C++ Sensor Fusion Developer

@Mahihassi

As an electrical engineer with a Master's in Embedded Systems, I possess the perfect combination of skills and experience to excel in this C++ Sensor Fusion Developer project. Not only do I command strong proficiency in C++, but I also have a wealth of knowledge in sensor fusion, navigation systems, and Linux development environments—directly aligning with your requirements. My extensive background in firmware development and PCB design equip me to optimize code for Linux platforms efficiently. Drawing from projects that have spanned my career—such as developing embedded system solutions incorporating Lidar, Camera sensors, navigation functions - I am capable of turning your concept into a market-ready product. Furthermore, my deep understanding of microcontrollers like STM32 and ESP32 (and many more) would be instrumental in integrating Lidar and camera data seamlessly. I offer more than just coding expertise; I provide complete IoT product engineering solutions from system architecture to Web/Mobile App Development. This holistic approach to product development assures you receive not just optimized code but a well-integrated product. Let's work together to make your navigation system accurate and efficient!

@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

@shadabkhan92

Done similar tasks, lets discuss Our pipeline combines time-synchronized point-cloud data with high-resolution vision to produce robust localization, obstacle detection, and path planning suitable for indoor robots, AGVs, last-mile delivery platforms, and driver-assistance systems. The stack is modular, hardware-agnostic, and tuned for low-latency operation on embedded Linux targets (NVIDIA Jetson, Raspberry Pi CM4, Intel x86 industrial PCs). Core Capabilities • Multi-Sensor Ingestion: Hardware-agnostic ingestion from Velodyne, Ouster, Livox, RPLIDAR, and Hesai units alongside USB3/GigE/MIPI-CSI cameras. • Time Synchronization: Sub-millisecond hardware-triggered or PTP-synchronized capture so LiDAR sweeps and camera frames share a common timeline. • Calibration Toolkit: Extrinsic (LiDAR↔camera) and intrinsic calibration using checkerboard, ArUco, and target-less methods; calibration drift detection at runtime. • Sensor Fusion: Early-fusion (projected depth) and late-fusion (object-level) pipelines for redundancy and graceful degradation if one sensor fails. • SLAM & Localization: LOAM / LIO-SAM-style LiDAR-inertial odometry combined with visual-inertial cues for centimeter-level pose estimation. • Perception: Real-time 3D obstacle detection, semantic segmentation, and free-space estimation accelerated on CUDA / TensorRT / OpenVINO. • Path Planning: Costmap generation, global (A*, Hybrid-A*) and local (TEB, MPC) planners integrated with Nav2 / ROS 2 Humble.

@hien223234

✅Hi, Client. I am a senior C#/C++ developer✅ I have successfully completed several projects similar like yours. I am interested in your project. I would like to work for you in the long term. Please send a message to discuss this project. I look forward to hearing from you. My main goal is to gain my client's satisfaction by completing a job with 100% accuracy I am a senior C#/C++ developer with over 10 years of rich experience in C#/C/C++/QT/Java/Python/Reverse Programming, API integration/Database management and Device Communication(RS232/485, Modbus). So, I can complete it within your timeline. Best regards! From Hien ...

@ducthodg

It's great to meet you and have the chance to pitch for this project. Though I must first acknowledge my core focus has been on building Expert Advisors and Indicators for trading software. Nevertheless, while there is a significant difference in the two fields, I believe my decade of experience writing complex algorithms in C++ can be transferable to your navigation project. My engineering background equipped me with a strong foundation in mathematics, algorithm design and optimization–all paramount aspects for sensor fusion. Using these skills, I created trading algorithms that demonstrate both precise decision making as well as efficient computation – similar to what you're looking for with your navigation system.

