Lidar jobs

I need a developer who can stream raw LiDAR packets directly into a live point-cloud renderer and have that same data trigger real-time incident reports inside our existing “Alarm Reports” environment. The visual side must handle continuous, high-density point clouds with smooth pan, zoom, and color mapping, updating as new frames arrive. Performance is critical; latency should remain low enough that field personnel can make operational decisions on the fly. On the reporting side, every anomaly or threshold breach detected in the incoming data should spawn an incident record instantly, complete with timestamp, location coordinates and a snapshot of the point cloud at the moment of the event. These incident reports have to show up in the Alarm Reports interface the mo...

Please Sign Up or Login to see details.

I am looking for a Civil 3D specialist who can take an existing LiDAR point-cloud and turn it into a clean, accurate as-built drawing for a road corridor. The data has already been captured and is ready for processing; what I need now is the technical expertise to convert it into dependable Autodesk AutoCAD Civil 3D (or Trimble Business Center) deliverables that meet current roadway standards. Your role will be to import and classify the point cloud, generate the surface, extract breaklines where necessary, and produce a full set of road as-built files. That includes correct layering, coordinate integrity, and geometry that can be dropped straight into our design workflow for further detailing by our in-house team. Ensuring compliance with local design codes and maintaining drawing...

...scientist/specialist to collaborate on LiDAR and photogrammetry projects with mandatory and specific certifications. ***ASPRS Certification: Certified Mapping Scientist – Lidar or Certified Photogrammetrist or Certified Lidar Technologist.*** Mandatory requirements: 1. Verifiable experience with: / TerraModeler Metashape Professional 2. Solid knowledge of: a. GNSS (RTK / PPK) b. Topographic survey c. Ground Control (GCPs) d. Coordinate systems and transformations e. Quality Control (QA/QC) 3. Experience in: a. LiDAR Point Cloud Classification b. Generation of DTM, DSM and DEM c. Creating contour lines d. Orthomosaics e. Feature extraction f. Horizontal and vertical accuracy review Required: ASPRS Certification: 1. Certified Mapping Scientist ...

...design, functional requirements, and hardware and develop a robust, manufacturable, serviceable, and professionally finished final prototype. Key Responsibilities * Complete mechanical design and CAD development of the robot. * Chassis, frame, enclosure/panels, component mounts, brackets, and internal packaging. * Integration of cleaning mechanisms, tanks, pumps, motors, batteries, electronics, LiDAR, sensors, and related hardware. * Improve overall Industrial Design, form, proportions, enclosure design, and product aesthetics. * Design for manufacturability, assembly, maintenance, and serviceability. * Material and manufacturing process selection, including sheet metal, fabricated parts, plastics/enclosures, and fasteners. * Prepare detailed CAD assemblies, manufacturing drawi...

Our upcoming construction-tech platform needs a purpose-built LiDAR module that delivers millimeter-level distance measurements on both indoor and outdoor sites. The ultimate goal is seamless, low-latency distance read-outs that speak directly to our embedded controller and feed real-time data into construction workflows familiar to civil and architectural teams. Key requirements • Distance-only measurement, no full 3D mapping • Consistent accuracy within a few millimeters across typical construction ranges • Stable performance both under roof and in open sunlight • Clean, well-documented firmware that exposes measurements via UART or SPI (existing MCU is ARM-based C/C++) • Clear calibration and verification procedure that site managers can execute...

I need to fuse my LiDAR and IMU data on an off-board companion computer so the vehicle can build an accurate map of industrial boilers and keep its pose estimate rock-solid while navigating inside them. The sole focus is high-accuracy positioning; real-time processing speed and terrain adaptation are secondary nice-to-haves, but the map must not drift more than ±5 cm during a full inspection run. Current stack • 360° mechanical LiDAR and MEMS IMU already mounted • Jetson Xavier NX running Ubuntu 22.04 + ROS 2 Humble • Flight controller communicating through MAVLink for off-board control What I need from you • ROS 2 nodes (C++ or Python) or a complete package set that performs LiDAR-Inertial odometry/SLAM, tuned for the confined,...

