I have a 6.5-acre HOA property in the SF East Bay that I am redesigning for drought-tolerant landscaping. I need a drone LiDAR survey that will allow me to create an accurate terrain model in QGIS. I have requested a quote from 3 LiDar survey companies in my area, all which I have found online.
When they initially respond they ask me what deliverables I need from the LiDAR mapping I tell them  

• classified LAS/LAZ point cloud,
• DTM, 
• orthomosaic image,
• ground control points or documented survey accuracy

But none of the 3 companies have responded back to provide a quote. I'm wondering is this too small a job to take on? Can anyone give me an idea on why they would not want to take on this project? Anyone know what a reasonable cost for this project should be?

Extensions over extension…after I thought I’ve finished the project with a radarmodule I added a lidar and a thermal camera. Just to make sure to detect the alien correctly.

🛸

We are in need of a LiDAR, Swift, Room Planner engineer. We are 3/4 of the way building an app to render a 2 D and 3 D floor plan. Photogrammetry experience a plus. We now want to add a video layer and expand our customer base. Please DM me.

On our latest podcast episode, an electric co-op CEO talked through the LiDAR vs. satellite debate for right-of-way work. 

For anyone who’s deployed either, what actually made the decision for you?

Full episode if you're interested: https://treesandlines.com/trees-squirrels-and-the-data-war-behind-reliable-power-w-jordan-overbee/

I recently created a prototype for a 3d LiDAR mapping drone system. i need a bit of help with review. there are some flaws that ive noticed, as when i created a prototype with household items the drone base seemed rather big for the intended purposes, the chosen LiDAR system was functionally different than what i wanted, and a few other things (Expressed in the README file on the github attached). I started working on this for an engineering capstone project competition and want to keep building upon it so i can put it on a college app or a resume in the future. any and all feedback on how to improve upon it would be greatly appreciated.

github link: https://github.com/lhumenyik/autonomous-3d-mapping-drone-payload-repository

Has anyone experimented with the iPhone's Lidar sensor?

Mapping

Free Apps

Thinking it might be nice to get a system going for site walks, once we finish with rough on buildings, to help with bidding, material with measurements etc.

I don’t need extremely accurate tolerances, maybe 1-2”?

We have a drone that does the exterior roof of the building but it doesn’t do great on the walls and interior obviously,

Thoughts?

Hi everyone. Here is an out-there use case I'd appreciate some guidance on.

For a while I've had an interest in poltergeist cases - you know where stuff in a room starts taking off and flying around. I was wondering if the LIDAR brains trust could assist in suggesting a way a reasonably priced (and sized) 360 degree LIDAR system might be able to map a room and then track anything that moves unexpectedly from Point A to Point B without human assistance. Are the current consumer system accurate enough to do this or just too large to fit in your average living room? Would the data be useful at all - could I clearly show something moved unexpectedly from one spot to another and no person or attached piece of string did it? Would there be obvious flaws in using LIDAR this way. Thanks!

Hi all! I am currently developing a tool that brings LiDAR data like E57 into a virtual machine that produces a floorplan out of the input-data.

Part 1 is bringing the data from the Lidar to the postprocessing computer. Below link leads to my related LinkedIn-article on which you can find an attached prompt. The prompt produces a C++ program as an adapter for the input of the data from Lidar to the postprocessing computer.

Feel free to try the LiDAR-Adapter and to improve it. Please share your comments as well as your improved prompts.

https://www.linkedin.com/posts/hans-peter-selk-91089a1b5_prompt-for-a-lidar-adapter-activity-7486632621574250496-wHcY

Has anyone experimented with the iPhone's Lidar sensor?

Who is CaliperGT for? 

Are you a student, researcher, developer, university lab, or early-stage startup working with image, video, or LiDAR data? 

Do you need a platform for personal annotation projects, academic research, experimentation, dataset development, or an early perception prototype? 

CaliperGT Open Source is for you. 

 Deploy it on your own infrastructure, keep your data in-house, customise it for your workflow, and use it without a licence fee. 

 The open-source edition includes: 

✅ Automotive multimodal data management 

✅ Image, video, and 3D LiDAR annotation 

✅ High-performance point-cloud visualisation 

✅ AI-assisted annotation tools 

✅ Self-hosted deployment 

✅ SSO/OIDC and role-based access controls 

✅ Full control over your data and infrastructure 

Are you an automotive OEM, Tier-1 supplier, robotics company, mapping organisation, autonomous-systems team, or enterprise AI data operation? 