@quan9824

Hi, I can help you integrate LiDAR + camera for robust navigation on Linux with a clean, high-performance C++ stack. 1. Data ingestion & sync Drivers/SDKs wrapped in ROS2 or standalone (your preference) Hardware/soft time sync (PTP or message_filters), frame alignment via calibrated extrinsics 2. Calibration Intrinsics (camera) + LiDAR–camera extrinsics (Kalibr / hand–eye) Validation with reprojection error checks 3. Fusion pipeline Perception: LiDAR ground removal + clustering (PCL), camera detection (YOLOv8/ONNX) Fusion: project LiDAR → image (or vice versa) to associate 3D points with 2D detections State estimation: EKF/UKF (robot_localization) or factor graph (GTSAM) combining IMU/odom + LiDAR/camera Outputs: fused obstacles, tracked objects, and a consistent pose for navigation 4. Navigation interface Publish costmaps/obstacles to Nav2 or your planner Latency-aware pipelines for real-time updates Optimization (Linux): Modern C++17/20, zero-copy where possible, lock-free queues Multithreading (TBB/std::async), SIMD (Eigen), GPU via CUDA/OpenCV if available Profiling (perf, valgrind, VTune) and deterministic builds (CMake) Relevant work: LiDAR-camera fusion for obstacle detection + tracking (PCL + OpenCV, ROS2) EKF-based multi-sensor localization with <5 cm drift over 100 m indoor runs Real-time pipelines achieving 20–30 Hz on Intel NUC Happy to review your sensors/models and tailor the pipeline ?

@SmartCodeDev

Hello, I can develop and optimize your Lidar and camera integration in C++ for accurate navigation on Linux systems. I have experience with sensor fusion, real-time data processing, and robotics/navigation pipelines. I will implement fusion using approaches like EKF or complementary filtering depending on your setup and accuracy needs. Lidar and camera streams will be synchronized and calibrated to ensure reliable spatial alignment. The code will be optimized for Linux with efficient memory usage and low latency processing. I will structure the system modularly for easy scaling and testing. I can also assist with ROS integration if required. You will receive clean, well documented code and testing support. I can share relevant work examples on request. Ready to discuss your sensor specs and get started.

@Visharaa2024

As a seasoned software architect and developer with over 8 years of experience, I am confident that I'd be a perfect match for your Lidar and camera sensor fusion project. My diverse range of skills, including my proficiency in C++, experience with sensor fusion, and strong background in navigation systems make me the ideal candidate for this project. I have extensive experience implementing high-performing, robust solutions that deliver maximum navigation accuracy. In fact, I've successfully completed over 100 projects with 100% satisfaction for clients by focusing on providing high-quality work within tight deadlines, which match perfectly with your project's objectives. Moreover, I have also specialized in Linux development environments and optimization processes, so you can be assured of an optimized code suitable for your specific requirements. Additionally, my skills extend beyond C++ and navigation systems. My broad knowledge in Python (Django), PHP5, Wordpress, HTML5 allow for smarter integration possibilities. This means your project won't just achieve the desired output but will also be scalable and future-proofed. Let’s talk further about how we can transform your requirements into a seamless solution. Looking forward to discussing your project details.

@nutankumarftp

With my expert skills in C++ programming and experience in data processing, I believe I am the ideal candidate to help you accomplish your sensor fusion project. My profound knowledge of C++ and its optimization strategies will ensure that I design and develop high-quality codes for integrating Lidar and camera sensors. Over the years, I've honed my skills in handling various types of data, enabling me to extract relevant information efficiently. Moreover, as a developer with a strong background in navigation systems, I truly understand your necessity to pinpoint accuracy when it comes to navigation purposes. My experience with sensor fusion has equipped me with the necessary tools to achieve this. In addition, my familiarity with Linux development environments assures seamless compatibility between the optimized code and the platform on which it is being used. Lastly, my approach to any project is rooted in understanding your unique requirements perfectly. I delve deep into clients' needs, ensure minimal back-and-forth communication, always maintaining consistent communication channels, and deliver high-quality work on time without compromise

