Personal localization of task force members in urban environments

Kronenwett, Nikolai; Kohler, Maxim; Ruppelt, Jan; Trommer, Gert F.

doi:10.1109/sdf.2017.8126355

Cited by 4 publications

(2 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…If GNSS pseudo-range and Doppler measurements are available, the kind of aiding depends on the current classified motion state. To enable accurate position estimation in urban scenarios an integrity check of the received GNSS data is essential [49]. Based on the described measurements, corrections of the navigation solution and the bias values of the inertial sensors are calculated by an error-state Kalman filter.…”

Section: ) Team Kitmentioning

confidence: 99%

The IPIN 2019 Indoor Localisation Competition—Description and Results

Potortì¹,

Park²,

Crivello³

et al. 2020

IEEE Access

Self Cite

View full text Add to dashboard Cite

Section: ) Team Kitmentioning

confidence: 99%

The IPIN 2019 Indoor Localisation Competition—Description and Results

Potortì¹,

Park²,

Crivello³

et al. 2020

IEEE Access

Self Cite

View full text Add to dashboard Cite

“…If GNSS pseudo-range and Doppler measurements are available, the kind of aiding depends on the current classified motion state. To enable accurate position estimation in urban scenarios, an integrity check of the received GNSS data is essential [60]. Based on the described measurements, corrections of the navigation solution and the bias values of the inertial sensors are calculated by the Error-State-Stochastic-Kloning-Kalman-Filter.…”

Section: ) Kit Teammentioning

confidence: 99%

Evaluating Indoor Positioning Systems in a Shopping Mall: The Lessons Learned From the IPIN 2018 Competition

Renaudin¹,

Ortiz²,

Perul³

et al. 2019

IEEE Access

Self Cite

View full text Add to dashboard Cite

The Indoor Positioning and Indoor Navigation (IPIN) conference holds an annual competition in which indoor localization systems from different research groups worldwide are evaluated empirically. The objective of this competition is to establish a systematic evaluation methodology with rigorous metrics both for real-time (on-site) and post-processing (off-site) situations, in a realistic environment unfamiliar to the prototype developers. For the IPIN 2018 conference, this competition was held on September 22nd, 2018, in Atlantis, a large shopping mall in Nantes (France). Four competition tracks (two on-site and two off-site) were designed. They consisted of several 1 km routes traversing several floors of the mall. Along these paths, 180 points were topographically surveyed with a 10 cm accuracy, to serve as ground truth landmarks, combining theodolite measurements, differential global navigation satellite system (GNSS) and 3D scanner systems. 34 teams effectively competed. The accuracy score corresponds to the third quartile (75 th percentile) of an error metric that combines the horizontal positioning error and the floor detection. The best results for the on-site tracks showed an accuracy score of 11.70 m (Track 1) and 5.50 m (Track 2), while the best results for the off-site tracks showed an accuracy score of 0.90 m (Track 3) and 1.30 m (Track 4). These results showed that it is possible to obtain high accuracy indoor positioning solutions in large, realistic environments using wearable light-weight sensors without deploying any beacon. This paper describes the organization work of the tracks, analyzes the methodology used to quantify the results, reviews the lessons learned from the competition and discusses its future.

show abstract