I need to fuse my LiDAR and IMU data on an off-board companion computer so the vehicle can build an accurate map of industrial boilers and keep its pose estimate rock-solid while navigating inside them. The sole focus is high-accuracy positioning; real-time processing speed and terrain adaptation are secondary nice-to-haves, but the map must not drift more than ±5 cm during a full inspection run. Current stack • 360° mechanical LiDAR and MEMS IMU already mounted • Jetson Xavier NX running Ubuntu 22.04 + ROS 2 Humble • Flight controller communicating through MAVLink for off-board control What I need from you • ROS 2 nodes (C++ or Python) or a complete package set that performs LiDAR-Inertial odometry/SLAM, tuned for the confined,...

...I have: - 250+ high-resolution photos of the hub cap from every angle - Some dimensions that can be used as reference measurements to scale the model accurately - Some lidar scans of the hub cap too The goal is to reverse-engineer the hub cap into a highly accurate 1:1 scale 3D model that I can use to 3D print a display replica. Accuracy is extremely important. I’m not looking for a model that simply looks similar — I need the geometry to be as close to the original physical hub cap as possible, with the dimensions correctly scaled to real life. I can provide all 250+ photos and the reference dimensions + lidar scans. I’m also happy to provide additional measurements/photos if needed during the modelling process. Ideally, I would like the final...

LiDAR Annotation Specialist (Remote, Freelance) Job Type: Freelance / Contract Location: Remote Schedule: Minimum 6 hours/day, 30 hours/week (fixed working hours) About the Role We're looking for a detail-oriented LiDAR Annotation Specialist to join our team on a remote, freelance basis. You'll work on labeling 3D point cloud data used to train perception and navigation models for robotics and autonomous systems. Responsibilities Annotate LiDAR point cloud data with accurate 3D bounding boxes and object classifications Identify and label objects such as vehicles, pedestrians, lanes, and structures Maintain consistency and precision across large annotation batches Meet daily and weekly productivity targets Flag ambiguous or edge cases to the QA/review team...

...clientes internacionais por telefone, e-mail e chat, acompanhando cada oportunidade ao longo do funil de vendas em nosso CRM. O que esperamos de você: * Excelente comunicação em inglês; * Facilidade para criar conexão com os clientes e entender suas necessidades; * Perfil consultivo, ajudando cada pessoa a encontrar ou personalizar a solução que melhor atenda ao que procura; * Habilidade para lidar com objeções e resolver situações com empatia e profissionalismo; * Organização e atenção aos detalhes para registrar todas as interações no CRM e manter os relatórios atualizados; * Comprometimento com follow-ups consistentes e um breve relatóri...

...Organização da Rotina: Gerenciar sua própria carteira de leads e sua agenda de prospecção de forma autônoma, garantindo uma esteira constante de oportunidades. Requisitos e qualificações Ensino Médio Completo (obrigatório); Excelente comunicação verbal e escrita, com habilidade para se adaptar à linguagem de diferentes perfis de empreendedores; Perfil resiliente e persistente, com disposição para lidar com "nãos" e seguir em frente; Autonomia total para organizar sua própria rotina de trabalho e estratégias de abordagem; Conhecimento básico em redes sociais e aplicativos de mensagem (WhatsApp Business, Instagram); Não é ...

An A4, single-page flyer is needed to showcase our drone-based LiDAR service that pinpoints threatened Malleefowl mounds for mining operations. The look must stay strictly professional and corporate, in line with the tone mining executives expect. I will supply: • Final copy that focuses on the benefits of LiDAR technology (already written). • Our co-branded logo and its associated colour palette. LiDAR DEM showing Malleefowl nest and an image of a Malleefowl What the finished piece should do: • Visually connect mining imagery with aerial drone and LiDAR point-cloud graphics. • Highlight the supplied “benefits” text as the main message, with a concise call-to-action. • Maintain clean, confident typography and plenty o...