@Ryan15222

As an engineer with a comprehensive background across mechanical design, electronics, and software development, I am well-equipped to meet your requirements for a C++ Sensor Fusion Developer. My extensive experience in blending these skills has given me the capacity to design, prototype, and implement projects like yours from start to finish. In the realm of sensor fusion, I have specialized experience honed through projects that required integrating various data streams for navigation purposes. I'm proficient with Lidar and camera sensor data fusion and my approach prioritizes navigation accuracy. Furthermore, my strong C++ coding and familiarity with Linux platform offers the optimization potential you're looking for. But what sets me apart is not just the skills themselves but how I employ them within larger contexts. Having worked on projects ranging from industrial automation to custom machinery, I have first-hand experience integrating multi-disciplinary elements seamlessly. My ability to take ownership of a project from end-to-end while reducing complexity is inval

@ttobio69

Hi there, I read your requirements carefully, and I can develop optimized C++ sensor fusion logic for integrating LiDAR and camera data on Linux for navigation-focused applications. I will design the fusion pipeline, synchronize LiDAR/camera inputs, process object/scene data, improve navigation accuracy, and optimize the code for stable Linux performance. I can also structure the system cleanly so it is maintainable, testable, and ready for future sensor or algorithm upgrades. I have experience with C++, Linux development, embedded systems, computer vision, navigation logic, and performance-focused software architecture. Cost: ₹60,000 || Timeline: 1-2 weeks Payment and timeline details can be discussed further to align with your expectations. Best regards,

@khrystynad4

Hello, please see my profile —, I have strong experience in sensor fusion systems and perception pipelines. I understand the goal is to integrate LiDAR and camera data for accurate navigation, with efficient C++ implementation optimized for Linux. I can help with: * LiDAR + camera data integration and synchronization * calibration handling (intrinsic/extrinsic) * sensor fusion algorithms (e.g., projection-based fusion, EKF/UKF where needed) * object perception / environment understanding * improving navigation accuracy through fused data * performance optimization for Linux (multi-threading, memory, real-time considerations) My approach would be: * review sensor specs and data formats * align coordinate frames and calibration * implement fusion pipeline (early or late fusion depending on use case) * test with recorded datasets or live streams * optimize for latency and CPU usage * provide clean, modular C++ code with documentation My background includes C++, system-level programming, computer vision, and sensor fusion pipelines, which are critical for building reliable navigation systems. Estimated timeline: 1–2 weeks Happy to review your sensors and define the best fusion strategy.

@Ebendewater

I focus on delivering work that’s done properly, clear, polished, and aligned with exactly what you need. As a new freelancer I’m focused on building my reputation, so I offer competitive rates while putting in extra effort to ensure high quality results, reliable communication, and work I stand behind. I also offer 6 months free maintenance and unlimited revisions. Drawing on my strong background in software architecture and data processing, I am well-equipped to handle the challenges of your C++ Sensor Fusion project. With solid experience in sensor integration and a deep understanding of navigation systems, I have the knowledge and skills to optimize your code for Linux platforms. My approach to this project will be anchored in accuracy. I will develop robust sensor fusion algorithms that carefully integrate lidar and camera data to deliver precise navigation solutions. Having worked extensively with C++, I bring a fluency with the language that allows me to write efficient and effective code, optimized for Linux environments.

@PetrusLubbe

‼️ONLY PAY WHEN YOU'RE 100% HAPPY‼️ Integrating Lidar and camera data to enhance navigation accuracy is critical, and optimizing for Linux ensures real-time performance where it counts. My approach focuses on developing efficient sensor fusion algorithms that merge data streams seamlessly, prioritizing precise navigation outcomes while maintaining lean, Linux-optimized C++ code. While I’m new to Freelancer, I’ve crafted similar navigation solutions off-platform, delivering improved accuracy and system responsiveness. Let’s chat! Worst case, you get a free consultation and real insight. Regards Pietie Lubbe