EKF IMU GPS Fusion Simulation -- 2

@markoa7

With over 8 years of experience in embedding solutions, I am confident that I can take your EKF IMU GPS Fusion Simulation project to new heights. I have a strong background in firmware development, and through this, I've consistently ensured high-quality work that never fails to meet deadlines. Moreover, my proficiency in MATLAB/Simulink S-Functions caters perfectly to your need for the EKF design improvement. I can enhance your existing MATLAB-based EKF for IPG Carmaker integration while simultaneously making it portable for future use with CARLA. Detail-oriented analysis is one of my strengths, fitting perfectly with the simulation requirement of logged outputs matching ground-truth within tolerances and providing comprehensive reports. My passion lies in utilizing my skills to provide efficient and reliable solutions. For your EKF IMU GPS Fusion Simulation, I vow to deliver a filter that provides precise position & velocity estimates, full orientation measurements as well as live sensor noise/sw Within budgetary guidelines but without compromising on quality or altering performance or deadlines.I am looking forward to contributing to your project. Thank you for considering me.

@mobimubasir

Hello. I read your requirement i will do that. Please come on chat we will discuss more about this. I will waiting your reply

@Sidrairfan078

Hi, I understand the critical nature of fusing IMU and GPS data for reliable navigation in an autonomous vehicle environment. With solid experience in developing Extended Kalman Filters, particularly in MATLAB, I am well-equipped to enhance your existing EKF implementation. My background encompasses integrating filters with vehicle simulators like IPG Carmaker, ensuring real-time performance while maintaining accuracy. I will refine the filter to provide accurate position, velocity, and orientation estimates, even in challenging scenarios with sensor noise and GPS dropouts. Leveraging your supplied data and formats, I can ensure seamless integration and high fidelity in simulations. As a next step, I propose a timeline of X days to deliver the improved EKF code, functionality, and documentation you require.

@toriquldev123

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@brayanstiven5

Hi Uchenna O.. I am very excited with your project because I have completed similar project recently. The skills required for your project are my main specialty.(Simulation, Software Architecture, Mathematics, Algorithm, MATLAB, Electrical Engineering, GPS, C++ Programming, CARLA and Matlab and Mathematica) I can handle this perfectly and have abundent experiences. Please confirm that I am one of the best fits for you and drop me a message for further discussion. Thanks and Best Regards.

@leciffre69

Thanks for sharing your project details! I understand you're looking to improve your existing EKF, integrating raw IMU and GPS data for navigation in an autonomous vehicle 3D simulation. I'll ensure the filter is optimized to compile and run inside IPG Carmaker, while also remaining portable for future CARLA testing. I have prior experience coupling EKFs with vehicle simulators, like integrating sensor fusion algorithms into Carmaker and CARLA (using interfaces such as ROS Bridge and TCP sockets). For example, I worked on a similar project where I fused IMU and GPS data for real-time navigation in a high-fidelity simulation, ensuring that the EKF met strict accuracy requirements (link: [example1]). The core difference with your task is ensuring the filter handles GPS dropouts and noisy sensor data effectively while maintaining real-time performance. To begin, I'll need to review your current EKF code and understand the sensor formats and vehicle model you're using. I’ll also confirm your ground-truth tolerances for accuracy. My goal is to help you achieve reliable, high-performance state estimation in your simulation, and I look forward to getting started!

@SolutionMart

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@billybryan98

Hello Uchenna, I hope you are doing well. I’ve read your EKF fusion project and I’m confident I can port and optimize your MATLAB EKF into a real-time C++ solution that plugs into Carmaker today and stays portable for CARLA. The goal is to deliver global position/velocity, full orientation (roll, pitch, yaw), and live noise statistics with a correct state-space model, while streaming results faster-than-real-time. Plan: port the existing MATLAB model to C++ (or MATLAB S-Function if needed), publish a clean state vector [x,y,z; vx,vy,vz; roll,pitch,yaw; biases] with Jacobians, implement IMU/GPS updates, and expose interfaces via FMI/ROS/TCP as you prefer. I’ll provide the full equations, matrices, and a compact reference implementation. I’ll log RMSE against ground-truth and deliver a short tuning report with sensor error statistics. Deliverables include source code, compiled artifacts, plots, a brief report, and a quick validation plan in Carmaker and CARLA. Please feel free to contact me so we can discuss more details. I am looking forward to the chance of working together. Best regards,

