ORB-SLAM 360° Point-Cloud Mapping

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@mostafaharira

With my specialization in architectural design and 3D rendering, I believe I am the ideal candidate for your project. My previous experience in developing accurate and feasible architectural plans will prove invaluable in translating the complex data from your Insta360 camera and IMU sensors into precise walk path poses and a detailed scaled 3D point cloud of the construction sites accurately and quickly. I understand how critical it is to have a perfectly aligned coordinate frame when dealing with such data, ensuring the output is not only visually impressive but also metrically accurate. This aligns well with my unyielding commitment to quality standards, precision, and on-time delivery. I can assure you an automated process that requires no manual intervention once our solution has been set up. Moreover, my ability to optimize interior layouts and produce marketable 3D renderings ensures that the point clouds will be delivered at two levels of detail - a lightweight sparse cloud for quick verification, as well as a dense, millimeter-precise cloud with millions of points - truly transforming your walkthrough into a navigable virtual representation of the construction site. Choose me for meticulousness and proficiency - together we can bring project documentation into an immersive multi-dimensional realm!

@mussaibb7

I'd like to tackle the ORB-SLAM 360° Point-Cloud Mapping challenge by emphasizing pipeline reliability under real-world inputs. Given the complexity of construction site documentation, it's crucial to ensure the extraction and output pipeline can withstand variations in lighting, texture, and occlusions. With my experience in computer vision and ML delivery, I've developed a keen sense of pipeline robustness. For instance, in a previous project, I built a GPT-4 and FastAPI document automation pipeline that reduced turnaround time from 3 days to 18 hours. This achievement showcases my ability to optimize preprocessing, extraction quality, and latency. My execution plan involves: - Developing a reliable ORB-SLAM 360° Point-Cloud Mapping pipeline using C++, Python, and OpenCV. - Creating a runnable Python pipeline, accompanied by a requirements file, README/setup guide, and test examples. - Implementing confidence and fallback handling to ensure robustness in the face of real-world inputs. Before commencing delivery, I'd like to clarify the scope, first milestone, and most important technical constraint.

@bhargav922002

Hello, I'm bharghav, and I bring 10 years of experience in developing robust solutions for complex spatial mapping and data processing challenges. My expertise spans C++, Python, C Programming, and OpenGL, making me well-equipped for this project's technical demands. I've carefully reviewed your requirement for automated 360° point-cloud mapping from Insta360 footage, specifically for construction site documentation. I understand the need to derive a precise, scaled walk path pose file and both sparse and dense 3D point clouds, all without GPS dependency, relying solely on visual and IMU data. My approach will leverage advanced SLAM techniques, potentially integrating ORB-SLAM's capabilities, to process the INSV video and embedded IMU data. This will ensure accurate camera trajectory estimation and the generation of metrically accurate, aligned 3D point clouds using C++ for performance-critical sections and Python for scripting and data handling. OpenGL will be instrumental for visualization during development and for potential output verification. I'm eager to discuss the specifics further and outline a detailed plan. Please initiate a chat when you're ready. Best regards,

@shubhankar1967

Hi, I am an IITian with 10+ years of experience to develop similar projects ,I will deliver a high-quality solution using modern technologies and industry best practices. Kindly click on the chat button so I can share you my relavant projects. Lets connect

@rishus727

I develop custom software solutions for startups, businesses, and individuals. Whether you need a web application, backend API, automation tool, or desktop software, I deliver clean, maintainable, and efficient code. Services I Offer Custom web application development REST API development and integration Backend development Database design and optimization Bug fixing and code optimization Software maintenance Third-party API integration Authentication and user management Cloud deployment Performance optimization Technologies JavaScript / TypeScript Python Java C# React Node.js Express Django Flask .NET MySQL PostgreSQL MongoDB Docker Git Why Choose Me? Clean, well-documented code Responsive communication On-time delivery Scalable architecture Post-delivery support Please contact me before placing an order so we can discuss your requirements and recommend the best package.