3D LiDAR Point Cloud Bounding Box Annotation (Object Detection) Project Description: Overview: We are looking for experienced data annotators to perform high-quality 3D LiDAR bounding box labeling (cuboid annotation) on point cloud datasets for autonomous driving/robotics perception models. Scope of Work: Annotate Objects: Draw tight, precise 3D bounding boxes (cuboids) around target objects in point cloud scenes. Classes to Label: Vehicles (cars, trucks, buses), Pedestrians, Cyclists, and Miscellaneous obstacles. Orientation & Heading: Correctly align the orientation vector (yaw/heading direction) of each bounding box. Temporal Tracking (Interpolation): Track objects across sequential frames, ensuring consistent object IDs and smooth transitions. Strict Quality C...

...background in architectural design What I provide Technology Surveys & Inspections LLC Aerial &3D Ground LiDAR Scanning | Survey-Grade UAS | As-Built CAD Deliverables Field Data to Finished Drawings — Faster, Safer, and More Accurate Architects As-built renovations, Remodeling Contractors, Civil engineering, land development, and infrastructure projects live and die by the quality of the survey data behind them. We provide end-to-end 3D reality capture — from high-density LiDAR point clouds to survey-grade drone mapping — delivered as clean, usable, engineer-ready CAD files. One partner, from field capture to final DWG. What I Deliver • Ground LiDAR Scanning — Handheld/mobile 3D LiDAR scanning of sites, structures...

3D LiDAR Point Cloud Bounding Box Annotation (Object Detection) Project Description: Overview: We are looking for experienced data annotators to perform high-quality 3D LiDAR bounding box labeling (cuboid annotation) on point cloud datasets for autonomous driving/robotics perception models. Scope of Work: Annotate Objects: Draw tight, precise 3D bounding boxes (cuboids) around target objects in point cloud scenes. Classes to Label: Vehicles (cars, trucks, buses), Pedestrians, Cyclists, and Miscellaneous obstacles. Orientation & Heading: Correctly align the orientation vector (yaw/heading direction) of each bounding box. Temporal Tracking (Interpolation): Track objects across sequential frames, ensuring consistent object IDs and smooth transitions. Strict Quality C...

...control algorithm capable of operating in two configurations: Configuration A: Accelerometer-based Active Suspension Control. Configuration B (Optional): LiDAR-assisted Predictive Active Suspension Control. The software shall automatically control the proportional hydraulic valves to achieve optimum ride comfort, vehicle stability, and suspension performance. Scope of Development Phase 1 – Sensor Integration Develop software interfaces for the following sensors: Mandatory 3-axis Accelerometer Gas Pressure Sensor (Hydro-Pneumatic Suspension) Suspension Position / Displacement Sensor Vehicle Speed Signal Optional Steering Angle Sensor LiDAR Sensor (for predictive mode) Note: Hydraulic pressure sensors, GPS and RGB cameras are not part of the present scope. Phase...

...General Science (Microscopy, lab experiments, molecular diagrams, charts, etc.) 2. Maps & Technical Diagrams (Transit maps, floor plans, network/process flowcharts, etc.) 3. Geospatial / Satellite (Satellite/drone imagery, GIS visualizations, topographic maps, etc.) 4. Agriculture (Crop diseases, plant growth stages, farm machinery, irrigation, etc.) 5. Robotics (Robotic arms, warehouse automation, LiDAR visualizations, etc.) Apart from These ( Urgent) 1. Semiconductors Engineering (Wafer photos, die shots, chip layouts, PCB-mounted chips, etc.) 2. Manufacturing (Production lines, industrial machinery, quality/defect inspections, etc.) 3. Robotic & Automation Engineering 4. Power Systems 5. Telecommunication Strict Quality & Technical Requirements: 1. Image Types:...

...runway-patrol drone spot even the tiniest foreign object debris (FOD) in real time. The airframe already carries LiDAR, an infrared sensor and an electro-optical (EO) camera; what is missing is the software that fuses those feeds, classifies debris and reports exact GPS position so ground crews can clear it fast. Scope of detection • Metallic pieces, plastic fragments and loose stones—down to roughly 1 mm in size. • Operation must be reliable in both daylight and nighttime conditions. • Accuracy target is set to a high threshold; false positives have to stay low while recall stays near perfect. Key tasks 1. Build or adapt a multi-sensor fusion pipeline that consumes LiDAR point clouds, IR imagery and EO frames. 2. Train or fine-tune the det...

