Deep classification of frequently-changing activities from GPS trajectories

Author:

Eftelioglu Emre1,Wolff Gil1,Nimmagadda Sai Krishna Tejaswi2,Kumar Vishal1,Chowdhury Amber Roy3

Affiliation:

1. Amazon

2. Amazon, Hyderabad, India

3. Amazon Inc

Publisher

ACM

Reference21 articles.

1. Sina Dabiri and Kevin Heaslip . 2018. Inferring transportation modes from GPS trajectories using a convolutional neural network. Transportation research part C: emerging technologies 86 ( 2018 ), 360--371. Sina Dabiri and Kevin Heaslip. 2018. Inferring transportation modes from GPS trajectories using a convolutional neural network. Transportation research part C: emerging technologies 86 (2018), 360--371.

2. Semi-Supervised Deep Learning Approach for Transportation Mode Identification Using GPS Trajectory Data

3. Emre Eftelioglu Gil Wolff etal 2022. GPS Activity Classification Anonymized GPS Trajectories. (2022). https://github.com/amazon-research/goal-gps-ordered-activity-labels Emre Eftelioglu Gil Wolff et al. 2022. GPS Activity Classification Anonymized GPS Trajectories. (2022). https://github.com/amazon-research/goal-gps-ordered-activity-labels

4. Deep Feature Extraction from Trajectories for Transportation Mode Estimation

5. Xiang Jiang , Erico N de Souza , Ahmad Pesaranghader , Baifan Hu , Daniel L Silver , and Stan Matwin . 2017 . Trajectorynet: An embedded gps trajectory representation for point-based classification using recurrent neural networks. arXiv preprint arXiv:1705.02636 (2017). Xiang Jiang, Erico N de Souza, Ahmad Pesaranghader, Baifan Hu, Daniel L Silver, and Stan Matwin. 2017. Trajectorynet: An embedded gps trajectory representation for point-based classification using recurrent neural networks. arXiv preprint arXiv:1705.02636 (2017).

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