@Zawiya3

With over a decade of experience in algorithm development and software engineering, I believe I'm perfectly suited for your EKF IMU GPS Fusion Simulation project. Having worked extensively with C++, MATLAB, and Simulink, I am well-versed in building, optimizing, and implementing source codes quickly. My proficiency in IPG Carmaker and CARLA aligns perfectly with your need for a porta

@redbrickamerica

Greetings! We are adept in developing Extended Kalman Filters for fusion algorithms, ready to enhance your existing EKF in MATLAB for precise navigation states within an autonomous-vehicle 3D simulation. Our expertise ensures seamless integration with IPG Carmaker and future compatibility with CARLA. Our Services: - Enhanced EKF design to provide accurate position, velocity, orientation, and live sensor statistics. - Custom code development in MATLAB and C++ for real-time streaming and compatibility. - Utilization of high-fidelity simulators like CARLA and IPG Carmaker for 3D simulation accuracy. - Report detailing EKF equations, reproducible matrix definitions, tuning, assumptions, and sensor error statistics. Ready for: Source code optimization, real-time streaming, and comprehensive reports to match your project needs. How can we assist you further?

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@thomasb726

⭐If you award me, your smile shows up.⭐ Hi Uchenna O. Your project really caught my attention — it’s very similar to one I completed recently. The setup feels familiar, with the same kind of challenges, just a few unique details. That’s actually great news, because it means I already know what works and can move fast without trial and error. Most importantly, I have deep experience and hands-on expertise with Software Architecture, Algorithm, Matlab and Mathematica, CARLA, C++ Programming, Electrical Engineering, GPS, MATLAB, Mathematics and Simulation. In my portfolio, you can find a project similar to yours. https://www.freelancer.com/u/thomasb726 If you’re open to it, I’d love to hear more about what you’re building and share a few ideas from my past experience. ❓ Why clients choose me: ✅ Clear, fast, and proactive communication — you’ll never be left guessing where things stand. ✅ I treat your deadlines and reputation like my own — because once we start, they are. ✅ Easy to talk to, quick to respond, and focused on making your job easier. ✅ I always stand by and support the clients I work with, even long after delivery. Many of my clients stay with me long-term — because I show up, deliver, and don’t disappear. If you’re looking for a project executed with precision and quality, let’s chat soon and get started. Best, Tom

@Fareshassan96

As an experience Aerospace & Control Systems Engineer, I am confident in my abilities to deliver the precise, high-performance solution you need for your EKF IMU GPS Fusion Simulation project. My in-depth knowledge of algorithms and electrical engineering combined with my mastery of MATLAB/Simulink, means I can confidently enhance your filter to meet even the most demanding facets of your project such as maintaining stable state estimates under artificial sensor noise and occasional GPS drop-outs. Moreover, I have significant experience using IPG Carmaker for 3D simulation which will play a critical role in ensuring that the source code gets built without errors, runs faster than real time, and plugs perfectly into Carmaker. Additionally due to my familarity with CARLA, my work is inherently portable and future-proofed for your potential tests. I believe this prior experience is key to a rapid kick-start of the project. When undertaking any project, I'm not simply delivering files; rather, I'm providing solutions that work. As a result, my work incorporates problem-solving mindset from inception to completion ensuring that quality engineering does not compromise real-world applicability. Every milestone accomplished is robustly validated for maximal reliability and copiously documented for reproducibility. Trust me with your EKF IMU GPS Fusion Simulation and gain confidence of dependable execution and professional success-oriented approach.

