Abstract. In this paper, we propose to study how to reconstruct the human trajectory in complex environments (indoor) such as museums.

A sampling method for finding position stops (point in a trajectory) is proposed for reconstructing the human trajectory in complex environments (indoor) ...

The common steps of reconstructing indoor trajectories based on the sensor data and control points. Step 1 is to reconstruct each step's stride and heading ...

Jan 24, 2020 · The proposed pipeline is able to reconstruct indoor trajectories of people performing activities that involve walking, jogging, running, side ...

In this paper, we present an approach to infer the geometric and functional structure of the environment and the position of certain relevant objects in it from ...

May 19, 2024 · techniques are required to enable indoor trajectory reconstruction. ... environment to connect different platforms to support various applications ...

We propose a novel indoor trajectory reconstruction method using building information modeling (BIM) and graph neural network (GNN).

We propose a novel indoor trajectory reconstruction method using building information modeling (BIM) and graph neural network (GNN).

In this paper, a deep-learning framework is proposed for modelling pedestrian movement uncertainty in large-scale indoor areas.

This paper proposes an algorithm to optimize the placement of surveillance cameras in a 3D infrastructure. The key differentiating feature in the algorithm ...