Patsorn Sangkloy

Papers

Total Citations

1,577

H-Index

About

Patsorn Sangkloy is a leading researcher in autonomous vehicle perception, best known for co-creating the Argoverse dataset. Her work centers on 3D object tracking and motion forecasting, providing the foundational data infrastructure that enables self-driving cars to understand and predict their dynamic surroundings. The primary Argoverse paper, published in 2019, has amassed over 1,420 citations, establishing it as a cornerstone resource in the field. This dataset, collected from a fleet of autonomous vehicles in Pittsburgh and Miami, offers rich sensor data—including 360-degree imagery from seven cameras—along with 3D tracking annotations and over 300,000 extracted vehicle trajectories. A companion paper detailing the dataset’s design has garnered an additional 157 citations. By releasing this comprehensive, real-world benchmark, Sangkloy has empowered researchers worldwide to develop and rigorously evaluate new algorithms for tracking and forecasting. Her contributions have directly accelerated progress toward safer, more reliable autonomous driving systems, making her work essential reading for anyone entering the field of embodied AI and robotics.