trajectory classification

DataFunTalk

Oct 31, 2020 · Artificial Intelligence

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

This article investigates how to dynamically identify road closures by classifying vehicle, bicycle, and pedestrian trajectories, addressing sample imbalance and noisy labels with a label‑probability mixture Bayesian model and a deep‑learning image‑encoding pipeline, and compares their experimental results.

Bayesian modelDeep Learningartificial intelligence

0 likes · 12 min read

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

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