# LiDAR Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/lidar
> Markdown URL: https://aitinkerers.org/technologies/lidar.md
> Technology record last updated: 2026-09-18T14:19:46Z
> Generated: 2026-09-22T15:46:36Z

LiDAR (Light Detection and Ranging) is an active remote sensing method: it uses pulsed laser light to measure distance and generate precise, real-time 3D models (point clouds) of an environment.

LiDAR systems operate by emitting millions of laser pulses per second and measuring the 'Time of Flight' (ToF) for the light to return to the sensor. The core instrument package—laser, scanner, and a specialized GPS/IMU—calculates distance using the constant speed of light (approx. 299,792,458 m/s), compiling the results into a dense 3D point cloud. This high-resolution data is critical for multiple applications: autonomous vehicles (for real-time object detection), high-accuracy topographic mapping (e.g., the USGS 3DEP program), and infrastructure inspection (power lines, bridges).

- Official technology site: https://oceanservice.noaa.gov/facts/lidar.html
- Public AI Tinkerers demos and talks: 6
- Result page: 1 of 1

## Recent Public Talks and Demos

### [From Rehabilitation to Flapping Wings: Real-Time Perception Driving Physical Systems](https://tokyo.aitinkerers.org/talks/rsvp_c8643kvumj0)

I build AI perception systems that drive physical robots. Three projects, one thread: cameras and sensors feeding real-time decisions into motors, navigation, and flight. First, the AI motion-evaluation module I built during my internship at Genrobotics for G-KAI, a 4-DOF rehab arm, a camera-based system that scores a patient's movement in real time and drives the multi-motor control loop. Second, an amphibious robot I built independently (grant-funded, IEEE-published) that fuses LiDAR and camera for autonomous SLAM navigation on land and water. Third, a biomimetic ornithopter (flapping-wing UAV, design patent filed) from my startup, Ornistra Intelligence. On stage, I'll show a live recreation of the motion-tracking pipeline on a laptop, real SLAM visualization from the amphibious robot, architecture diagrams for each system, and photos of the actual ornithopter prototype.

- Event context: AI Tinkerers Tokyo - September 1st Meetup — 2026-09-01 — Tokyo
- Public talk page: https://tokyo.aitinkerers.org/talks/rsvp_c8643kvumj0

### [Teaching an LLM to be an interior designer](https://nyc.aitinkerers.org/talks/rsvp_G0dtIg_V-Dw)

A pipeline that turns a LiDAR room scan into art-placement decisions — which wall, what size, what art — by converting usdz geometry into per-wall design constraints that drive image generation, with a vision-LLM design critic whose judgments are verified, calibrated, and used to teach the deterministic scoring engine. Live, I'll walk the raw scan data (the LiDAR mesh and its JSON), the geometry visualizers that turn planes into design constraints, and the tooling we use to calibrate the critic and verify its judgments against the engine.

- Event context: August Demo Day ft Runpod, Veris, Openrouter, — 2026-08-19 — New York City
- Public talk page: https://nyc.aitinkerers.org/talks/rsvp_G0dtIg_V-Dw

### [SIRA - Mobile Data Collection & Analysis Station](https://conakry.aitinkerers.org/talks/rsvp_AuL6UmlDK1A)

DATA ANALYSIS & DASHBOARDS . Laptop / PC SIRA ROBOT PLATFORM Temperature & Humidity Sensors Data Processing Graphs & Trends Al Models Gas Air Quality Sensor Distance /LIDAR Sensor Live Data & Logs (CSV/ JSON)- WI-FI/ USB Motion & Light Sensors REMOTE MONITORING & CONTROL • Mobile App Interface Nestor Hop 27. 30 wk 26ək Live Sensor Display Motor Control Send Commands Wi-Fi/ USB Data Output Environmental Monitoring Industrial Inspection Research & Logging STEM Education

- Event context: AI Tinkerers – Conakry: Inaugural AI Conference @ Afrinov Tech Expo — 2026-02-11 — Conakry
- Public talk page: https://conakry.aitinkerers.org/talks/rsvp_AuL6UmlDK1A

### [SIRA - Mobile Data Collection & Analysis Station](https://conakry.aitinkerers.org/talks/rsvp_4uLd1TwjvVo)

DATA ANALYSIS & DASHBOARDS . Laptop / PC SIRA ROBOT PLATFORM Temperature & Humidity Sensors Data Processing Graphs & Trends Al Models Gas Air Quality Sensor Distance /LIDAR Sensor Live Data & Logs (CSV/ JSON)- WI-FI/ USB Motion & Light Sensors REMOTE MONITORING & CONTROL • Mobile App Interface Nestor Hop 27. 30 wk 26ək Live Sensor Display Motor Control Send Commands Wi-Fi/ USB Data Output Environmental Monitoring Industrial Inspection Research & Logging STEM Education

- Event context: AI Tinkerers – Conakry: Inaugural AI Conference @ Afrinov Tech Expo — 2026-02-11 — Conakry
- Public talk page: https://conakry.aitinkerers.org/talks/rsvp_4uLd1TwjvVo

### [Processing lidar into datasets used in machine learning](https://fort-wayne.aitinkerers.org/talks/rsvp_UVcx_eG1pnw)

Lidar is a pulsed laser scan of the surface of the Earth. Billions of points contain accurate X,Y and Z coordinates. This dense dataset can be used to build digital elevation models, hill shaded images, slope angles and flow accumulation models. This talk will describe and show how the lidar point cloud is downloaded, processed and interpreted into a digital format that can be used in machine learning algorithms. The ultimate goal will be to combine the results of many machine learning models in LLM's to predict the nature and fabric of the sub surface.

- Event context: AI Tinkerers Fort Wayne October 15th 2024 Meetup — 2024-10-15 — Fort Wayne
- Public talk page: https://fort-wayne.aitinkerers.org/talks/rsvp_UVcx_eG1pnw

### [Using Machine Learning in the Search for Petroleum](https://fort-wayne.aitinkerers.org/talks/rsvp_A7u_JsNvFKU)

This project attempts to predict the location of potential petroleum deposits using ESRI's ArcGIS Pro Spatial Statistics Forest-based and Boosted Classification and Regression deep learning algorithm. For the variable to predict, known historic oil wells in the 2nd Trenton pay of Grant and Madison counties of Indiana were used. The explanatory training rasters were multiple raster layers derived from airborne radiometric surveys, airborne lidar surveys and Landsat9 data. Results were compared to existing 2D seismic using prestack processing and AVO (Amplitude Velocity Offset) interpretation in an attempt at ground truthing the results.

- Event context: Fort Wayne AI Tinkerers: The Inaugural Meetup — 2024-01-25 — Fort Wayne
- Public talk page: https://fort-wayne.aitinkerers.org/talks/rsvp_A7u_JsNvFKU

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