Postgraduate Diploma in On-board Calibration and Self-Calibration (Intrinsic/Extrinsic)
Online 800-hour Postgraduate Diploma in On-board Calibration and Self-Calibration (intrinsic/extrinsic). 8 modules covering ISO 26262:2018, ISO 21448:2022 (SOTIF) and Kalibr. Assigned tutor and open enrolment.
Postgraduate Diploma in On-board Calibration and Self-Calibration (Intrinsic/Extrinsic) — studying from Australia
Australia has active research in autonomous systems, particularly in mining, agriculture and freight, where autonomous haulage and automated equipment are well established. Universities and research bodies collaborate closely with industry on perception, sensor fusion and vehicle software. Advanced driver assistance systems are increasingly standard in imported vehicles, creating demand for engineers who understand safety validation and software integration. Employers range from mining technology firms and research institutions to global automotive software suppliers operating local engineering teams.
Fees for Australia: A$2,050 (AUD), with instalments and employer sponsorship available.
Relevant bodies in Australia
Typical roles
Questions from Australia
Is this qualification recognised by Australian engineering bodies?
SEIUM's qualifications are private and not official state degrees, and they are not accredited by Engineers Australia or any other national body. Professional recognition for engineers in Australia usually runs through accredited university degrees and Engineers Australia membership. Whether a private qualification is valued is decided by employers or the relevant body.
Which Australian employers work in autonomous and ADAS software?
Australia has automotive suppliers, mining and logistics companies using autonomous systems, and technology firms working on driver assistance and vehicle software. Employers usually assess your coding ability, project portfolio and experience more than the name of a private course. Ask prospective employers how they regard the qualification.
How demanding is the course and is it workable with a job in Australia?
The programmes are online and taught in English, so you can study from home without needing a student visa. Specialist courses are 300 hours, postgraduate diplomas 800 hours and master's 1,900 hours, so consider your available time carefully. An assigned technical tutor supports you, fees are payable in instalments, and employer sponsorship may be possible.
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
Geometrically model cameras, LiDAR, radar and IMUs.
Carry out precise intrinsic calibrations of cameras.
Intrinsically calibrate LiDAR, IMU and odometry.
Implement online extrinsic self-calibration algorithms.
Detect miscalibration during vehicle operation.
Apply calibration procedures in workshops and aftersales.
Integrate on-board calibration services with safety criteria.
Who it's for
- Sensor calibration engineer who wants to specialise in On-board Calibration and Self-Calibration (intrinsic/extrinsic).
- Computer vision engineer who wants to specialise in On-board Calibration and Self-Calibration (intrinsic/extrinsic).
- Localisation engineer who wants to specialise in On-board Calibration and Self-Calibration (intrinsic/extrinsic).
- ADAS aftersales technician who wants to specialise in On-board Calibration and Self-Calibration (intrinsic/extrinsic).
- Embedded software engineer who wants to specialise in On-board Calibration and Self-Calibration (intrinsic/extrinsic).
- Validation engineer who wants to specialise in On-board Calibration and Self-Calibration (intrinsic/extrinsic).
- Graduates in engineering or sciences seeking to enter the automotive sector.
