Karl Granstrom

Autonomous Vehicle Perception

Role
Staff Software Engineer at Zoox
Location
San Francisco, CA, US
LinkedIn followers
500 followers
Information TechnologyView LinkedIn profile

About Karl Granstrom

Research interests: Bayesian estimation, multiple object tracking and machine learning. I enjoy both theoretical algorithm development, as well as applied practical work using real world sensor data.Previous research projects: main focus on multiple target tracking, especially for extended objects, using random set methods. The developed algorithms have successfully been applied to data from laser scanners, cameras, and radars. A loop detection method for the Simultaneous Localization and Mapping (slam) problem was developed for robots equipped with laser scanners.

Experience

  1. Staff Software Engineer

    Zoox

    Mar 2023 — Present

Education

  • University of Otago

    Economics, Finance, Philosophy

    2005 — 2006

  • Linköping University

    Master's Degree, Applied Physics and Electrical Engineering

    2002 — 2008

  • Linköping University

    Doctor of Philosophy (Ph.D.), Automatic Control

    2008 — 2012

Skills

  • Statistics
  • Algorithms
  • Matlab
  • R&D
  • Vehicle Tracking
  • Research
  • Computer Science
  • Science
  • Numerical Analysis
  • Simulations
  • C++
  • Software Development
  • Python
  • Latex
  • Artificial Intelligence
  • Signal Processing
  • Simulink
  • Motion Tracking
  • Mathematical Modeling
  • Machine Learning
  • Physics
  • C
  • Programming
  • Optimization
  • Image Processing

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Karl Granstrom — Staff Software Engineer at Zoox in San Francisco, CA, US | Unifers