))
Dean Sacoransky: Robot Sensing for Self-Driving Cars in Bad Weather | Academic Paper-Cuts #2
Manage episode 435295934 series 3594340
Content provided by Aaron Gotkin & David Ifergan, Aaron Gotkin, and David Ifergan. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Aaron Gotkin & David Ifergan, Aaron Gotkin, and David Ifergan or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/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
4 episodes
Share
