Paul Furgale

About

Paul Furgale was a pioneering researcher in mobile robotics, state estimation, and autonomous systems, whose work fundamentally advanced how robots perceive and navigate the world. Best known for his landmark contributions to visual–inertial odometry and SLAM (Simultaneous Localization and Mapping), Furgale championed the fusion of camera and inertial measurement data through nonlinear optimization frameworks — an approach that has since become the dominant paradigm in the field. His 2014 paper on keyframe-based visual–inertial odometry alone has garnered nearly 1,700 citations, underscoring its foundational influence on robotics and computer vision research worldwide. Beyond state estimation, Furgale made lasting contributions to multi-sensor calibration, developing elegant methods for unified spatial and temporal registration of heterogeneous sensor systems — critical infrastructure for any robust autonomous platform. His work extended to long-term mapping in dynamic environments, lifelong visual localization, and motion planning on complex 3D terrain, reflecting a remarkably broad yet coherent research vision. He also contributed OpenGV, a widely adopted open-source library for geometric vision. With over 4,000 cumulative citations across his career, Furgale's legacy endures as an essential foundation for autonomous vehicles and intelligent robotic systems today.

Research Focus

Key Achievements

Top Papers

1. 1
   Keyframe-based visual–inertial odometry using nonlinear optimization

   1,697 citations · 2014
2. 2
   Unified temporal and spatial calibration for multi-sensor systems

   784 citations · 2013
3. 3
   Keyframe-Based Visual-Inertial SLAM using Nonlinear Optimization

   424 citations · 2013
4. 4
   A synchronized visual-inertial sensor system with FPGA pre-processing for accurate real-time SLAM

   270 citations · 2014
5. 5
   Long-term 3D map maintenance in dynamic environments

   197 citations · 2014
6. 6
   Keyframe-based Visual-Inertial SLAM using Nonlinear Optimization

   183 citations · 2013
7. 7
   Driving on Point Clouds: Motion Planning, Trajectory Optimization, and Terrain Assessment in Generic Nonplanar Environments

   169 citations · 2016
8. 8
   OpenGV: A unified and generalized approach to real-time calibrated geometric vision

   160 citations · 2014
9. 9
   Self-supervised calibration for robotic systems

   131 citations · 2013
10. 10
    Summary Maps for Lifelong Visual Localization

    108 citations · 2015

Key Collaborators

Contact & Links