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		<title>Mach9 Expands Its AI CAD Platform to Aerial Lidar and Photogrammetry</title>
		<link>https://lidarnews.com/mach9-aerial-lidar-photogrammetry-ai-cad-software/</link>
					<comments>https://lidarnews.com/mach9-aerial-lidar-photogrammetry-ai-cad-software/#respond</comments>
		
		<dc:creator><![CDATA[Sarah Roe]]></dc:creator>
		<pubDate>Wed, 04 Nov 2026 07:44:37 +0000</pubDate>
				<category><![CDATA[Lidar]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[Airborne Lidar]]></category>
		<category><![CDATA[Point Cloud]]></category>
		<guid isPermaLink="false">https://lidarnews.com/?p=11730</guid>

					<description><![CDATA[Mach9 has added support for aerial lidar and photogrammetry data to its AI CAD software, extending the platform beyond the mobile and terrestrial scanning it was built around. Survey and geospatial teams can now upload point clouds captured by drones, helicopters and fixed-wing aircraft and get an AI-generated first draft of their deliverables within hours. [&#8230;]]]></description>
		
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		<title>XGRIDS Lixel L3: Advancing SLAM Accuracy and Field Workflows</title>
		<link>https://lidarnews.com/xgrids-lixel-l3-2/</link>
					<comments>https://lidarnews.com/xgrids-lixel-l3-2/#respond</comments>
		
		<dc:creator><![CDATA[Nathan Roe]]></dc:creator>
		<pubDate>Wed, 04 Nov 2026 06:44:26 +0000</pubDate>
				<category><![CDATA[SLAM]]></category>
		<category><![CDATA[3D Gaussian Splatting]]></category>
		<category><![CDATA[Mobile Mapping]]></category>
		<category><![CDATA[Reality Capture]]></category>
		<guid isPermaLink="false">https://lidarnews.com/?p=11743</guid>

					<description><![CDATA[The rapid evolution of handheld SLAM scanners is narrowing the gap between mobile mapping and traditional terrestrial laser scanning. As manufacturers improve accuracy, point cloud quality, and field workflows, mobile systems are becoming increasingly capable tools for jobs that require high accuracy. Lidar News spoke with Sunny Liao, Director of Global Sales and Marketing at [&#8230;]]]></description>
		
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		<title>Frontier Precision to Join the Minnesota GIS Community for MN GIS Day Celebration</title>
		<link>https://lidarnews.com/mn-gis-day-2026-frontier-precision-minneapolis/</link>
					<comments>https://lidarnews.com/mn-gis-day-2026-frontier-precision-minneapolis/#respond</comments>
		
		<dc:creator><![CDATA[Sarah Roe]]></dc:creator>
		<pubDate>Tue, 03 Nov 2026 17:02:58 +0000</pubDate>
				<category><![CDATA[Events]]></category>
		<category><![CDATA[Forestry]]></category>
		<category><![CDATA[Infrastructure Mapping]]></category>
		<category><![CDATA[Mobile Mapping]]></category>
		<guid isPermaLink="false">https://lidarnews.com/?p=11725</guid>

					<description><![CDATA[MN GIS Day 2026 is coming to Minneapolis on Thursday, November 19, and Frontier Precision will be there with the Minnesota geospatial community. Frontier Precision is heading to Minneapolis to celebrate MN GIS Day with fellow geospatial professionals. The evening is a chance for surveyors, mappers, GIS analysts, and technology providers across Minnesota to connect, [&#8230;]]]></description>
		
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			<slash:comments>0</slash:comments>
		
		
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		<title>Hesai Holds 62% of Global Robotaxi Lidar Market, Yole Group Reports</title>
		<link>https://lidarnews.com/hesai-robotaxi-lidar-market-share-yole-group-report/</link>
					<comments>https://lidarnews.com/hesai-robotaxi-lidar-market-share-yole-group-report/#respond</comments>
		