...end-effector layout all optimised so the robot spends more time wiping and less time repositioning. Alongside that, it must autonomously detect and avoid obstacles such as window frames, protruding cameras, or façade fins while staying on its cleaning path. Here’s how I picture our collaboration: • Translate the concept into a detailed mechatronic architecture, selecting motors, sensors (vision, LiDAR or ultrasonic), and a lightweight adhesion/traction system that works on large glass areas. • Produce CAD models and simulation files showing force analysis, coverage patterns, and predicted cleaning throughput. • Develop the control framework—preferably in ROS or a comparable real-time environment—that fuses IMU and vision data for obstac...

I need a roof-rack system engineered specifically to mount an autonomous-vehicle sensor suite—cameras, LiDAR, and radar—in a clean, reliable, and easily serviceable way. The rack must let me place any of these sensors horizontally, vertically, or at fine-tuned adjustable angles so I can dial in each unit’s field of view without disassembling the whole structure. Your task is to take my rough sketches and dimensional constraints and turn them into a complete mechanical design that can go straight to fabrication. I plan to prototype most parts on an FDM printer and later shift load-bearing components to laser-cut aluminum, so the model needs to include both printable geometries and clear callouts for metal brackets or inserts where extra stiffness is required. If yo...

I need a full terrain-focused GIS study of the Makkah Region so I can fabricate an accurate 3D physical model later on. Please base the work primarily on Copernicus DEM, and feel free to blend in SRTM, ALOS World 3D, any available LiDAR tiles, plus Sentinel-2 or Landsat imagery where they help refine detail or colour a final render. QGIS or ArcGIS Pro are fine; Global Mapper, GDAL and Google Earth Pro can support intermediate steps. I’ll provide the exact AOI boundary once we start. From there, I expect the following discrete outputs, all properly georeferenced in the same projected coordinate system: • Area & perimeter calculations • Min, max, mean elevation and range • Contour set at custom intervals • Slope, aspect and hillshade rasters &bu...

Hello, I have been working in data annotation for almost 3 years, gaining extensive experience in annotations. This makes me a valuable addition to your team. In addition, I have much experience in image annotation, segmentation, bounding boxes, polygons, key points, 2D and 3D annotations, and even LIDAR annotations. Tools: CVAT Roboflow LabelImg Labelbox VGG Doccano Label Studio Annotation Solutions: Bounding Boxes Image annotation Object labeling/tagging Semantic Segmentation Polygons Annotation/masks Polylines Annotation Key Points annotation Sentiment, Text & Topic Analysis Image classification and categorization Object Tracking Data Annotation Data Output Formats:Pascal ...

The SERİ 75 project is a tech-forward, investment-ready opportunity in precision agriculture. Offering robust potential for scalability, this autonomous agricultural tractor concept integrates RTK GPS, LiDAR, IoT telemetry, and more. With comprehensive CAD designs and simulations in place, we aim at securing strategic alliances for equity investment or acquisition. Detailed financial projections and a clear go-to-market strategy will be shared with interested parties after an NDA. Key objectives include: 1. Attracting manufacturers or investors keen on modernizing farming solutions. 2. Developing a prototype-to-market roadmap with joint milestones. 3. Refining manufacturing and certification plans for a global launch. Looking forward to collaborating with entities interested in re...

Hello, I have been working in data annotation for almost 3 years, gaining extensive experience in annotations. This makes me a valuable addition to your team. In addition, I have much experience in image annotation, segmentation, bounding boxes, polygons, key points, 2D and 3D annotations, and even LIDAR annotations. Tools: CVAT Roboflow LabelImg Labelbox VGG Doccano Label Studio Annotation Solutions: Bounding Boxes Image annotation Object labeling/tagging Semantic Segmentation Polygons Annotation/masks Polylines Annotation Key Points annotation Sentiment, Text & Topic Analysis Image classification and categorization Object Tracking Data Annotation Data Output Formats:Pascal ...

Map based Lidar Data (Point Cloud) annotators required.

