Far-Target Detection System for Outdoor and Indoor Environments

Accurately localizing points of interest is vital for firefighters and first responders for effective surveying and rescue missions. Traditionally, firefighters rely on subjective visual descriptions transmitted via radios, leading to time-consuming and error-prone communication about their locations. This article presents an approach for far target detection (FTD) provided in terms of longitude, latitude, and altitude (LLA) coordinates in environments where GPS signals may not be available. Using LLA coordinates ensures concise communication among team members on their locations and provides a common coordinate reference system between outdoors/indoors. This article discusses the integration of three devices as a foundation for the FTD system. First, it uses zero-velocity-update (ZUPT)-aided inertial navigation systems (INS) via a foot-mounted inertial measurement unit (IMU) for personnel localization. Second, an augmented reality (AR) headset is employed to localize a handheld platform (HP) relative to the foot. Third, HP is used to determine the direction the firefighter is pointing at and to measure the distance to the objects. The system's performance was assessed through five experiments where a subject mapped a static point while walking a straight path demonstrating that the system is capable of achieving mapping precision within 2 [m] for distances on the order of 20 [m] from the target.

Authors

Institutions

Publication Details

Journal
IEEE Sensors Letters
Published
2024-12-16
DOI
https://doi.org/10.1109/lsens.2024.3518433
Citations
1
Primary Topic
Infrared Target Detection Methodologies
Type
article
Field-Weighted Citation Impact
1.30
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Far-Target Detection System for Outdoor and Indoor Environments

Eudald Sangenis, Andrei M. Shkel, Chi-Shih Jao, Crystal Wai
1 citations
IEEE Sensors Letters
Infrared Target Detection Methodologies
1.30
article

Far-Target Detection System for Outdoor and Indoor Environments

Eudald Sangenis, Andrei M. Shkel, Chi-Shih Jao, Crystal Wai
article en
1 citations

Abstract

Accurately localizing points of interest is vital for firefighters and first responders for effective surveying and rescue missions. Traditionally, firefighters rely on subjective visual descriptions transmitted via radios, leading to time-consuming and error-prone communication about their locations. This article presents an approach for far target detection (FTD) provided in terms of longitude, latitude, and altitude (LLA) coordinates in environments where GPS signals may not be available. Using LLA coordinates ensures concise communication among team members on their locations and provides a common coordinate reference system between outdoors/indoors. This article discusses the integration of three devices as a foundation for the FTD system. First, it uses zero-velocity-update (ZUPT)-aided inertial navigation systems (INS) via a foot-mounted inertial measurement unit (IMU) for personnel localization. Second, an augmented reality (AR) headset is employed to localize a handheld platform (HP) relative to the foot. Third, HP is used to determine the direction the firefighter is pointing at and to measure the distance to the objects. The system's performance was assessed through five experiments where a subject mapped a static point while walking a straight path demonstrating that the system is capable of achieving mapping precision within 2 [m] for distances on the order of 20 [m] from the target.

IEEE Sensors LettersVol. 9(1)
University of California, Irvine (US)
Openalex Percentile: Top 11%
Infrared Target Detection Methodologies
1.30
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Far-Target Detection System for Outdoor and Indoor Environments — Eudald Sangenis, Andrei M. Shkel, et al. · IEEE Sensors Letters (2024) | TGRS Research Map | TGRS