Sensor Fusion Experts in Munich
matched fast from over 15,000 CVs with AIHire experts who combine camera, radar, lidar, IMU and GNSS data for reliable tracking, mapping and scene understanding. FRATCH matches you quickly with vetted, available freelancers whose skills fit your technical and project requirements.
Meet FRATCH Experts in Munich, who have recently used Sensor Fusion
Madhava N.
Last position:
Function Developer ADAS at Continental Automotive GmbH through Ferchau GmbH
- Project: Sensor fusion application for traffic participant detection
- Software frameworks: C++ (11,14), Python, Visual Studio, MTS, Qt, GitHub, Jenkins, JIRA, Confluence, Conan, CAN, RTOS, DOORS, CMake
- Refactored and adapted sensor fusion algorithms by processing sensor data (camera and radar) for ACC and EBA as per requirements
- Handled system test issue reports in JIRA
- Tuned Kalman filters and introduced new features to enhance tracking
- Adapted architecture, detailed design (UML) and simulation tool (Qt)
- Conducted unit testing, code reviews and static code analysis in compliance with MISRA standards
- Conducted regression testing to validate software, involved in software releases (CI/CD), KPI evaluation by testing NCAP scenarios
- Flashed ADAS software to target vehicles, used UDS protocol and OBD-II tools for diagnostics and verification
Tobias B.
Last position:
Lead XR Project at BMW Group
- Showcasing the world's first fully immersive AR glasses experience in a moving car at CES 2024.
- Speaker about augmented reality at international conferences (e.g. the AR Ride Concept @ Unite 2024).
- Lead a 12-person interdisciplinary software team developing Android head-unit integrations, navigation & ADAS UI, and embedded software.
- Define technical direction, drive cross-domain architecture and integration, and mentor engineers across Android, UI/UX and embedded stacks.
- Oversee a small fleet of test vehicles for validation, tests, and data collection.
Vasco A.
Last position:
AI Research Intern – Generative AI at BMW AG
- Designed and implemented multi-modal entertainment toolchains that combine passenger input, vehicle context, large-language models (text-to-text and speech-to-speech) and image generation models to deliver more interactive and immersive in-car experiences.
- Built and orchestrated tools for LLM-based agents, covering session management, background task execution, dynamic user interactions and persistent application state.
- Investigated multi-agent orchestration frameworks for in-car environments, evaluating communication protocols and architectural strategies for coordinated and reliable agent behavior.
Yimeng W.
Last position:
R&D Software Engineer at Advantest
- Development and maintenance of hardware drivers in C++
- Conducting unit and integration tests to ensure code quality
- Debugging and fixing issues with the hardware team and FPGA team
- Defining and developing software concepts and coordinating with the software architect
- Expanding test automation to improve efficiency
- Research and development of algorithms to improve existing codebases (runtime, memory usage, accuracy)
Daniel C.
Last position:
Founder & Managing Director at BotCraft GmbH
- Building the company with a focus on connectivity for IIoT and Industry 4.0, iRPA/process automation, advanced robotics and smart systems, sensors and services
- Project management and software architecture for IoT gateway development (since 2020) with protocol translation, IT/OT convergence and GRC
- Developing RPA bots for automating and monitoring industrial processes with an agent-based AI approach (since 2020)
- Implementing unsupervised clustering and anomaly detection for time series data in big data streaming pipelines (since 2021)
- Introducing a Docker-based release train for OTA updates with DevSecOps and CI/CD (since 2018)
Ehsan Z.
Last position:
Freelance Robotics Software Engineer at Independent Contractor
- Developed and deployed custom ROS2 nodes for real-time LiDAR-IMU fusion using R3Live++ on ARM64 hardware (Docker, CMake)
- Configured IMU, camera, and LiDAR drivers for proper data timing and formats to enable real-time 3D mapping with R3Live
- Built complete simulation stack for quadrotor UAVs: Ardupilot SITL + ROS2/DDS + Gazebo Harmonic + YOLOv8 detection
Adithya B.
Last position:
Edge AI Software Engineer at Neura Robotics GmbH
- Deployed and optimized Vision-Language-Action (VLA) and diffusion policy models on NVIDIA Jetson Orin and Jetson Thor, meeting real-time inference latency targets for humanoid robot control loops.
- Built TensorRT engine pipelines (PyTorch → ONNX → TensorRT) with INT8/FP8 post-training quantization, calibration dataset design, and quantization-aware validation, reducing inference memory footprint by over 3× on Jetson without accuracy regression.
- Developed custom CUDA C++ plugins and CUDA Graphs for latency-deterministic, real-time policy execution – meeting hard runtime and memory constraints on embedded GPU targets.
- Developed an inference engine for VLA models on top of llama.cpp bringing different VLA policies under single runtime, packaging each as a single self-contained GGUF that needs no Python or PyTorch.
- Profiled and tuned GPU execution using NVIDIA Nsight Systems and Nsight Compute, identifying CUDA kernel bottlenecks, memory bandwidth saturation, and SM occupancy issues across Jetson Orin and Thor compute profiles for cross-layer performance optimization.
Discover over 15,000 top freelancers
Statistics of experts using Sensor Fusion
Aggregated from the professional profiles of matched freelancers.
Experience
12 years
Position duration
2.5 years
Positions per freelancer
5
Top business areas
Information Technology, Product Development, Research and Development
Top industries
Automotive, Information Technology, Manufacturing
Certification focus areas
Information Technology, Logistics, Quality Assurance
Bachelor's degree or higher
100%
Master's degree or higher
100%
Doctorate
14%
Certifications per freelancer
1
Most common languages
English, German, Spanish
Speak two or more languages
100%
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Munich are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging within that range.