@TheDesignBloke

Hi Uchenna, I am excited about the opportunity to enhance your EKF for IMU and GPS data fusion in the IPG Carmaker environment. With a solid background in developing robust Kalman filters and extensive experience integrating with vehicle simulators like IPG Carmaker and CARLA, I can ensure that your system meets the required specifications while providing accurate navigation states under various conditions. I will refine your existing MATLAB code to enable real-time operation, addressing key functionality such as position, velocity, and orientation estimates, along with logging necessary statistics as per your specifications. I aim to deliver a build-ready source code within a week, ensuring seamless integration and performance. What specific interfaces have you found most effective in your previous projects?

@rogelitoc

Hello, how are you? I've reviewed the description carefully and I am sure I can deliver this task on time because I have rich experience in developing Extended Kalman Filters for autonomous vehicles. I understand that you need an enhanced EKF that fuses IMU and GPS data for reliable navigation states within the IPG Carmaker and CARLA environments. I have hands-on experience in MATLAB and C++, and I've successfully implemented similar projects before. Here is my approach as follows: - I will improve your existing EKF to ensure it compiles and streams results in real-time within Carmaker. - I'll ensure the filter provides accurate position, velocity, and orientation estimates, even under artificial noise and GPS drop-outs, by conducting thorough testing in a simple on-road scenario. - I will document the tuning process, assumptions made, and provide a detailed report on the sensor error statistics, ensuring all logged outputs meet the specified tolerances. I am ready to start immediately and can deliver the result fast. I'd love to discuss in more detail and provide insights from my previous work with similar vehicle simulators. Let's make this project a success! Best Regards.

@markupdudes

Hi, I am confident that I can significantly enhance your existing Extended Kalman Filter for IMU and GPS data fusion within the IPG Carmaker environment. With substantial experience in EKF implementation and integration with vehicle simulators such as Carmaker and CARLA, I will improve your MATLAB-based EKF to deliver real-time position, velocity, and orientation estimates with robust handling of sensor noise and GPS drop-outs. I am proficient in C++ and MATLAB/Simulink and familiar with interfaces like FMI and ROS Bridge, ensuring the filter will compile, run efficiently, and remain portable. My approach will also include detailed documentation of the EKF state-space model, error statistics, and sensor noise analysis, aligned with your performance tolerances. I propose starting with a thorough review of your existing files and IPG Carmaker setup, aiming to deliver a stable EKF within 10 days. Could you please share more details about the GPS and IMU message formats and any specific requirements for interfacing the filter with Carmaker? Best regards,

@CaliforniaVibe

Hello, I am confident in enhancing your Extended Kalman Filter for reliable navigation states in your 3D simulation. I have experience integrating EKFs with IPG Carmaker and can ensure real-time performance and portability to CARLA. Using the provided files, I will deliver precise position, velocity, and orientation estimates, maintaining robust state estimates amidst noise and GPS drop-outs. Let's discuss your specific requirements further and confirm the next steps. Could you provide more details about the specific tuning parameters you're currently using in your EKF implementation?

@hassaan7766

Proposal generation failed.

@oleksandrf3

hi, sounds like a fantastic applied project in autonomous navigation. I’ve previously deployed EKF-based sensor fusion modules inside high-fidelity simulation environments such as IPG Carmaker and CARLA, mainly interfacing via TCP sockets and the Carmaker API for real-time data streaming and control. Your workflow and target requirements are clear, and improvement of an existing MATLAB EKF can maximize both modularity and performance. Robust handling of unstable sensor signals and generating live statistical feedback fits well within my past work, including outlier rejection and adaptive noise tuning when GPS is intermittently lost or IMU drift arises. Reproducibility is never an afterthought—I’ll provide clean state-space equations and annotated code, so every assumption is traceable. The filter will be carefully profiled to run faster than real time and ensure minimal latency during tight urban maneuvers. Ready to review your files and align early on integration specifics—let’s schedule a quick kickoff to get started.