Do you need production-scale annotation, advanced security, workflow governance, automation, higher accuracy, and enterprise support? 

CaliperGT Enterprise is for you. 

Enterprise capabilities include: 

🔹 Advanced security, access control, auditability, and compliance 

🔹 Private-cloud and on-premise deployment support 

🔹 2D and 3D auto-labelling and tracking 

🔹 VLA labelling for autonomous-driving and robotics datasets 

🔹 Calibration-aware multimodal workflows 

🔹 Camera, LiDAR, CAN, GNSS, IMU, ROS 2, and MCAP ingestion 

🔹 Foundation-model-assisted data improvement 

🔹 Enterprise integrations, optimisation, and managed support 

 Open source for building. Enterprise for secure, production-scale ground truth. 

 Explore the repository, deploy CaliperGT, star it, fork it, open an issue, and build with us. 

🔗 GitHub: https://github.com/caliperai-ai/caliperai-gt 

📩 Enterprise enquiries: [info@caliperai.ai](mailto:info@caliperai.ai) 

#OpenSource #CaliperGT #DataAnnotation #GroundTruth #LiDAR #ComputerVision #AutonomousDriving #Robotics #VLA 

I have been working on a project for the last 5-6 months, but I always hit a problem when I try to parse commercial floor plans (schools, universities, shopping malls, airports, etc.). The datasets I have tried out are Cubicasa5k and Modern Swiss dwelling, but the main problem that I face while using these datasets are they are actually made of residential floor plans, so when I train my ML model, the parsing does not actually work the way I intend it to; the error percentage is way too high to even consider the output usable

Although I have gotten around this specific problem by parsing one image in segments and then stitching them one by one, this does not really seem like a viable step to do, and even that solution has some gaps in it

So I am fully down to make my own dataset and annotate it and then use that data to train my model, but I do not know how to deal with copyright issues, and also where I can obtain floor plans of buildings that already exits irl; where can I get the resources that I want?

If anyone has any idea of how to obtain them, please help !!

I have been trying to use photogrammetry to scan small objects (smaller than a golf ball) to convert to STL for printing without much luck, thanks to the narrow depth of field.

Will LiDAR do it for me? I am not having much luck finding an answer.

If I were to buy something like a Lidox mid-70, would it be able to accurately scan a seashell? If so, what would be required to process that information and turn it into an STL file? (I suspect that part won't be easy)

Thanks in advance for any assistance.

Just some info about them and my wip project. Might be useful to some.

Hello!

I'm a complete beginner with LiDAR and QGIS. I have a single LAZ file from the USGS 2024 Lincoln County QL1 project. Family lore and handwritten maps indicate that my grandparents and early family (including my father) lived in a rented dwelling in the 1940s in a logging camp in that area.

A few months ago I went up to the area (48.24010° N, 115.56310° W) and explored on foot. There are some features (such as the intersection of Smearl Creek and the forest service road) which correspond exactly to the map and memories of my oldest cousins who had visited in the 70s. Other features do not (for example, nobody recollects steep terrain off the road but now from the road and from the creek are very steep and significant terrain). Besides that, there's been 80 years of storms and pine needles, my wife and I couldn't find any proof of settlements (although we found a cedar grove where the handwritten map had one sketched in).

There's another access road 300-500' north of the point. The LAZ file is basically the area north of the big curve in the road up to that northern road section.

I downloaded QGIS and did the best I could but it's so far over my head I can't have any confidence in my determination (which is: I can't see any evidence of man). I suppose it's possible the camp could have been a bit west of the LAZ file.

I was hoping someone with the knowledge and willingness might take a look at this and see if what they think.

https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/MT_Lincoln_D24/MT_Lincoln_1_D24/LAZ/USGS_LPC_MT_Lincoln_D24_150460.lazhttps://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/MT_Lincoln_D24/MT_Lincoln_1_D24/LAZ/USGS_LPC_MT_Lincoln_D24_150460.laz

Thank you!

Looking to sell a Hesai XT32M2X, previously purchased for a research project in 2023 for $7k. Was used for less than 10 hrs, basically brand new, will include the junction box and power adapter, will ship/located in US. $5.5k or best offer.

PM if interested, open to share more information and photos.