Average rates of experts in Munich using Sensor Fusion
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Sensor Fusion experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Automotive (86%)
- Information Technology (57%)
- Manufacturing (57%)
- Education (43%)
- Healthcare (43%)
- Aerospace and Defense (14%)
- Biotechnology (14%)
- Chemical (14%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Sensor Fusion Does
Sensor fusion combines measurements from different sensors to create a more complete and reliable view of the environment or system state. A specialist aligns data in time and space, models uncertainty and produces estimates that remain useful when one sensor is noisy, blocked or unavailable. The result can support perception, localization, tracking or control.
Where It Is Used
Sensor fusion is central to systems that must understand motion, position and surroundings in real time.
- Advanced driver assistance and autonomous vehicles
- Robotics, drones and warehouse automation
- Industrial inspection and machine monitoring
- Navigation, mapping and mobile devices
- Aerospace, defense and maritime systems
Sensors And Tooling
Projects may combine cameras, radar, lidar, ultrasonic sensors, inertial measurement units, GNSS and wheel odometry. Common work includes calibration, coordinate transforms, timestamp alignment and data association. Specialists often use ROS or ROS 2, C++, Python, MATLAB, Simulink, OpenCV and point-cloud libraries, while embedded targets require efficient real-time implementations.
When Companies Need Support
Companies bring in freelance expertise when a proof of concept must become a dependable product, when field data exposes weaknesses or when an existing pipeline needs better accuracy and latency. In Munich, this can be especially relevant to automotive, robotics, mobility and industrial technology teams. Remote work is often practical for algorithm development; sensor installation, testing and vehicle or lab trials may require on-site collaboration.
Strong Specialist Skills
A capable professional understands both the mathematics and the physical behavior of sensors. Look for experience with probabilistic estimation, Kalman filters, Bayesian methods, SLAM, multi-object tracking and sensor calibration. Strong specialists also define measurable validation scenarios, inspect raw data, handle failure modes and explain trade-offs between accuracy, compute load and robustness.
Deliverables And Quality
Typical deliverables include a fusion architecture, calibrated sensor setup, reusable algorithms, simulation models, test datasets and performance reports. Quality is shown through repeatable results across weather, lighting, motion and sensor dropouts rather than through a single demonstration. Before engaging a freelancer, review relevant deployments, ask how they validate uncertainty and confirm that their code, documentation and interfaces fit the existing stack.
Frequently asked questions
The facts hiring teams ask for most often when it comes to Sensor Fusion.
Sensor Fusion is used to combine data from multiple sensors so a system can estimate position, motion or objects more reliably. It supports applications such as autonomous driving, robotics, navigation, industrial monitoring and mapping.
Sensor Fusion can compensate for weaknesses in individual sensors by combining complementary measurements. A camera may provide rich visual detail, radar can measure range and velocity, and lidar can add accurate geometry; the right combination depends on cost, environment, latency and safety needs.
A strong Sensor Fusion specialist often also works with calibration, coordinate frames, time synchronization, SLAM, tracking and embedded computing. Experience with ROS 2, C++, Python, MATLAB, OpenCV or point-cloud processing is useful when these tools match the project stack.
Sensor Fusion work can range from a focused prototype to a safety-critical production system. The required depth depends on sensor complexity, real-time constraints, available data and validation demands, so companies should assess relevant delivery experience rather than rely on a generic seniority label.
Sensor Fusion algorithm design, simulation, data analysis and code reviews can often be handled remotely. On-site work may still be needed for sensor installation, calibration, vehicle tests, robotics trials or access to specialized laboratory equipment.
Assess Sensor Fusion quality through repeatable tests across different environments, sensor failures and motion conditions. Ask to see how the specialist measures accuracy, latency, uncertainty and false detections, and how results are documented for later maintenance.
A Sensor Fusion specialist usually needs synchronized sensor recordings, calibration parameters, coordinate-frame definitions and representative ground truth. System constraints, target hardware and failure scenarios are equally important because they shape the architecture and validation plan.
Sensor Fusion is relevant to automotive and mobility programs, robotics, industrial automation, aerospace and connected devices. Teams working across German and international locations should also clarify language expectations, access to test sites and whether collaboration includes on-site trials.
The average hourly rate of freelancers in Munich, Germany who have used Sensor Fusion in their recent projects is 84 €, which corresponds to a daily rate of about 670 € based on an 8-hour working day.
Of the freelancers in Munich, Germany who have used Sensor Fusion in their recent projects, 100% hold at least a Bachelor's degree, 100% hold at least a Master's degree, and 14% hold a doctorate.
On average, freelancers in Munich, Germany who have used Sensor Fusion in their recent projects have 12 years of professional experience, with a single engagement typically lasting around 2.5 years.
The most common languages among freelancers in Munich, Germany who have used Sensor Fusion in their recent projects are English (100%), German (86%), and Spanish (14%).
The most common industries among freelancers in Munich, Germany who have used Sensor Fusion in their recent projects are Automotive (86%), Information Technology (57%), and Manufacturing (57%).
The most common business areas among freelancers in Munich, Germany who have used Sensor Fusion in their recent projects are Information Technology (100%), Product Development (100%), and Research and Development (100%).
Main locations of FRATCH Experts, who have recently used Sensor Fusion
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
Countries:
Berlin Hamburg 
Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
Would you rather directly get in touch?
We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
