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CourseCivil, Rail & Smart Cities Applications open

ISO/IEC Course in Autonomous Navigation Systems

Online 300-hour course in ISO/IEC for autonomous navigation systems. 6 modules covering ISO 21448 (SOTIF), ISO 26262 (functional safety in vehicles) and ROS 2 (Nav2). Dedicated tutor and open enrolment.

Duration300 h
ModeOnline
Start datesSet by the faculty
AwardSEIUM Institute diploma
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Run a real engineering trade-off from this programme. Move the sliders, watch the model react in real time and beat the challenge.

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Learning outcomes

What you will be able to do

01

Describe the functional architecture of an autonomous navigation system.

02

Select sensors and techniques for environmental perception.

03

Apply simultaneous localisation and mapping algorithms.

04

Design trajectory planners and control laws.

05

Fuse GNSS, inertial and perception information.

06

Plan safety tests in accordance with applicable standardisation.

07

Develop an integrative autonomous navigation project.

Profile

Who it's for

  • Autonomous navigation engineer who wants to specialise in ISO/IEC for autonomous navigation systems.
  • Perception engineer who wants to specialise in ISO/IEC for autonomous navigation systems.
  • Localisation and mapping engineer who wants to specialise in ISO/IEC for autonomous navigation systems.
  • Vehicle control engineer who wants to specialise in ISO/IEC for autonomous navigation systems.
  • Mobile robotics engineer who wants to specialise in ISO/IEC for autonomous navigation systems.
  • Functional safety engineer who wants to specialise in ISO/IEC for autonomous navigation systems.
  • Engineering or science graduates seeking to enter the automotive industry.
Standards & tools

What you'll work with

  • ISO 21448 (SOTIF)
  • ISO 26262 (functional safety in vehicles)
  • ISO 3691-4 (driverless industrial vehicles)
  • ISO 22737 (low-speed automated driving systems)
  • IEC 61508 (functional safety)
  • RTCA DO-229 (augmented GNSS equipment)
  • ISO 13482 (personal care robots)
Syllabus

6 modules · 300 h

  1. 1.1Functions: perception, localisation, planning and control
  2. 1.2Data flow between functions
  3. 1.3Functional and performance requirements
  4. 1.4Applicable international robotics standards
  5. 1.5Vocabulary and classification standards for robots
  6. 1.6Safety requirements for mobile robots
  7. 1.7Structured and unstructured environments
  8. 1.8Levels of autonomy and their definition
  9. 1.9Sector vocabulary and acronyms
  10. 1.10Exercise: decomposing the navigation of a system
  1. 2.1Distance sensors: laser, radar and ultrasound
  2. 2.2Monocular and stereo cameras
  3. 2.3Inertial sensors and magnetometers
  4. 2.4Sensor fusion and synchronisation
  5. 2.5Intrinsic and extrinsic calibration
  6. 2.6Obstacle detection and classification
  7. 2.7Segmentation of the navigable space
  8. 2.8Limitations due to weather and lighting
  9. 2.9Perception performance metrics
  10. 2.10Practical: calibrating and evaluating a sensor set
  1. 3.1State estimation and filtering
  2. 3.2Odometry and error accumulation
  3. 3.3Simultaneous localisation and mapping
  4. 3.4Metric, topological and semantic maps
  5. 3.5Loop closure and map consistency
  6. 3.6Localisation in a prior map
  7. 3.7Relocalisation after loss of reference
  8. 3.8Position integrity and its estimation
  9. 3.9Degradation in repetitive environments
  10. 3.10Practical: evaluating localisation accuracy
  1. 4.1Global route planning
  2. 4.2Local planning and reactive avoidance
  3. 4.3Kinematic and dynamic constraints
  4. 4.4Prohibited zones and geofences
  5. 4.5Trajectory control and tracking
  6. 4.6Behaviour when encountering unexpected obstacles
  7. 4.7Safe stopping and degraded states
  8. 4.8Speed and safety distances
  9. 4.9Interaction with people and vehicles
  10. 4.10Practical: designing the safe-stop logic
  1. 5.1Risk analysis of the navigation system
  2. 5.2Safety functions and their integrity
  3. 5.3Independent supervision and behaviour monitoring
  4. 5.4Definition of the permitted operating environment
  5. 5.5Tests in laboratory, track and real environments
  6. 5.6Catalogue of test scenarios
  7. 5.7Safety metrics and acceptance criteria
  8. 5.8Data logging and incident analysis
  9. 5.9Documentation for conformity assessment
  10. 5.10Practical: navigation test plan
  1. 6.1Choice of platform and environment
  2. 6.2Functional specification of the navigation
  3. 6.3Sensor selection and calibration
  4. 6.4Localisation and mapping design
  5. 6.5Planning and control design
  6. 6.6Risk analysis and safety functions
  7. 6.7Test plan and metrics
  8. 6.8Conformity documentation
  9. 6.9Technical report
  10. 6.10Defence of the work
Methodology, software & labs

How you'll learn

100 % online training on the SEIUM campus, with downloadable material, recorded classes and a dedicated technical tutor. No fixed timetables: students progress at their own pace within the intake, making it possible to combine study with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is ROS 2 (Nav2), Autoware, MATLAB (Navigation Toolbox), OpenCV, Gazebo, in free, academic or evaluation versions. Tests are studied using real autonomous vehicle test track procedures, GNSS and inertial localisation tests, and perception tests with labelled datasets. Assessment is continuous per module plus the final integrative project.

Accreditation-ready laboratories(EN ISO/IEC 17025) with a rotor test rig, EMC/Lightning pre-compliance, HIL/SIL, vibration/acoustics.
Evidence-oriented Master's Thesis:safety case, test plan, compliance dossier and operating limits.
Industry mentorship:teaching staff with experience in training, , eVTOL/UAM and flight test.
Flexible format(hybrid/online), international cohorts and support from SEIUM Career Services.
Ethics and safety:a safety-by-design approach, OT cyber, 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.

Choice of platform and environment

Describe the functional architecture of an autonomous navigation system.

Functional specification of the navigation

Select sensors and techniques for environmental perception.

Sensor selection and calibration

Apply simultaneous localisation and mapping algorithms.

Localisation and mapping design

Design trajectory planners and control laws.

Planning and control design

Fuse GNSS, inertial and perception information.

Career opportunities

Where this takes you

Autonomous navigation engineerPerception engineerLocalisation and mapping engineerVehicle control engineerMobile robotics engineerFunctional safety engineer
Admissions & scholarships

Requirements

  • No prior qualification 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 is 300 hours in total, spread over 3 to 5 months. That is between 10 and 15 hours a week on average, compatible with a full-time job.

Work is carried out with ROS 2 (Nav2), Autoware, MATLAB (Navigation Toolbox), OpenCV, Gazebo. Free, academic or evaluation versions are used, and the tutor indicates the open-source alternative where one exists.

An SEIUM own diploma upon passing the continuous assessment and the integrative project. It is in-house training, not an official Ministry qualification.

Yes. Modules passed in a course or Postgraduate Diploma in the same area are credited towards the higher programme. Check the credit transfer policy when you enrol.

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