Oct 27, 2020 · Artificial Intelligence

Trajectory Identification Using a Spatio‑Temporal Siamese Network (ST‑SiameseNet)

This paper proposes a novel spatio‑temporal Siamese network that identifies whether GPS trajectories belong to the same driver, addressing data‑cost and scalability issues of existing methods and demonstrating superior accuracy and generalization on large‑scale taxi driver datasets.

Deep LearningGPS dataSiamese Network

0 likes · 10 min read

Trajectory Identification Using a Spatio‑Temporal Siamese Network (ST‑SiameseNet)

Amap Tech

Oct 16, 2020 · Artificial Intelligence

Trajectory Classification for Road Closure Detection Using Bayesian and Deep Learning Approaches

The paper proposes classifying vehicle, bicycle, and pedestrian trajectories to detect road closures, introducing a probability‑mixture Bayesian model that mitigates label noise and class imbalance through joint feature densities, and a dual‑stream deep‑learning approach encoding trajectories as images, with experiments showing the Bayesian method outperforming the neural network on limited labeled data.

Bayesian modelDeep LearningGPS data

0 likes · 13 min read

Trajectory Classification for Road Closure Detection Using Bayesian and Deep Learning Approaches