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Master'sAutonomous, ADAS & Software-Defined Vehicle Applications open

Master’s in Highway Autonomy Engineering

Online master's programme of 1,900 hours in motorway autonomy engineering: 12 modules covering long-range perception, prediction, motorway planning, high-speed control, autonomous trucks, maps and connectivity, SOTIF, control transitions, R157 validation and regulation, with an assigned technical tutor.

Duration1900 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

Analyse the requirements of automated motorway driving.

02

Design long-range perception.

03

Predict traffic behaviour on motorways.

04

Plan and control high-speed manoeuvres.

05

Analyse the operation of autonomous trucks.

06

Validate systems in line with the R157 Regulation.

07

Develop a motorway autonomy project.

Profile

Who it's for

  • Automated motorway driving engineers.
  • Motion planning engineers.
  • Long-range perception engineers.
  • Safety engineers for automated systems.
  • Autonomous truck engineers.
  • Type-approval engineers.
  • Engineering or science graduates seeking to enter the automotive sector.
Standards & tools

What you'll work with

  • UN ECE R157 (Automated Lane Keeping Systems)
  • UN ECE R171 (Driver Control Assistance Systems)
  • ISO 21448 (SOTIF — safety of the intended functionality)
  • ISO 26262 (road vehicle functional safety)
  • Implementing Regulation (EU) 2022/1426 (type approval of automated driving systems)
  • ISO 34502 (scenario-based safety evaluation framework)
  • ISO 15622 (adaptive cruise control systems)
  • ETSI EN 302 637-3 (DENM — decentralised environmental notification)
  • CARLA
  • IPG CarMaker
  • MATLAB/Simulink
  • Autoware
  • SUMO
Syllabus

12 modules · 1900 h

  1. 1.1Characteristics of the motorway environment
  2. 1.2Level 2 to 4 functions on the motorway
  3. 1.3ALKS and its regulatory evolution
  4. 1.4Long-haul autonomous trucks
  5. 1.5Safety and efficiency benefits
  6. 1.6Commercial cases in the US, Europe and China
  7. 1.7Speed and perception distance requirements
  8. 1.8Edge-case challenges at high speed
  9. 1.9Industry roadmap
  10. 1.10Case study: analysis of a type-approved L3 system
  1. 2.1Range requirements at 130 km/h
  2. 2.2Long-range radar
  3. 2.3Long-range 1550 nm LiDAR
  4. 2.4Telephoto cameras
  5. 2.5Detection of small objects on the carriageway
  6. 2.6Detection of stationary vehicles
  7. 2.7Rear perception for lane changes
  8. 2.8High-speed fusion
  9. 2.9Weather conditions on motorways
  10. 2.10Lab: perception range budget
  1. 3.1Predicting other vehicles' lane changes
  2. 3.2Predicting cut-ins
  3. 3.3Motorway traffic models
  4. 3.4Interaction at merges
  5. 3.5Behaviour towards emergency vehicles
  6. 3.6highD and exiD datasets
  7. 3.7Long-horizon prediction
  8. 3.8Uncertainty at high speed
  9. 3.9Evaluation of predictors
  10. 3.10Practical exercise: cut-in prediction with highD
  1. 4.1Lane and vehicle following
  2. 4.2Automated lane changes
  3. 4.3Merges and exits
  4. 4.4Safe overtaking on high-speed roads
  5. 4.5Traffic-jam management
  6. 4.6Efficient speed planning
  7. 4.7Response to roadworks and lane narrowing
  8. 4.8Automated toll passage
  9. 4.9Minimal risk manoeuvres onto the hard shoulder
  10. 4.10Workshop: lane-change planner
  1. 5.1Lateral dynamics at high speed
  2. 5.2Trajectory control with MPC
  3. 5.3Stability in crosswinds
  4. 5.4Longitudinal control with advanced ACC
  5. 5.5Comfort and smoothness
  6. 5.6Control of trucks with trailers
  7. 5.7Coordination with brakes and steering
  8. 5.8Actuator redundancy
  9. 5.9Track validation
  10. 5.10Lab: lateral MPC at 130 km/h
  1. 6.1Hub-to-hub operating model
  2. 6.2Dynamics of articulated vehicles
  3. 6.3Truck braking distances
  4. 6.4Platooning and cooperative driving
  5. 6.5Transfer centres
  6. 6.6Fatigue and driving-time management
  7. 6.7Integration with logistics
  8. 6.8Hard-shoulder safety
  9. 6.9Operator cases
  10. 6.10Practical exercise: hub-to-hub route analysis
  1. 7.1HD maps of motorways
  2. 7.2Lane-level localisation
  3. 7.3Real-time roadworks information
  4. 7.4C-ITS services on motorways
  5. 7.5DENM hazard messages
  6. 7.6European connected corridors
  7. 7.7Autonomy-ready infrastructure
  8. 7.8Traffic management and autonomy
  9. 7.9Motorway operator data
  10. 7.10Workshop: integrating roadworks warnings
  1. 8.1Motorway-specific hazards
  2. 8.2Critical high-speed scenarios
  3. 8.3Triggering conditions at high speed
  4. 8.4Redundant fail-operational architecture
  5. 8.5ODD monitoring on the motorway
  6. 8.6Minimal risk manoeuvres
  7. 8.7Safety argumentation
  8. 8.8Motorway accident data
  9. 8.9Lessons from incidents
  10. 8.10Case study: HARA of a motorway pilot
  1. 9.1Takeover requests at L3
  2. 9.2Driver monitoring
  3. 9.3Permitted secondary activities
  4. 9.4Transition time
  5. 9.5Takeover failures
  6. 9.6Motorway HMI
  7. 9.7Communicating system limits
  8. 9.8User evaluation
  9. 9.9Regulatory requirements for transitions
  10. 9.10Lab: motorway takeover study
  1. 10.1R157 requirements up to 130 km/h
  2. 10.2Lane-change tests
  3. 10.3High-speed track tests
  4. 10.4Simulation of motorway scenarios
  5. 10.5Validation of autonomous trucks
  6. 10.6Open-road testing
  7. 10.7Safety metrics
  8. 10.8Type-approval audit
  9. 10.9Post-approval fleet monitoring
  10. 10.10Practical exercise: R157 test matrix
  1. 11.1European regulation of automated systems
  2. 11.2State-by-state regulation in the US
  3. 11.3Regulation in China
  4. 11.4Liability at Level 3
  5. 11.5Insurance for Level 3 vehicles
  6. 11.6Business models for passenger cars
  7. 11.7Business models for trucks
  8. 11.8System costs
  9. 11.9Commercial roadmap
  10. 11.10Workshop: business model for an autonomous truck
  1. 12.1Definition of the motorway ODD
  2. 12.2Sensor suite design
  3. 12.3Prediction and planning
  4. 12.4High-speed control
  5. 12.5Safety analysis
  6. 12.6Control transition design
  7. 12.7Validation plan
  8. 12.8Conclusions and future work
  9. 12.9Master's Thesis report
  10. 12.10Master's Thesis: defence before a panel
Methodology, software & labs

