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Dean Sacoransky: Robot Sensing for Self-Driving Cars in Bad Weather | Academic Paper-Cuts #2
Manage episode 435295934 series 3594340
İçerik Aaron Gotkin & David Ifergan, Aaron Gotkin, and David Ifergan tarafından sağlanmıştır. Bölümler, grafikler ve podcast açıklamaları dahil tüm podcast içeriği doğrudan Aaron Gotkin & David Ifergan, Aaron Gotkin, and David Ifergan veya podcast platform ortağı tarafından yüklenir ve sağlanır. Birinin telif hakkıyla korunan çalışmanızı izniniz olmadan kullandığını düşünüyorsanız burada https://tr.player.fm/legal özetlenen süreci takip edebilirsiniz.
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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