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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Direct Sparse Odometry · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1607.02565/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/1607.02565/feed.xml" rel="self" type="application/rss+xml" /><item><title>Direct Sparse Odometry — mentioned by runesoerensen</title><link>https://news.ycombinator.com/item?id=12947309</link><guid isPermaLink="false">urn:hackerpapers:mention:1607.02565:12947309</guid><pubDate>Mon, 14 Nov 2016 03:26:55 GMT</pubDate><description>&lt;p&gt;I&amp;#x27;m pretty excited to see this project released. This is from the researchers who made LSD-SLAM[0], a widely used monocular SLAM system, and DSO is showing some very impressive results in terms of accuracy, robustness and efficiency. For convenience, here are a few more resources related to this release: * Video demo (with ORB-SLAM and LSD-SLAM comparisons): https://www.youtube.com/watch?v=C6-xwSOOdqQ * DSO research paper: https://arxiv.org/abs/1607.02565 * A small ROS wrapper for DSO was also released yesterday: https://github.com/JakobEngel/dso_ros It&amp;#x27;d be interesting to try and integrate…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1607.02565/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item></channel></rss>