Approximately 400 GB of raw LiDAR and imagery data has been collected using the DJI Zenmuse L2. The project consists of two communities. For each community, there are Three separate datasets to process: Dataset A: High-density LiDAR focus on the in-town electrical distribution powerline network. Dataset B: Ortho mosaic of the town. Dataset C: High-altitude LiDAR and orthophotos covering the entire town and surrounding area. Processing Requirements Process all data using PPK. RINEX files are included. Base station coordinates and antenna height can be provided if required. Coordinate System: NAD83 (CSRS) UTM Zone 17N Deliverables (Per Community) – Distribution Powerlines (In-Town) 1. Classified LiDAR Point Cloud (.LAS/.LAZ) Focus on the electrical distri...

Map based Lidar Data (Point Cloud) annotators required.

Map based Lidar Data (Point Cloud) annotators required.

I need software to monitor a 3D lidar sensor. The software should identify vehicles within a 0-50 meters range and provide real-time distance and height data on a dashboard. Key requirements: - Identify overhead obstacles within 25-30 meters by way of 3d lidar data - Real-time display on a dashboard height and distance from vehicle -real time warning, real time command when criteria is met x2 - Manual input for sensor mounting position x2 one 3d one 2d to distinguish accurate parameters (height and distance -Inclination will be required as well as other dimensions. as one sensor will move on the vehicle up n down -output signals x2 to an I/O board when criteria is met to do so Ideal skills and experience: - Experience with lidar data processing - Dashboard ...

We are developing an industrial mobile platform equipped with: - Mini PC - STM32 controller - LiDAR sensor - Wheel encoders - Ethernet communication We are looking for a ROS2 developer to assist with: - ROS2 integration - Encoder data processing - Odometry calculation - LiDAR integration - Mapping - Localization - Route planning - Area coverage algorithms - Data visualization - Software architecture Required Skills: - ROS2 - Python - SLAM - LiDAR - Navigation2 - Robotics Software - Linux - Path Planning - Sensor Fusion Deliverables: - Source code - Documentation - Installation guide - Testing support The project focuses on software development, mapping, localization and route planning for an industrial mobile platform.

I have a 101 km² land parcel in Rajasthan, India, and a precise .KMZ boundary for it. I need a full GIS-based study that traces how rainwater will move across this terrain, outlines every natural channel, and defines each watershed feeding into them. Please base the calculations on high-resolution elevation data (SRTM, LiDAR or better) and run at least three rainfall-intensity scenarios so I can see how flow paths and accumulation points shift from light showers to cloud-bursts. What I must receive at the end: • Watershed mapping: clearly delineated catchments and sub-catchments delivered as shapefiles and a georeferenced map. • Drainage network analysis: all flow lines, stream orders, and key pour points in shapefile form, plus an annotated PDF explaining methodo...

...Obstacle Blindness: The robot occasionally ignores physical walls or obstacles because sensor data projection timing mismatches corrupt the local costmap. Technical Stack OS / Framework: ROS 1 (Melodic/Noetic) running on an Ubuntu x86 Wyse Terminal. Localization & Mapping: AMCL and map_server. Navigation Stack: move_base with NavfnROS (Global Planner) and DWAPlannerROS (Local Planner). Sensors: 2D LiDAR (/scan_filter topic) and...

I need aerial images, ground images, list of owners, 3D LIDAR image, DTM, Tree, etc. The land is located in Conway County Arkansas. Thanks

I am refining the mapping and localisation stack on a mobile robot and need an engineer who lives and breathes SLAM. The sensor mix is still open—camera-only, RGB-D, or a lidar-centric approach could all work—so part of your first task will be to advise on the optimal sensing strategy for real-time, drift-free operation. You will then design or adapt the SLAM pipeline, implement it in C++/Python (ROS2 friendly), and make sure it integrates cleanly with my existing navigation software. Low-latency loop-closure, map optimisation, and robust relocalisation in feature-poor areas are non-negotiable. Once things are running, I expect measurable frame-to-frame accuracy improvements and a clear performance report that includes CPU/GPU utilisation and update rates. Delivera...

