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I will design multi sensor fusion tracking systems with kalman and bayesian algorithms
pcb design, embedded system and firmware development
I’m Praiseoreoluwa, a professional PCB designer and embedded systems developer. I focus on schematic design, circuit development, and firmware engineering to create reliable, high performance electron...
About this Gig
Hello there!
looking for a tracking and estimation system for robotics, autonomous vehicles, drones, radar, IoT, or defense applications?
You're in the right place.
I will design and develop a high performance multi-sensor fusion tracking system using advanced estimation and probabilistic algorithms such as:
- Kalman Filter (KF)
- Extended Kalman Filter (EKF)
- Unscented Kalman Filter (UKF)
- Particle Filter
- Bayesian Inference Algorithms
- Sensor Data Fusion
- Target Tracking & State Estimation
My solutions are built to improve tracking accuracy, reduce sensor noise, and provide reliable real time estimation from multiple sensors including:
- LiDAR
- Radar
- GPS
- IMU
- Camera/Vision Sensors
- Ultrasonic Sensors
- IoT Sensor Networks
What This Gig Involves:
- Multi sensor data fusion architecture
- Tracking algorithm development
- State estimation and prediction
- Noise filtering and uncertainty modeling
- MATLAB / Python / Simulink implementation
- Real time tracking system design
What I Will Provide:
- Complete source code
- Algorithm implementation
- Simulation results
- Performance analysis
- Technical documentation
Contact me now before placing your order so we can discuss your project in detail.
FAQ
Which programming languages do you use?
I mainly use Python, MATLAB, Simulink, and C++ depending on project requirements.
Can you work with real sensor data?
Yes, I can integrate and process data from LiDAR, Radar, GPS, IMU, cameras, and IoT sensors.
Do you provide documentation?
Yes, all packages include clean documentation and code explanation.
Can you build real-time systems?
Yes, I can design optimized tracking systems suitable for real-time applications.
