2012
DOI: 10.5194/isprsarchives-xxxix-b4-35-2012
|View full text |Cite
|
Sign up to set email alerts
|

Seamless Navigation Using Various Sensors: An Overview of the Seamless Navigation Campaign

Abstract: ABSTRACT:Seamless positioning techniques in indoor and outdoor environments are necessary for obtaining sensor locations. However, no definitive indoor-outdoor navigation system simultaneously provides high accuracy, high availability and low installation cost. Furthermore, crowded indoor-outdoor navigation systems consisting of multiple techniques will destructively interfere with each other, but an exclusive navigation environment will have difficulty providing stable location services for users. This antici… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2017
2017
2020
2020

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 0 publications
0
2
0
Order By: Relevance
“…Multi-source and heterogeneous information fusion (MSHIF) makes integrated utilization of the information obtained by different sensors, which avoids the perceptual limitations and uncertainties of a single sensor, forms a more comprehensive perception and recognition of the environment or target, and improves the external perception ability of the system [1]. At present, MSHIF technology has been comprehensively applied in such fields as fault detection [2], [3], remote sensing [4], human health monitoring [5], [6], robot system [7], human-machine interaction [8], target recognition and tracking [9], [10], simultaneous localization and mapping (SLAM) [11] and advanced driver assistance system (ADAS) [12]. Automated driving (AD) is not a single technology, but a highly complicated system composed of many subsystems, which contains three parts:…”
Section: Introductionmentioning
confidence: 99%
“…Multi-source and heterogeneous information fusion (MSHIF) makes integrated utilization of the information obtained by different sensors, which avoids the perceptual limitations and uncertainties of a single sensor, forms a more comprehensive perception and recognition of the environment or target, and improves the external perception ability of the system [1]. At present, MSHIF technology has been comprehensively applied in such fields as fault detection [2], [3], remote sensing [4], human health monitoring [5], [6], robot system [7], human-machine interaction [8], target recognition and tracking [9], [10], simultaneous localization and mapping (SLAM) [11] and advanced driver assistance system (ADAS) [12]. Automated driving (AD) is not a single technology, but a highly complicated system composed of many subsystems, which contains three parts:…”
Section: Introductionmentioning
confidence: 99%
“…There are some similar studies of using auxiliary sensors in the autonomous navigation, which are introduced in Kang et al (2012), Suzuki et al (2014) and Ray et al (2009). The method referred in Nakagawa et al (2012) focuses on the research on the test environment construction for indoor–outdoor seamless navigation experiments. Lighting tags, radio frequency identification devices (RFID) tags, global navigation satellite system (GNSS) receivers and other types of sensors are placed on the carrier.…”
Section: Introductionmentioning
confidence: 99%