map updating | BestHub

DataFunTalk

May 24, 2020 · Artificial Intelligence

Automatic Calibration of Road Intersection Topology Using Trajectories (CITT Framework)

This article presents the CITT framework, a three‑stage algorithm that automatically calibrates road‑intersection topology using massive GPS trajectory data, detailing preprocessing, core‑area detection via quadtree‑mean‑shift, influence‑zone calibration with direction‑weighted Frechet distance and DBSCAN, and demonstrating superior accuracy over existing methods.

big dataintersection calibrationmachine learning

0 likes · 10 min read

Automatic Calibration of Road Intersection Topology Using Trajectories (CITT Framework)

Amap Tech

Mar 23, 2020 · Artificial Intelligence

Satellite Imagery for Map Data Updating: Key Elements, Semantic Segmentation Techniques, and Future Challenges

Gaode leverages high‑resolution satellite imagery as an active discovery tool for map updates, extracting road, region and building elements through advanced semantic segmentation networks (U‑Net, ASPP, attention, non‑local) and instance‑segmentation pipelines, to accelerate accurate road‑network and building‑block data refreshes while addressing future scalability challenges.

U-Netartificial intelligencecomputer vision

0 likes · 11 min read

Satellite Imagery for Map Data Updating: Key Elements, Semantic Segmentation Techniques, and Future Challenges