by proceeding back to dynamic errors. The results are obtained analytically using observability theory and covariance analysis.

Virtual Territorial Heritage in Education through mLearning Resources

2016 ◽  
pp. 162-195 ◽  
Author(s):  
Jorge Joo Nagata ◽  
José Rafael García-Bermejo Giner ◽  
Fernando Martínez-Abad
Keyword(s):  
Teaching And Learning ◽  
Historical Context ◽  
Optimized Design ◽  
Traditional Teaching ◽  
Navigation Systems ◽  
Learning Tools ◽  
Pedestrian Navigation ◽  
Learning Platform ◽  
Historical Heritage ◽  
Mobile Context

This research aims to establish the meanings and relations that exist between creating educational content for an application featuring Mobile Pedestrian Navigation Systems (MPNS) and Augmented Reality (AR), and the processes involved in Mobile Learning (mLearning). In this mobile context, the study aims to develop a training process linked to territorial information about the corresponding architectural and historical heritage of the cities of Salamanca (Spain) and Santiago (Chile), proving their educational importance. Methodologically, this research focuses on two main areas: (1) The optimized design of a learning platform with AR and MPNS resources in a historical context; and (2) the validation of the software's educational effectiveness in relation to other traditional teaching and learning tools. Finally, the study is in the process of creating a thematic heritage model determining the scope of this tool in the processes of mLearning, considering the elements of identity and local culture.

Virtual Territorial Heritage in Education through mLearning Resources

2018 ◽  
pp. 345-377
Author(s):  
Jorge Joo Nagata ◽  
José Rafael García-Bermejo Giner ◽  
Fernando Martínez-Abad
Keyword(s):  
Teaching And Learning ◽  
Historical Context ◽  
Optimized Design ◽  
Traditional Teaching ◽  
Navigation Systems ◽  
Learning Tools ◽  
Pedestrian Navigation ◽  
Learning Platform ◽  
Historical Heritage ◽  
Mobile Context

This research aims to establish the meanings and relations that exist between creating educational content for an application featuring Mobile Pedestrian Navigation Systems (MPNS) and Augmented Reality (AR), and the processes involved in Mobile Learning (mLearning). In this mobile context, the study aims to develop a training process linked to territorial information about the corresponding architectural and historical heritage of the cities of Salamanca (Spain) and Santiago (Chile), proving their educational importance. Methodologically, this research focuses on two main areas: (1) The optimized design of a learning platform with AR and MPNS resources in a historical context; and (2) the validation of the software's educational effectiveness in relation to other traditional teaching and learning tools. Finally, the study is in the process of creating a thematic heritage model determining the scope of this tool in the processes of mLearning, considering the elements of identity and local culture.

SatNav or SatNag?

2011 ◽  
pp. 314-322
Author(s):  
G. E. Burnett
Keyword(s):  
Full Range ◽  
Future Research ◽  
Vehicle Navigation ◽  
Navigation Systems ◽  
Computing Systems ◽  
Positive Direction ◽  
Driving Experience ◽  
Wide Range ◽  
Driving Task

A wide range of in-car computing systems are either already in existence or under development which aim to improve the safety, efficiency and the comfort/pleasure of the driving experience. Several unique forces act on the design process for this technology which must be understood by HCI researchers. In particular, this is an area in which safety concerns dominate perspectives. In this position paper, I have used a case study system (vehicle navigation) to illustrate the evolution of some key HCI design issues that have arisen in the last twenty years as this in-car technology has matured. Fundamentally, I argue that, whilst HCI research has had an influence on current designs for vehicle navigation systems, this has not always been in a wholly positive direction. Future research must take a holistic viewpoint and consider the full range of impacts that in-car computing systems can have on the driving task.

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