		<dc:creator><![CDATA[Sarah Roe]]></dc:creator>
		<pubDate>Tue, 03 Nov 2026 16:43:23 +0000</pubDate>
				<category><![CDATA[Lidar]]></category>
		<category><![CDATA[Sensor Fusion]]></category>
		<category><![CDATA[Solid-state]]></category>
		<category><![CDATA[Time-of-Flight]]></category>
		<category><![CDATA[Transportation]]></category>
		<guid isPermaLink="false">https://lidarnews.com/?p=11720</guid>

					<description><![CDATA[As robotaxis move from pilot programs toward commercial scale, one lidar supplier is capturing most of the market. According to Yole Group&#8217;s Robotaxi 2026 report, Hesai Technology held a 62% share of the $65 million global robotaxi lidar market in 2025, up from 61% in Yole&#8217;s previous edition. Robotaxi Lidar at the Heart of Level [&#8230;]]]></description>
		
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			<slash:comments>0</slash:comments>
		
		
			</item>
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		<title>Open-Source Forest Lidar Classification: Models and Methods</title>
		<link>https://lidarnews.com/forest-lidar-classification-open-source-ai-models/</link>
					<comments>https://lidarnews.com/forest-lidar-classification-open-source-ai-models/#respond</comments>
		
		<dc:creator><![CDATA[Brett Ruether]]></dc:creator>
		<pubDate>Tue, 27 Oct 2026 17:10:42 +0000</pubDate>
				<category><![CDATA[Lidar]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[Airborne Lidar]]></category>
		<category><![CDATA[Forestry]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[Point Cloud]]></category>
		<category><![CDATA[Remote Sensing]]></category>
		<guid isPermaLink="false">https://lidarnews.com/?p=11701</guid>

					<description><![CDATA[A drone lidar study on canopy complexity shows how far three labeled plots can go, and where it fits among the open models now used for forest lidar classification. Canopy structural complexity has become one of the more useful numbers to pull from a forest point cloud. It describes how leaves, branches, and stems fill [&#8230;]]]></description>
		
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			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>Lidar for Distribution Vegetation Management: How Utilities Prioritize Tree Risk</title>
		<link>https://lidarnews.com/lidar-distribution-vegetation-management-power-lines/</link>
					<comments>https://lidarnews.com/lidar-distribution-vegetation-management-power-lines/#respond</comments>
		
		<dc:creator><![CDATA[Sarah Roe]]></dc:creator>
		<pubDate>Tue, 27 Oct 2026 16:18:04 +0000</pubDate>
				<category><![CDATA[Lidar]]></category>
		<category><![CDATA[Airborne Lidar]]></category>
		<category><![CDATA[Forestry]]></category>
		<category><![CDATA[Infrastructure Mapping]]></category>
		<category><![CDATA[Remote Sensing]]></category>
		<category><![CDATA[Wildfire]]></category>
		<guid isPermaLink="false">https://lidarnews.com/?p=11692</guid>

					<description><![CDATA[Trees remain one of the leading causes of power outages on distribution networks, and in a wildfire-prone climate, they are also one of the biggest liability risks an electric utility carries. For decades, the answer has been boots on the ground: arborists walking line after line, looking up, and making judgment calls span by span. [&#8230;]]]></description>
		
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			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>$34M Series A Funding Fuels Mach9 AI CAD for Lidar Scans</title>
		<link>https://lidarnews.com/mach9-funding-34m-series-a-ai-cad-lidar-civil-survey/</link>
					<comments>https://lidarnews.com/mach9-funding-34m-series-a-ai-cad-lidar-civil-survey/#respond</comments>
		
		<dc:creator><![CDATA[Sarah Roe]]></dc:creator>
		<pubDate>Tue, 27 Oct 2026 00:14:58 +0000</pubDate>
				<category><![CDATA[Lidar]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[Infrastructure Mapping]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[Mobile Mapping]]></category>
		<category><![CDATA[Point Cloud]]></category>
		<category><![CDATA[Transportation]]></category>
		<guid isPermaLink="false">https://lidarnews.com/?p=11696</guid>

