• Dean Sacoransky: Robot Sensing for Self-Driving Cars in Bad Weather | Academic Paper-Cuts #2

  • 2024/08/21
  • 再生時間： 1 時間 10 分
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Dean Sacoransky: Robot Sensing for Self-Driving Cars in Bad Weather | Academic Paper-Cuts #2

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  • 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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あらすじ・解説

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
続きを読む 一部表示

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