<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>SLAM, LiDAR | Rahil Bhowal</title><link>https://rahil-bhowal007.github.io/resume-website/tags/slam-lidar/</link><atom:link href="https://rahil-bhowal007.github.io/resume-website/tags/slam-lidar/index.xml" rel="self" type="application/rss+xml"/><description>SLAM, LiDAR</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Fri, 24 Nov 2023 00:00:00 +0000</lastBuildDate><image><url>https://rahil-bhowal007.github.io/resume-website/media/icon_hu7729264130191091259.png</url><title>SLAM, LiDAR</title><link>https://rahil-bhowal007.github.io/resume-website/tags/slam-lidar/</link></image><item><title>Loam-Series Evaluation</title><link>https://rahil-bhowal007.github.io/resume-website/teaching/loam-series-lidar-slam-evaluation-a-comparative-analysis/</link><pubDate>Fri, 24 Nov 2023 00:00:00 +0000</pubDate><guid>https://rahil-bhowal007.github.io/resume-website/teaching/loam-series-lidar-slam-evaluation-a-comparative-analysis/</guid><description>&lt;h2 id="introduction">Introduction&lt;/h2>
&lt;p>In this project, we systematically examined and compared various algorithms within the LOAM series,
specifically ALOAM, LEGO-LOAM, and SC-LEGO-LOAM. Our primary focus was on meticulously analyzing the developmental
trajectory from a singular lidar odometry approach (the original LOAM) to the comprehensive SLAM systems, namely Lego-
LOAM and SC-LEGO-LOAM. This comprehensive analysis involved intricate comparisons between algorithms, elucidation
of improvements made, and in-depth assessments. Ultimately, we conducted thorough testing and comparison of these three
algorithms on two extensive long-distance datasets&lt;/p>
&lt;h2 id="evaluation-and-metrics">Evaluation and Metrics&lt;/h2>
&lt;p>&lt;strong>Table 1: ATE of LeGO-LOAM and SC-LeGO-LOAM in Kaist sequence&lt;/strong>
{{&amp;lt; math &amp;gt;}}
&lt;/p>
$$
\begin{array}{|l|c|c|}
\hline
\textbf{Metric} &amp; \textbf{SC-LeGO-LOAM (\%)} &amp; \textbf{LeGO-LOAM (\%)} \\ \hline
\text{max} &amp; 1.60 &amp; 2.55 \\ \hline
\text{mean} &amp; 0.84 &amp; 1.03 \\ \hline
\text{median} &amp; 0.82 &amp; 1.01 \\ \hline
\text{min} &amp; 0.08 &amp; 1.35 \\ \hline
\text{rmse} &amp; 0.90 &amp; 1.13 \\ \hline
\end{array}
$$&lt;p>
{{&amp;lt; math &amp;gt;}}&lt;/p>
&lt;p>&lt;strong>Table 2: ATE of LeGO-LOAM and SC-LeGO-LOAM in Riverside sequence&lt;/strong>
{{&amp;lt; math &amp;gt;}}
&lt;/p>
$$
\begin{array}{|l|c|c|}
\hline
\textbf{Metric} &amp; \textbf{SC-LeGO-LOAM (\%)} &amp; \textbf{LeGO-LOAM (\%)} \\ \hline
\text{max} &amp; 2.89 &amp; 8.55 \\ \hline
\text{mean} &amp; 1.35 &amp; 2.82 \\ \hline
\text{median} &amp; 1.36 &amp; 3.34 \\ \hline
\text{min} &amp; 0.20 &amp; 0.27 \\ \hline
\text{rmse} &amp; 1.46 &amp; 3.34 \\ \hline
\end{array}
$$&lt;p>
{{&amp;lt; math &amp;gt;}}
&lt;figure >
&lt;div class="flex justify-center ">
&lt;div class="w-100" >&lt;img src="https://github.com/rahil-bhowal007/LOAM-SERIES/assets/65888130/29b68ae0-8bc3-4e0c-ba96-7ac997c3e8a0" alt="RIVERSIDE03" loading="lazy" data-zoomable />&lt;/div>
&lt;/div>&lt;/figure>
&lt;/p>
&lt;p align="center">
&lt;it> Fig 1. Point Cloud Comparison on RIVERSIDE 03 Dataset &lt;/it>
&lt;/p>
&lt;p>
&lt;figure >
&lt;div class="flex justify-center ">
&lt;div class="w-100" >&lt;img src="https://github.com/rahil-bhowal007/LOAM-SERIES/assets/65888130/85627c42-4458-417a-80fc-0358b5816f09" alt="KAIST 01 " loading="lazy" data-zoomable />&lt;/div>
&lt;/div>&lt;/figure>
&lt;/p>
&lt;p align="center">
&lt;it>Fig 2. Point Cloud Comparison on KAIST 01 Dataset&lt;/it>
&lt;/p>
The mapping results of three algorithms on the Kaist dataset
are illustrated in Figure 1 and Figure 2.