How you'll learn

100% online training 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 each intake, making it compatible with full-time work.

Each module combines theory, guided reading of the original standards and applied exercises. The working software is CARLA, IPG CarMaker, MATLAB/Simulink, Autoware and SUMO, in free, academic or evaluation versions. Testing is studied through real procedures from lane-change track tests, cut-in scenario simulation and takeover validation. Assessment is continuous by module, plus the final Master's Thesis.

Standards covered: UN ECE R157, UN ECE R171, ISO 21448, ISO 26262, Implementing Regulation (EU) 2022/1426 (ADS), ISO 34502, ISO 15622, ETSI EN 302 637-3.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of UN ECE R157, UN ECE R171, ISO 21448 and ISO 34502 applied to real cases, not as a theoretical annex.
Industry software:CARLA, IPG CarMaker, MATLAB/Simulink, Autoware and SUMO, in free, academic or evaluation versions.
Master's Thesis with defence:A complete motorway autonomy project, from the ODD and sensor suite to prediction, planning, high-speed control, safety, control transition and validation plan, defended before a panel.
Flexible format:100% online, no fixed timetables, compatible with full-time work.
Capstone project

Build it end to end

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

ODD and sensor suite
Define the motorway ODD and design the long-range sensor suite.
Prediction and planning
Develop prediction and planning for lane changes, merges and cut-ins.
High-speed control
Design high-speed lateral and longitudinal control.
Safety and transition
Carry out the safety analysis and design the control transition with the driver.
Master's Thesis
Present the validation plan and conclusions of the motorway autonomy project, defended before a panel.
Career opportunities

Where this takes you

Automated Motorway Driving EngineerPlanning EngineerLong-Range Perception EngineerSafety EngineerAutonomous Truck EngineerType-Approval Engineer
Admissions & scholarships

Requirements

  • A university degree in engineering, science or architecture, or equivalent demonstrable professional experience.
  • An 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.

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FAQ

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 CARLA, IPG CarMaker, MATLAB/Simulink, Autoware and SUMO, 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 programme's 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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