We are seeking an experienced GIS, surveying, LiDAR, and point cloud processing professional to transform a cleaned point cloud dataset and GPS/RTK survey information into a fully georeferenced topographic model suitable for engineering design, construction planning, earthworks analysis, and quantity estimation. The selected specialist will receive cleaned point cloud files (LAS, LAZ, E57, RCP, RCS, or similar formats), GPS/RTK control data, and coordinate system information. All outputs must be accurately referenced to the provided WGS 84 coordinate framework while preserving spatial integrity and survey-grade accuracy. Scope of Services The successful candidate will be responsible for: Georeferencing the point cloud using supplied GPS/RTK control points. Validating registratio...

We are seeking an experienced GIS, surveying, LiDAR, and point cloud processing professional to transform a cleaned point cloud dataset and GPS/RTK survey information into a fully georeferenced topographic model suitable for engineering design, construction planning, earthworks analysis, and quantity estimation. The selected specialist will receive cleaned point cloud files (LAS, LAZ, E57, RCP, RCS, or similar formats), GPS/RTK control data, and coordinate system information. All outputs must be accurately referenced to the provided WGS 84 coordinate framework while preserving spatial integrity and survey-grade accuracy. Scope of Services The successful candidate will be responsible for: Georeferencing the point cloud using supplied GPS/RTK control points. Validating registratio...

We are seeking an experienced GIS, surveying, LiDAR, and point cloud processing professional to transform a cleaned point cloud dataset and GPS/RTK survey information into a fully georeferenced topographic model suitable for engineering design, construction planning, earthworks analysis, and quantity estimation. The selected specialist will receive cleaned point cloud files (LAS, LAZ, E57, RCP, RCS, or similar formats), GPS/RTK control data, and coordinate system information. All outputs must be accurately referenced to the provided WGS 84 coordinate framework while preserving spatial integrity and survey-grade accuracy. Scope of Services The successful candidate will be responsible for: Georeferencing the point cloud using supplied GPS/RTK control points. Validating registratio...

Project Description I am looking for an experienced GIS, surveying, LiDAR, and point cloud processing specialist to convert a cleaned point cloud and GPS survey data into a fully georeferenced topographic dataset suitable for engineering, construction planning, and quantity take-off workflows. I will provide: Cleaned point cloud data (LAS, LAZ, E57, RCP, RCS or similar format); GPS/RTK survey observations and control points; Coordinate reference information. All deliverables must be referenced to the supplied WGS 84 coordinate system and maintain full geospatial accuracy throughout the project. Scope of Work The successful freelancer will be required to: Georeference and validate the point cloud using the supplied GPS control points; Verify registration accuracy and coordinat...

...tolerance appropriate for reverse-engineering consumer products. After processing, deliver the finished model in STP/STEP format. A clean, watertight solid with logically named bodies and edges is essential; I don’t need texture or color maps. You will need to visit the location (inside Loop 410) to scan the suitcase. Let me know what scanning method you prefer—structured light, photogrammetry, or LiDAR—and your typical turnaround from on-site capture to final file delivery. If your workflow produces an intermediate mesh (OBJ, PLY, or similar), feel free to share it alongside the STEP so I can preview progress, but the STEP file is the final deliverable. Please outline: • Your scanning approach and expected accuracy • Any special setup requirements...

Please Sign Up or Login to see details.

...parameters including: Friction Damping Inertia Contact dynamics Actuator behavior Collision models • Integrate robotics simulations with ROS2 ecosystems • Develop Python and/or C++ tooling for simulation infrastructure • Improve simulation fidelity and sim-to-real transfer performance • Profile and optimize simulation runtime performance • Implement sensor simulation systems including: Cameras LiDAR IMUs Force/Torque Sensors • Document simulation architecture, configurations, and validation methodologies Required Skills Robotics Simulation Strong experience with one or more of: • MuJoCo • NVIDIA Isaac Sim • Gazebo • Isaac Gym • Physics-based robotics simulation frameworks Programming Strong proficiency in: &...

