network positioning

Didi Tech

Sep 17, 2020 · Artificial Intelligence

Machine Learning Practices in DiDi's Network Positioning: From Unsupervised Probabilistic Models to End‑to‑End CNN

DiDi’s network‑positioning system, which serves billions of daily location requests using Wi‑Fi and cellular signals, has evolved from an unsupervised probabilistic fingerprint matcher through a supervised GBDT‑DeepFM regression model to a fully end‑to‑end CNN that directly predicts coordinates, delivering markedly higher accuracy.

CNNDidiLBS

0 likes · 11 min read

Machine Learning Practices in DiDi's Network Positioning: From Unsupervised Probabilistic Models to End‑to‑End CNN

Amap Tech

Dec 20, 2019 · Artificial Intelligence

Advances in Network Positioning: Unsupervised Clustering and Supervised Hierarchical Ranking Algorithms

Gaode’s network positioning has evolved from unsupervised clustering of massive AP fingerprints and Bayesian grid ranking to a supervised two‑level hierarchical model that scores candidate grids with a neural‑network LTR loss, while adding scenario‑specific CNN and spatio‑temporal modules for indoor, rail and subway accuracy, and it now looks toward image‑based, 5G and IoT positioning.

Big DataGeolocationfingerprint localization

0 likes · 12 min read

Advances in Network Positioning: Unsupervised Clustering and Supervised Hierarchical Ranking Algorithms

Amap Tech

Jul 16, 2019 · Artificial Intelligence

Mobile Wi‑Fi Identification for Enhanced Network Positioning Using Machine Learning

By replacing rule‑based pipelines with an active‑learning‑driven random‑forest model that extracts clustering, signal, association, IP, and temporal features, Gaode accurately identifies mobile, cloned, and moved Wi‑Fi, cutting large‑error network‑positioning cases by ~18% and boosting overall positioning precision.

Big DataWiFi fingerprintingmachine learning

0 likes · 13 min read

Mobile Wi‑Fi Identification for Enhanced Network Positioning Using Machine Learning