TY - GEN
T1 - Symbolic Indoor Positioning as Part of a Light Infrastructure
T2 - Computing Conference, CompCom 2025
AU - Samama, Nel
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
PY - 2025/1/1
Y1 - 2025/1/1
N2 - There are many technical solutions for indoor positioning. The main limitations, whatever the technology, are based on problems of signal propagation: obstacles, absorption, reflections and so on. In indoor environments, which are the most complex in this field, current solutions all have significant limitations. The result is unsatisfactory performance, except under specific conditions which then remain niches. The combination of the symbolic approach (by zone of very high probability of presence), which combines simplicity of implementation and reliability, is the trigger, in our view, for large-scale deployments. This is possible with the integration of the required electronics in security electric equipments (mandatory and normalized all over the world for public buildings). After outlining the difficulties of conventional approaches (models) in detail, we present the principle of the symbolic approach and the impact of very noisy signals, as is common indoors. Performance obtained in real environments is then provided.
AB - There are many technical solutions for indoor positioning. The main limitations, whatever the technology, are based on problems of signal propagation: obstacles, absorption, reflections and so on. In indoor environments, which are the most complex in this field, current solutions all have significant limitations. The result is unsatisfactory performance, except under specific conditions which then remain niches. The combination of the symbolic approach (by zone of very high probability of presence), which combines simplicity of implementation and reliability, is the trigger, in our view, for large-scale deployments. This is possible with the integration of the required electronics in security electric equipments (mandatory and normalized all over the world for public buildings). After outlining the difficulties of conventional approaches (models) in detail, we present the principle of the symbolic approach and the impact of very noisy signals, as is common indoors. Performance obtained in real environments is then provided.
KW - Indoor
KW - Positioning
KW - Reliability
KW - Symbolic
UR - https://www.scopus.com/pages/publications/105013616085
U2 - 10.1007/978-3-031-92611-2_42
DO - 10.1007/978-3-031-92611-2_42
M3 - Conference contribution
AN - SCOPUS:105013616085
SN - 9783031926105
T3 - Lecture Notes in Networks and Systems
SP - 631
EP - 643
BT - Intelligent Computing - Proceedings of the 2025 Computing Conference
A2 - Arai, Kohei
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 19 June 2025 through 20 June 2025
ER -