Master’s in Calibration & Auto Engineering
Online master's programme of 1,900 hours in sensor calibration and auto-calibration for automated vehicles, structured in 12 modules covering camera geometry, intrinsic, extrinsic and temporal calibration, production-line and aftermarket calibration, online auto-calibration, IMU/GNSS calibration and functional safety, with an assigned technical tutor.
Master’s in Calibration & Auto Engineering — studying from Singapore
Singapore is a leading testbed for autonomous vehicles, with public road trials of driverless shuttles and robotaxis in districts such as one-north and Punggol. The Land Transport Authority coordinates the regulatory framework for autonomous mobility, while the Centre for Advanced Robotics at Nanyang Technological University and the Singapore Autonomous Vehicle initiatives drive research. Engineers work on perception, sensor fusion, vehicle software and simulation. Employers include automotive tier-one suppliers, technology firms and research institutes active across the region.
Fees for Singapore: S$14,200 (Singapore dollar), with instalments and employer sponsorship available.
Relevant bodies in Singapore
Typical roles
Questions from Singapore
Which Singapore authorities govern autonomous vehicle testing, and does SEIUM's qualification help with that?
Singapore's autonomous vehicle trials are regulated by the Land Transport Authority (LTA), which issues approvals for testing on public roads. Engineers may also register with the Professional Engineers Board (PEB). SEIUM's qualifications are private qualifications, not state degrees, and not accredited by any national body. Whether they are recognised for these roles is for employers and the relevant authorities to decide.
Which Singapore employers hire for ADAS and software-defined vehicle work?
Opportunities exist with autonomous vehicle trial operators, mobility companies, automotive electronics suppliers, and software and systems firms serving the vehicle industry. Singapore's smart mobility push supports these roles. Employers generally value demonstrable software skills, such as projects in embedded code, simulation or safety validation. Your final project can show this, but hiring decisions rest with each employer.
Is this workable part-time from Singapore, and can it be funded by an employer?
Yes, the programme is 100% online and taught in English, so you can study from home in Singapore without any student visa. Expect a heavy load: a master's is 1,900 hours, a postgraduate diploma 800 hours and a specialist course 300 hours. Fees are payable in instalments, and employer sponsorship is possible, though approval depends on your company's training policy.
Take the controls.
Run a real engineering trade-off from this field. Move the sliders, watch the model react in real time and beat the challenge.
What you will be able to do
Apply geometric models of cameras and sensors.
Perform intrinsic camera calibration.
Calibrate multi-sensor systems extrinsically.
Synchronise heterogeneous sensors in time.
Design calibration processes for production and the aftermarket.
Develop online auto-calibration algorithms.
Carry out a complete calibration and auto-calibration project.
Who it's for
- Sensor calibration engineers.
- Perception engineers who need reliable multi-sensor calibration.
- ADAS manufacturing process engineers.
- ADAS aftermarket technicians.
- Navigation engineers working with IMU and GNSS.
- Quality engineers in automotive production.
- Engineering or science graduates looking to enter the automotive sector.
What you'll work with
- ISO 26262 (functional safety of road vehicles)
- ISO 21448 (safety of the intended functionality, SOTIF)
- IEEE 802.1AS (time synchronisation, gPTP)
- ISO 23150 (sensor-to-fusion data interfaces)
- ISO 8855 (vehicle dynamics coordinate systems and vocabulary)
- SAE J3016 (levels of driving automation)
- IATF 16949 (automotive quality management)
- ISO 9001 (quality management systems)
- OpenCV
- Kalibr
- MATLAB Camera Calibrator
- ROS 2
- Autoware
12 modules · 1900 h
1.1Importance of calibration in perception1.2Intrinsic and extrinsic calibration1.3Temporal calibration between sensors1.4Sources of miscalibration1.5Impact of errors on fusion1.6Factory and workshop calibration1.7In-service auto-calibration1.8Accuracy requirements1.9Chain of coordinate systems1.10Case study: the effect of a 0.5° error
2.1Pinhole camera model2.2Radial and tangential distortion2.3Fisheye and omnidirectional models2.4Projection matrices2.5Rigid transformations in 3D2.6Representation of rotations2.7Epipolar geometry and the fundamental matrix2.8Homographies between planes2.9Triangulation of 3D points2.10Lab: camera model in OpenCV
3.1Zhang's method3.2Checkerboard and ChArUco patterns3.3Optimisation with Levenberg-Marquardt3.4Reprojection error3.5Calibration of fisheye cameras3.6Calibration of stereo cameras3.7Rectification of stereo pairs3.8Thermal stability of parameters3.9Calibration tools3.10Practical: calibration with Kalibr
