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Dean Sacoransky: Robot Sensing for Self-Driving Cars in Bad Weather | Academic Paper-Cuts #2
Manage episode 435295934 series 3594340
Innehåll tillhandahållet av Aaron Gotkin & David Ifergan, Aaron Gotkin, and David Ifergan. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av Aaron Gotkin & David Ifergan, Aaron Gotkin, and David Ifergan eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.
Dean Sacoransky sits down with hosts David Ifergan and Aaron Gotkin to break down his academic paper on how he used robots, AI, and retro-reflectors to develop a method for self-driving cars to navigate in bad weather conditions like rain and snow.
Dean's paper is called: "Radar-Based Autonomous Vehicle Localization
using Reflective Roadside Landmarks"
Reach out to us if you are interested in seeing Dean's paper.
The preceding paper to this one can be found at these two links:
1) https://qspace.library.queensu.ca/items/dc30e61c-09e6-42e4-8db2-b8d8defd40e0
2) https://ieeexplore.ieee.org/document/10161274
Check out the video version on YouTube
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