Andrew T. Hartnett

Papers

Total Citations

1,577

H-Index

About

Andrew T. Hartnett is a leading researcher in autonomous vehicle perception, with a primary focus on 3D object tracking and motion forecasting. His most significant contribution is the creation of Argoverse, a landmark dataset that has become a cornerstone for the autonomous driving community. The dataset, introduced in his 2019 paper, provides rich, multimodal sensor data—including 360-degree camera imagery and LiDAR—collected from a fleet of vehicles navigating the complex urban environments of Pittsburgh and Miami. This work, which has amassed over 1,420 citations, enables researchers to train and benchmark models for critical tasks like 3D tracking and trajectory prediction. By also releasing detailed 3D tracking annotations and over 300,000 extracted vehicle trajectories, Hartnett has provided an invaluable resource that has accelerated progress in safe and reliable autonomous navigation. His contributions have set a new standard for open-source benchmarks in the field, directly impacting how the next generation of self-driving cars perceive and anticipate the world around them.