4.1Camera-LiDAR calibration4.2Radar-camera calibration4.3Calibration between multiple LiDARs4.4Calibration with an IMU4.5Target-based calibration4.6Targetless calibration4.7Hand-eye calibration AX=XB4.8Joint optimisation of extrinsics4.9Validation of extrinsics4.10Workshop: camera-LiDAR calibration
5.1Hardware synchronisation5.2PTP protocol IEEE 802.1AS5.3GNSS timestamps5.4Time-offset estimation5.5Rolling shutter and its correction5.6Motion compensation5.7Processing latencies5.8Synchronisation in ROS 25.9Diagnosis of timing errors5.10Lab: camera-IMU time-offset estimation
6.1EOL calibration stations6.2Wheel and vehicle alignment6.3Front radar calibration6.4Windscreen camera calibration6.5Cycle times6.6Calibration traceability6.7Statistical process control6.8Tolerance management6.9Integration with the MES6.10Practical: design of an EOL station
7.1Recalibration after windscreen replacement7.2Static calibration with targets7.3Dynamic calibration while driving7.4ADAS workshop equipment7.5Manufacturer requirements7.6Documentation and liability7.7Technician training7.8Common workshop errors7.9Roadworthiness inspection regulations7.10Case study: front camera recalibration
8.1Vanishing-point estimation8.2Calibration with road markings8.3Auto-calibration from odometry8.4Motion-based calibration8.5Calibration with point clouds8.6Online estimation filters8.7Miscalibration detection8.8Continuous parameter correction8.9Safety of auto-calibration8.10Workshop: pitch auto-calibration using lanes
9.1Calibration with neural networks9.2Regression of extrinsics9.3Self-supervised calibration with geometry9.4Detection of calibration errors9.5Uncertainty estimation9.6Calibration datasets9.7Generalisation across vehicles9.8Real-time deployment9.9Comparison with classical methods9.10Lab: miscalibration detection network
10.1IMU error models10.2Bias and scale calibration10.3Allan variance10.4GNSS lever arms10.5Wheel odometry calibration10.6IMU-to-vehicle alignment10.7GNSS antenna calibration10.8Joint inertial calibration10.9Validation with reference systems10.10Practical: Allan variance analysis
11.1Calibration requirements in ISO 2626211.2SOTIF and calibration errors11.3Calibration monitoring11.4Degraded states due to miscalibration11.5Parameter management11.6Parameter cybersecurity11.7Process auditing11.8Quality indicators11.9Continuous process improvement11.10Case study: process FMEA for calibration
12.1Definition of the sensor suite12.2Design of the calibration process12.3Execution of intrinsic and extrinsic calibration12.4Temporal synchronisation of sensors12.5Auto-calibration algorithm12.6Experimental validation in the vehicle12.7Safety analysis12.8Conclusions and future work12.9Master's Thesis report12.10Master's Thesis: defence before a panel
How you'll learn
The programme is 100% online on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. There are no fixed timetables: you progress at your own pace within the intake, so you can combine it with your job.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is OpenCV, Kalibr, MATLAB Camera Calibrator, ROS 2 and Autoware, in free, academic or evaluation versions. Testing is studied through real procedures for target-based camera-LiDAR calibration, camera recalibration after windscreen replacement and on-road validation of auto-calibration. Assessment is continuous by module, plus the final Master's Thesis.
Standards covered: ISO 26262, ISO 21448, IEEE 802.1AS, ISO 23150, ISO 8855, SAE J3016, IATF 16949, ISO 9001.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Where this takes you
Requirements
- University degree in engineering, science or architecture, or equivalent demonstrable professional experience.
- Internet connection and a computer capable of running the programme's software.
- English sufficient to read technical standards.
Ready to start?
Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.
Frequently asked questions
The programme totals 1,900 hours over 12–14 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.
You work with OpenCV, Kalibr, MATLAB Camera Calibrator, ROS 2 and Autoware, using free, academic or evaluation versions. Your tutor indicates the free alternative wherever one exists.
A SEIUM Institute diploma, awarded on passing the continuous assessment and the Master's Thesis. It is SEIUM's own qualification, not an official state degree; its recognition depends on the programme completed and the regulations of each country.
Yes. Modules passed in a course or postgraduate diploma in the same area are recognised in the higher programme. Ask about the recognition policy when you enrol.
A university degree in engineering, science or architecture (or equivalent professional experience), a computer able to run the software, and English sufficient to read technical standards.
Start dates are set by SEIUM's faculty for each intake. Our admissions team will confirm the next available date when you apply.
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