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PIllarCon 2017
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Friday, February 17 • 8:38pm - 8:43pm
Kalman Filters in Autonomous Vehicles

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Kalman filters are essential for motion planning in Autonomous Vehicles, with broad applications for recommendation engines, capacity planing, and time-series analysis.

Using very basic math we'll reconstruct the approach of the Kalman Filter algorithm. Then we'll generalize it as an effective approach to high-volume "drinking from the firehose" data processing that you can use on many projects.

avatar for David Zuidema

David Zuidema

Software Journeyman, Pillar Technology
David is a functional programming enthusiast who also dabbles in Neuroscience, Computational Finance, Constitutional Law, Contemplative Spirituality, Category Theory, and Classical Economics.

Friday February 17, 2017 8:38pm - 8:43pm

Attendees (35)