LiteRT.js runs machine learning models locally with CPU, GPU and emerging NPU acceleration, potentially reducing server infrastructure, inference charges and data movement.

Abstract: Most of today’s simultaneous localization and mapping (SLAM) approaches learn the map of the environment in the first stage (referred to as mapping) and subsequently use this static map for ...

LoD-Loc tackles visual localization w.r.t a scene represented as LoD 3D map. Given a query image and its pose prior, the method utilizes the wireframe of LoD models to recover the camera pose. This ...

Abstract: The integration of localization capabilities within the cellular architecture through dedicated 5G network functions has notably enhanced cellular positioning accuracy and enabled new ...