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Postgraduate DiplomaAutonomous, ADAS & Software-Defined Vehicle Applications open

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.

Duration800 h
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma
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Learning outcomes

What you will be able to do

01

Geometrically model cameras, LiDAR, radar and IMUs.

02

Carry out precise intrinsic calibrations of cameras.

03

Intrinsically calibrate LiDAR, IMU and odometry.

04

Implement online extrinsic self-calibration algorithms.

05

Detect miscalibration during vehicle operation.

06

Apply calibration procedures in workshops and aftersales.

07

Integrate on-board calibration services with safety criteria.

Profile

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.
Standards & tools

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
Syllabus

8 modules · 800 h

  1. 1.1Pinhole model and intrinsic parameters
  2. 1.2Radial and tangential distortion
  3. 1.3Fisheye and omnidirectional cameras
  4. 1.4Geometric model of multi-beam LiDAR
  5. 1.5Intrinsic parameters of radar
  6. 1.6Biases and scale factors in the IMU
  7. 1.7Rotations and Lie groups
  8. 1.8Wheel parameters and odometry
  9. 1.9Time parameters and delays
  10. 1.10Laboratory: modelling a wide-angle camera
  1. 2.1Zhang's method with chequerboards
  2. 2.2ChArUco and AprilTag patterns
  3. 2.3Non-linear least squares
  4. 2.4Reprojection error and diagnosis
  5. 2.5Stereo system calibration
  6. 2.6Rolling shutter calibration
  7. 2.7Photometric and vignetting calibration
  8. 2.8Repeatability and thermal stability
  9. 2.9Pose selection and target coverage
  10. 2.10Practice: intrinsic calibration with Kalibr
  1. 3.1Beam calibration and angular offsets
  2. 3.2Intensity correction
  3. 3.3IMU calibration using static positions
  4. 3.4Allan variance and noise models
  5. 3.5Wheel odometry calibration
  6. 3.6Radar mounting angle
  7. 3.7Validation against external references
  8. 3.8Temperature and ageing
  9. 3.9Calibration on a turntable
  10. 3.10Laboratory: Allan variance analysis
  1. 4.1Observability of extrinsic parameters
  2. 4.2Motion-based hand-eye calibration
  3. 4.3Joint estimation in state filters
  4. 4.4Camera-IMU self-calibration in VIO
  5. 4.5Edge-based LiDAR-camera self-calibration
  6. 4.6Calibration using road markings
  7. 4.7Estimation of camera pitch and height
  8. 4.8Target-free calibration on the road
  9. 4.9Sufficient motion excitation
  10. 4.10Laboratory: camera-IMU self-calibration
  1. 5.1Miscalibration indicators
  2. 5.2Consistency between sensors
  3. 5.3Statistical drift tests
  4. 5.4Detection of impacts and removals
  5. 5.5Severity classification
  6. 5.6In-service recalibration
  7. 5.7Inhibition of ADAS functions
  8. 5.8Diagnostic logging
  9. 5.9Communicating status to the driver
  10. 5.10Practice: extrinsic drift detector
  1. 6.1Procedures after windscreen replacement
  2. 6.2Static calibration with workshop targets
  3. 6.3Dynamic calibration on the road
  4. 6.4Manufacturer diagnostic equipment
  5. 6.5Space and lighting requirements
  6. 6.6Calibration documentation
  7. 6.7Workshop liability and traceability
  8. 6.8Technician training
  9. 6.9Axle alignment prior to calibration
  10. 6.10Case study: front camera recalibration
  1. 7.1Calibration service architecture
  2. 7.2Secure storage of parameters
  3. 7.3OTA calibration updates
  4. 7.4Real-time computing resources
  5. 7.5Functional safety requirements
  6. 7.6Testing on HIL and in vehicle
  7. 7.7Convergence validation
  8. 7.8Cybersecurity of parameters
  9. 7.9Version management per vehicle
  10. 7.10Workshop: specifying a self-calibration service
  1. 8.1Definition of the sensor system
  2. 8.2Reference intrinsic calibration
  3. 8.3Proposed online algorithm
  4. 8.4Observability analysis
  5. 8.5Miscalibration detector
  6. 8.6Evaluation with real data
  7. 8.7Integration and safety requirements
  8. 8.8Validation plan
  9. 8.9Report and presentation
  10. 8.10Final review with the tutor
Methodology, software & labs

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.

Accreditable laboratories(EN ISO/IEC 17025) with rotor bench, EMC/Lightning pre-compliance, HIL/SIL, vibrations/acoustics.
Evidence-oriented Master's Thesis:safety case, test plan, compliance dossier and operational limits.
Industry Mentored:teachers with experience in training, , eVTOL/UAM and flight test.
Flexible modality(hybrid/online), international cohorts and support from SEIUM Career Services.
Ethics and safety:safety-by-design approach, cyber-OT, DIH and compliance as pillars.
Capstone project

Build it end to end

Your final project follows the real engineering workflow, step by step, reviewed by your tutor.

Definition of the sensor system

Geometrically model cameras, LiDAR, radar and IMUs.

Reference intrinsic calibration

Carry out precise intrinsic calibrations of cameras.

Proposed online algorithm

Intrinsically calibrate LiDAR, IMU and odometry.

Observability analysis

Implement online extrinsic self-calibration algorithms.

Miscalibration detector

Detect miscalibration during vehicle operation.

Career opportunities

Where this takes you

Sensor calibration engineerComputer vision engineerLocalisation engineerADAS aftersales technicianEmbedded software engineerValidation engineer
Admissions & scholarships

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.

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FAQ

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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