What you'll work with
- ISO 26262:2018
- ISO 21448:2022 (SOTIF)
- ISO/SAE 21434:2021
- UN Regulation No. 156
- IEEE 952-2020
- ISO 16505:2019
- UN Regulation No. 155
8 modules · 800 h
1.1Pinhole model and intrinsic parameters1.2Radial and tangential distortion1.3Fisheye and omnidirectional cameras1.4Geometric model of multi-beam LiDAR1.5Intrinsic parameters of radar1.6Biases and scale factors in the IMU1.7Rotations and Lie groups1.8Wheel parameters and odometry1.9Time parameters and delays1.10Laboratory: modelling a wide-angle camera
2.1Zhang's method with chequerboards2.2ChArUco and AprilTag patterns2.3Non-linear least squares2.4Reprojection error and diagnosis2.5Stereo system calibration2.6Rolling shutter calibration2.7Photometric and vignetting calibration2.8Repeatability and thermal stability2.9Pose selection and target coverage2.10Practice: intrinsic calibration with Kalibr
3.1Beam calibration and angular offsets3.2Intensity correction3.3IMU calibration using static positions3.4Allan variance and noise models3.5Wheel odometry calibration3.6Radar mounting angle3.7Validation against external references3.8Temperature and ageing3.9Calibration on a turntable3.10Laboratory: Allan variance analysis
4.1Observability of extrinsic parameters4.2Motion-based hand-eye calibration4.3Joint estimation in state filters4.4Camera-IMU self-calibration in VIO4.5Edge-based LiDAR-camera self-calibration4.6Calibration using road markings4.7Estimation of camera pitch and height4.8Target-free calibration on the road4.9Sufficient motion excitation4.10Laboratory: camera-IMU self-calibration
5.1Miscalibration indicators5.2Consistency between sensors5.3Statistical drift tests5.4Detection of impacts and removals5.5Severity classification5.6In-service recalibration5.7Inhibition of ADAS functions5.8Diagnostic logging5.9Communicating status to the driver5.10Practice: extrinsic drift detector
6.1Procedures after windscreen replacement6.2Static calibration with workshop targets6.3Dynamic calibration on the road6.4Manufacturer diagnostic equipment6.5Space and lighting requirements6.6Calibration documentation6.7Workshop liability and traceability6.8Technician training6.9Axle alignment prior to calibration6.10Case study: front camera recalibration
7.1Calibration service architecture7.2Secure storage of parameters7.3OTA calibration updates7.4Real-time computing resources7.5Functional safety requirements7.6Testing on HIL and in vehicle7.7Convergence validation7.8Cybersecurity of parameters7.9Version management per vehicle7.10Workshop: specifying a self-calibration service
8.1Definition of the sensor system8.2Reference intrinsic calibration8.3Proposed online algorithm8.4Observability analysis8.5Miscalibration detector8.6Evaluation with real data8.7Integration and safety requirements8.8Validation plan8.9Report and presentation8.10Final review with the tutor
How you'll learn
100% online training on the SEIUM Institute campus, with downloadable material, recorded classes and an assigned technical tutor. There are no fixed timetables: students progress at their own pace within the intake, which makes it easy to combine with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is Kalibr, OpenCV, ROS 2, Ceres Solver, MATLAB Camera Calibrator, in free, academic or evaluation versions. Case studies cover real intrinsic calibration procedures for wide-angle cameras, camera-IMU self-calibration in motion, and ADAS recalibration after windscreen replacement. Assessment is continuous by module, plus a final integrating project.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Geometrically model cameras, LiDAR, radar and IMUs.
Carry out precise intrinsic calibrations of cameras.
Intrinsically calibrate LiDAR, IMU and odometry.
Implement online extrinsic self-calibration algorithms.
Detect miscalibration during vehicle operation.
Where this takes you
Requirements
- Prior technical training or professional experience in the sector. A university degree is not required.
- Internet connection and a computer capable of running the programme's software.
- Sufficient Spanish to follow technical standards documentation.
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 comprises 800 hours in total, spread over 6 to 8 months. That is an average of 10 to 15 hours per week, compatible with a full-time job.
You will work with Kalibr, OpenCV, ROS 2, Ceres Solver and MATLAB Camera Calibrator. Free, academic or evaluation versions are used, and the tutor will indicate the open-source alternative where one exists.
An own diploma from SEIUM Institute upon passing the continuous assessment and the integrating project. This is in-house training and not an official qualification from the Ministry.
Yes. Modules passed in a course or postgraduate diploma in the same area are recognised towards the advanced programme. Check the recognition policy when you enrol.
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