&lt;br/>
&lt;p>
&lt;figure >
&lt;div class="flex justify-center ">
&lt;div class="w-100" >&lt;img src="https://github.com/rahil-bhowal007/LOAM-SERIES/assets/65888130/722af654-f017-4750-ac2d-bf487ee78049" alt="loam_r" loading="lazy" data-zoomable />&lt;/div>
&lt;/div>&lt;/figure>
&lt;/p>
&lt;p align="center">
&lt;it>Fig 3. LOAM on RIVERSIDE Dataset&lt;/it>
&lt;/p>
&lt;p>
&lt;figure >
&lt;div class="flex justify-center ">
&lt;div class="w-100" >&lt;img src="https://github.com/rahil-bhowal007/LOAM-SERIES/assets/65888130/cdb7b46f-955d-4133-a3d5-6392c195d703" alt="legoloam_r(1)" loading="lazy" data-zoomable />&lt;/div>
&lt;/div>&lt;/figure>
&lt;/p>
&lt;p align="center">
&lt;it>Fig 4. LeGO-LOAM on RIVERSIDE Dataset&lt;/it>
&lt;/p>
&lt;p>
&lt;figure >
&lt;div class="flex justify-center ">
&lt;div class="w-100" >&lt;img src="https://github.com/rahil-bhowal007/LOAM-SERIES/assets/65888130/dcb8988a-5100-4975-b179-f6cc25bdec66" alt="sclegoloam_r" loading="lazy" data-zoomable />&lt;/div>
&lt;/div>&lt;/figure>
&lt;/p>
&lt;p align="center">
&lt;it>Fig 5. SC-LeGO-LOAM on RIVERSIDE Dataset&lt;/it>
&lt;p>
&lt;figure >
&lt;div class="flex justify-center ">
&lt;div class="w-100" >&lt;img alt="TEST_IMAGE" srcset="
/resume-website/teaching/loam-series-lidar-slam-evaluation-a-comparative-analysis/featured_hu9719453656092614732.webp 400w,
/resume-website/teaching/loam-series-lidar-slam-evaluation-a-comparative-analysis/featured_hu3053301595755297694.webp 760w,
/resume-website/teaching/loam-series-lidar-slam-evaluation-a-comparative-analysis/featured_hu7524018204261152415.webp 1200w"
src="https://rahil-bhowal007.github.io/resume-website/resume-website/teaching/loam-series-lidar-slam-evaluation-a-comparative-analysis/featured_hu9719453656092614732.webp"
width="760"
height="428"
loading="lazy" data-zoomable />&lt;/div>
&lt;/div>&lt;/figure>
&lt;/p>
&lt;p align="center">
&lt;it>Fig 5. SC-LeGO-LOAM on RIVERSIDE Dataset&lt;/it>
&lt;h2 id="output">Output&lt;/h2>
&lt;p>&lt;strong>Map&lt;/strong>
Here are the map formed by the LOAM Algorithm on the MulRAN Dataset(KAIST track):
&lt;div style="position: relative; padding-bottom: 56.25%; height: 0; overflow: hidden;">
&lt;iframe allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen="allowfullscreen" loading="eager" referrerpolicy="strict-origin-when-cross-origin" src="https://www.youtube.com/embed/Ytw8goT86MY?autoplay=0&amp;controls=1&amp;end=0&amp;loop=0&amp;mute=0&amp;start=0" style="position: absolute; top: 0; left: 0; width: 100%; height: 100%; border:0;" title="YouTube video"
>&lt;/iframe>
&lt;/div>
&lt;/p>
&lt;h2 id="more-videos-will-be-added-soon">MORE VIDEOS WILL BE ADDED SOON&lt;/h2>
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