Jagjeet Singh

Papers

Total Citations

1,577

H-Index

About

Jagjeet Singh has made foundational contributions to autonomous vehicle perception, particularly through his leadership in creating the Argoverse dataset. His landmark paper, “Argoverse: 3D Tracking and Forecasting With Rich Maps” (2019), has accumulated over 1,420 citations, establishing Argoverse as a benchmark resource for 3D tracking and motion forecasting. The dataset, collected by a fleet of autonomous vehicles in Pittsburgh and Miami, includes 360-degree imagery from seven cameras, 3D tracking annotations, and over 300,000 extracted interesting vehicle trajectories—enabling researchers to develop and evaluate models with real-world complexity. A related publication further details the dataset’s design for machine learning tasks. Singh’s work addresses critical challenges in autonomous driving: robust multi-object tracking and accurate trajectory prediction in urban environments. By providing richly annotated, sensor-diverse data, he has accelerated progress in perception systems, influencing both academic research and industry applications. His contributions exemplify how high-quality, open datasets can drive innovation in robotics and computer vision.