@somendersingh96

Hello, I can build a fully automated visual-inertial mapping pipeline that processes your Insta360 X4 recordings into an accurately scaled camera trajectory and high-quality 3D point cloud without relying on GPS. My approach: Extract synchronized video frames and IMU data from INSV files Implement Visual-Inertial SLAM/Structure-from-Motion for precise pose estimation Generate a metrically scaled pose file (timestamp, position, quaternion) Produce aligned sparse and dense 3D point clouds in a common coordinate frame Automate the complete workflow for one-click processing after each site visit Deliverables: Automated processing pipeline Frame-by-frame camera trajectory (pose file) Sparse and dense point clouds Documentation, deployment guide, and validation workflow I have experience with computer vision, SLAM, 3D reconstruction, sensor fusion, and scalable automation pipelines, ensuring accurate mapping and reliable outputs for construction environments. Ready to discuss your accuracy requirements and begin development. Best regards, Somender Singh

@mundadiya

As a seasoned professional with over 15 years of experience in the IT field, I am confident in my ability to handle every aspect of your ORB-SLAM 360° Point-Cloud Mapping project. My skills in C++, Python, and OpenGL align perfectly with your needs. Over the years, I have completed more than 100 projects, many of which involved developing complex algorithms and working with motion and navigation data. Thus, your project's goal of accurately mapping space through visual footage and onboard sensors is an area I am well-versed in. Moreover, I have a proven track record of delivering projects on time and within budget, no doubt attributed to my strong backend skills (ASP.NET, PHP) which are instrumental for fully automating the processing of raw INSV video files efficiently. Additionally, being detail-oriented and experienced in database management (SQL), I can provide you with a precise walk path pose file recorded frame-by-frame capturing timestamped data on the camera's trajectory through the site.

@pablodefou

Hi! I just saw your project and I think I can help. I'm a 2D and 3D modeler and designer with over 10 years of experience. You can see part of my portfolio on my Freelancer profile.

@metinegearal

Hi there, I am an AI & Robotics Engineer currently serving as the software and otonomy lead for an Autonomous Underwater Vehicle (AUV) project. My daily work focuses precisely on what your project demands: sensor fusion, 3D spatial mapping, and high-level mission logic under strict hardware and environmental constraints. As my understanding because you are tracking a monocular 360-degree camera feed without GPS, visual data alone lacks metric scale. The onboard high-frequency IMU data is the critical anchor required to solve for exact real-world dimensions and trajectory scaling. I can build a fully automated, hands-off pipeline that ingests your raw footage and telemetry, runs the necessary spatial optimization, and outputs a perfectly scaled frame-by-frame pose trajectory alongside both preview-ready and high-density 3D point clouds. I would prefer to discuss the technical details like sensor calibration and distortion compensation in a private chat. After examination and doing some test on the data ı can give more information. Best regards, Metin Ege Aral

@engzahidhasta

Hi, This is exactly the kind of computer vision and 3D reconstruction project I enjoy working on. I have hands-on experience with Python, OpenCV, PyTorch, visual SLAM, sensor fusion, edge AI, and building production-ready vision pipelines. For your workflow, I would build a fully automated pipeline that extracts synchronized video and IMU data from the Insta360 INSV files, performs visual-inertial SLAM to recover an accurately scaled camera trajectory, and generates both sparse and dense point clouds in a common coordinate frame. The system will output a frame-by-frame pose file (timestamp, XYZ, quaternion) together with metrically accurate 3D reconstruction, ready for downstream use. My focus is on robustness, reproducibility, and automation so each new site walkthrough can be processed with minimal effort while maintaining consistent results. I have worked on AI, computer vision, multi-camera systems, and edge deployment projects, and I'm confident I can deliver a reliable solution for this workflow. I'd be happy to discuss the expected accuracy targets and the best SLAM/reconstruction stack for your dataset. Best regards, Zahid Hassan

@MartinusDanteB18

We recently wrapped up a project very similar to this, where we've helped someone achieve the goal they are looking to achieve recently. We've built a solution for spatial documentation and mapping for specific industries similar to what you are looking for. Understanding the need for clean, professional, and automated 3D point-cloud mapping, we offer expertise in developing seamless, user-friendly solutions tailored to your requirements. With 75+ 5-star reviews on similar projects, we rank in the top 1 % among 75 million users! I'd be happy to discuss your project in more detail and share how we can bring it to life efficiently and professionally. Best case, we work together. Worst case, you get free advice that helps you move forward. Regards, Martinus.