...3D scan of an entire shipboard pipeline so I can carry out a thorough damage assessment. Every run, elbow, flange, valve, and connection from bow to stern must be captured with sufficient fidelity to let me zoom in and measure hairline corrosion or deformation afterwards. Accuracy and detail: sub-millimetre precision (±1 mm or better) is essential. Please deploy whichever method suits—laser/LiDAR, structured light, photogrammetry—so long as the raw point cloud is dense enough to generate a clean mesh and highlight surface defects. The final files have to open flawlessly in industry-standard software such as AutoCAD Plant 3D, Navisworks, or CloudCompare. Typical deliverables • Raw point cloud (E57 or LAS) • Cleaned, registered mesh (OBJ or ST...

...structure will sit beside other drive-through services—think international fast-food lanes and car-washes—so it has to catch a driver’s eye the moment they turn in, broadcast brand identity from every angle, and guide them smoothly through an automated scan. Core experience I need shown: • Driver registers at a touch-screen kiosk, enters the tunnel, and keeps rolling while integrated cameras, LIDAR and lighting scan and photograph the entire vehicle, capture plates, and document overall body condition. • As the customer exits, the system instantly pushes an evaluation, value and purchase offer to their phone or in-lane screen. Visual priorities you must weave into the concept: • A distinctly modern form factor—clean lines, confident geom...

We are looking for an experienced GIS and remote sensing specialist to generate a high-quality topographic map from LiDAR data. The freelancer should be able to process the point cloud data, create digital elevation models (DEM/DTM), and generate accurate contour lines. Please provide examples of your previous topographic mapping projects.

UGV & Autonomous Navigation Develop autonomous robotic applications, Experience in ROS2, Nav2, SLAM (RTAB-Map, FAST-LIO), Localization, mapping, and path planning for UGV/AMR platforms. Build sensor fusion and perception pipelines Integrating LiDAR, IMU, GPS, depth cameras, Design multi-robot/swarm robotics solutions, Swarm SLAM, decentralized coordination, and fleet management.

I’ll provide raw LiDAR point-clouds and need you to turn them into presentation-ready topographic products—fast and flawless. Your workflow will start in Global Mapper (your stated preference) to import and classify the clouds, then continue through DEM generation, contour extraction, hillshade creation, and optional 3-D scene building. I review spot elevations against ground-control before sign-off, so accuracy down to the decimetre is essential. Deliver the first draft as soon as practicable; once I return comments, I expect a quick final turnaround. Deliverables • Clean DEM in GeoTIFF format • Contour lines (vector) • Hillshade raster • Lightweight 3-D model or scene file (any common format you support) • Print-quality PDF map and ...

I’m at an intermediate stage with both Global Mapper and QGIS and now want to master LiDAR-based 3-D mapping workflows through a series of live video calls. My priority is to handle point-cloud data confidently—bringing it in, pushing it out, viewing it in full 3-D, and extracting meaningful analysis. During our sessions I’d like to: • Refine data import and export techniques for LAS/LAZ, DEM and vector layers, ensuring clean round-tripping between the two programs. • Build convincing 3-D visualisations in each platform, including fly-throughs and elevation-tinted models. • Run practical analyses—classification, terrain models, volumetrics, profile extractions—and package the results for clients. I learn best by sharing screens and...

I'm seeking an experienced C++ developer to integrate Lidar and camera sensors for navigation purposes. The code should be optimized for Linux platforms. Key Requirements: - Develop sensor fusion algorithms - Integrate Lidar and camera data - Focus on navigation accuracy - Optimize code for Linux Ideal Skills: - Proficiency in C++ - Experience with sensor fusion - Strong background in navigation systems - Familiarity with Linux development environments Please provide examples of relevant work and your approach to the project.

...analyze it, and produce a clear, understandable score. Think: * Zillow Zestimate — but for building condition * A clean, visual Building Health Score (0–100) ⸻ Initial Use Case (Kansas City Pilot): * We will provide one real building in Kansas City, Missouri * MVP will initially use demo/sample data * Platform must be structured to later integrate: * Drone imagery * LiDAR data * Thermal data ⸻ MVP Scope (Phase 1): 1. Web-Based User Portal * Secure login/authentication * Clean, modern dashboard ( branded) * Ability to upload or select a building dataset * View results in a simple, investor-friendly interface ⸻ 2. Demo Data + Data Pipeline * Use preloaded sample building data * Backend structured for future real-...