Uploaded November 2024 | Updated September 2026, 2 days ago
Abstract: We present Atlantes, the first global-scale, real-time system for analyzing vessel behavior through GPS data. Our system integrates a hierarchy of novel transformer-based models that precisely classify behaviors from noisy and irregular spatiotemporal GPS sequences. We outline our approach to generating a large, high-quality training dataset (~15 million expertly annotated GPS messages), the model architecture and machine learning strategy, and a staging environment which enables fast model iteration informed by real-world feedback. Currently deployed for maritime intelligence applications within the Skylight platform, the model processes over 2.6 million trajectories (~3 billion GPS messages) daily. This will be a technical presentation with relevance to both the research and engineering communities.
Bio: Henry Herzog is a Machine Learning Engineer within the Applied Sciences Organization at Ai2. He joined Ai2 following a summer internship with the Skylight team, where he was recognized as an Outstanding Intern in 2023 for his contributions to developing novel deep learning methods for behavior analysis using GPS sequences. He holds a BA in Mathematics from the University of Chicago (2023).
Abstract: We present Atlantes, the first global-scale, real-time system for analyzing vessel behavior through GPS data. Our system integrates a hierarchy of novel transformer-based models that precisely classify behaviors from noisy and irregular spatiotemporal GPS sequences. We outline our approach to generating a large, high-quality training dataset (~15 million expertly annotated GPS messages), the model architecture and machine learning strategy, and a staging environment which enables fast model iteration informed by real-world feedback. Currently deployed for maritime intelligence applications within the Skylight platform, the model processes over 2.6 million trajectories (~3 billion GPS messages) daily. This will be a technical presentation with relevance to both the research and engineering communities.
Bio: Henry Herzog is a Machine Learning Engineer within the Applied Sciences Organization at Ai2. He joined Ai2 following a summer internship with the Skylight team, where he was recognized as an Outstanding Intern in 2023 for his contributions to developing novel deep learning methods for behavior analysis using GPS sequences. He holds a BA in Mathematics from the University of Chicago (2023).