					<description><![CDATA[Capturing the physical world has never been faster. A mobile mapping vehicle can scan miles of roadway in a single day. Turning that point cloud into an engineering drawing, however, is still slow, manual work, and it has become one of the biggest bottlenecks in infrastructure projects. Mach9, the San Francisco company building AI CAD [&#8230;]]]></description>
		
					<wfw:commentRss>https://lidarnews.com/mach9-funding-34m-series-a-ai-cad-lidar-civil-survey/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>3DMakerpro Raven Review: Hardware, Software &#038; Performance</title>
		<link>https://lidarnews.com/3dmakerpro-raven-review/</link>
					<comments>https://lidarnews.com/3dmakerpro-raven-review/#respond</comments>
		
		<dc:creator><![CDATA[Adam Clark]]></dc:creator>
		<pubDate>Wed, 21 Oct 2026 08:02:16 +0000</pubDate>
				<category><![CDATA[SLAM]]></category>
		<category><![CDATA[3D Gaussian Splatting]]></category>
		<category><![CDATA[AEC]]></category>
		<category><![CDATA[Laser Scanning]]></category>
		<category><![CDATA[Reality Capture]]></category>
		<guid isPermaLink="false">https://lidarnews.com/?p=11674</guid>

					<description><![CDATA[Having recently spent time testing 3DMakerpro Raven 3D scanner, I found that despite a steep learning curve and occasional black-box software behavior, it ultimately enabled me to produce impressive scans. What Comes in the Box The Raven arrives packaged in a hard travel case with custom laser-cut foam compartments. The kit includes the main sensor [&#8230;]]]></description>
		
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			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>Geo Week 2027 Conference Program and Speaker Roster Announced</title>
		<link>https://lidarnews.com/geo-week-2027-conference-program-and-speaker-roster-announced/</link>
					<comments>https://lidarnews.com/geo-week-2027-conference-program-and-speaker-roster-announced/#respond</comments>
		
		<dc:creator><![CDATA[Press Release]]></dc:creator>
		<pubDate>Wed, 21 Oct 2026 05:14:34 +0000</pubDate>
				<category><![CDATA[Events]]></category>
		<category><![CDATA[Geo Week]]></category>
		<guid isPermaLink="false">https://lidarnews.com/?p=11671</guid>

					<description><![CDATA[Sessions tackle AI realities, subsurface mapping, resilient infrastructure, workforce challenges, and more, plus new Digital Insider Access option Salt Lake City, UT – October 13, 2026 — Organizers of Geo Week, the premier conference and trade show for geospatial and mapping professionals, have announced the conference program and speaker lineup for the 2027 event, taking [&#8230;]]]></description>
		
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			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>Automotive Lidar: A Complete Guide</title>
		<link>https://lidarnews.com/automotive-lidar-complete-guide/</link>
					<comments>https://lidarnews.com/automotive-lidar-complete-guide/#respond</comments>
		
		<dc:creator><![CDATA[Sarah Roe]]></dc:creator>
		<pubDate>Wed, 14 Oct 2026 17:58:43 +0000</pubDate>
				<category><![CDATA[Autonomous Vehicles]]></category>
		<category><![CDATA[Lidar Basics]]></category>
		<category><![CDATA[Transportation]]></category>
		<guid isPermaLink="false">https://lidarnews.com/?p=11657</guid>

					<description><![CDATA[Automotive lidar is a laser-based sensor that gives cars a precise 3D picture of the road around them. It measures distance to other vehicles, pedestrians, and obstacles in any light, and it is now moving from test fleets into mass-market vehicles as prices fall to a few hundred dollars. This guide covers how automotive lidar [&#8230;]]]></description>
		
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			<slash:comments>0</slash:comments>
		
		
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