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<oembed><version>1.0</version><provider_name>Depth Estimation in Low-light Environments for Autonomous Navigation</provider_name><provider_url>https://mscvprojects.ri.cmu.edu/2022team7</provider_url><title>Past Investigations - Depth Estimation in Low-light Environments for Autonomous Navigation</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="DalT4w8tXp"&gt;&lt;a href="https://mscvprojects.ri.cmu.edu/2022team7/fall-2022/"&gt;Past Investigations&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://mscvprojects.ri.cmu.edu/2022team7/fall-2022/embed/#?secret=DalT4w8tXp" width="600" height="338" title="&#x201C;Past Investigations&#x201D; &#x2014; Depth Estimation in Low-light Environments for Autonomous Navigation" data-secret="DalT4w8tXp" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script&gt;
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</html><description>This section shows all the progress we made in Fall 2022. Note that since receiving our data, the goals of the project and our method changed significantly in Spring 2022. However, the investigation we carried in Fall helped provide additional context during Spring. Classical Stereo Depth Estimation Depth estimation using stereo is a well-researched area &hellip; Continue reading ""</description><thumbnail_url>https://mscvprojects.ri.cmu.edu/2022team7/wp-content/uploads/sites/62/2022/04/Screen-Shot-2022-04-29-at-6.21.36-PM-1024x483.png</thumbnail_url></oembed>

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