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

Master’s in HD Maps, Localisation & V2X Engineering

Online master's programme of 1,900 hours in HD maps, localisation and V2X engineering, structured in 12 modules covering HD maps, GNSS positioning, inertial navigation, map-based localisation, SLAM, V2X communications, cooperative services, dynamic maps, integrity and standards, 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

Describe the structure and formats of HD maps.

02

Apply high-precision GNSS positioning techniques.

03

Fuse GNSS, IMU and odometry for localisation.

04

Implement map-based localisation and SLAM.

05

Analyse V2X communications and their cooperative services.

06

Assess the integrity and security of localisation.

07

Develop an integrated localisation and V2X project.

Profile

Who it's for

  • Localisation engineers.
  • HD map engineers.
  • V2X communications engineers.
  • GNSS/INS navigation engineers.
  • Cooperative systems engineers.
  • Geospatial data specialists.
  • Engineering or science graduates looking to enter the automotive sector.
Standards & tools

What you'll work with

  • ETSI EN 302 637-2 (Cooperative Awareness Basic Service, CAM)
  • ETSI EN 302 637-3 (Decentralised Environmental Notification Basic Service, DENM)
  • SAE J2735 (V2X communications message set dictionary)
  • Directive (EU) 2023/2661 (intelligent transport systems)
  • ISO 21217 (ITS station and communication architecture)
  • ASAM OpenDRIVE (road network description format)
  • ISO 26262 (functional safety of road vehicles)
  • ISO 21448 (safety of the intended functionality, SOTIF)
  • Autoware
  • ROS 2
  • GTSAM
  • RTKLIB
  • Vector CANoe.Car2x
Syllabus

12 modules · 1900 h

  1. 1.1Role of maps in automated driving
  2. 1.2Standard maps versus HD maps
  3. 1.3Global and relative localisation
  4. 1.4V2X vehicular communication
  5. 1.5Architecture of a localisation stack
  6. 1.6Accuracy requirements by function
  7. 1.7Map and service providers
  8. 1.8Mapless versus HD strategies
  9. 1.9Mobility data ecosystem
  10. 1.10Case study: localisation requirements for an ALKS
  1. 2.1Layers of an HD map
  2. 2.2Lane geometry and topology
  3. 2.3Semantic attributes and signage
  4. 2.4OpenDRIVE and Lanelet2 formats
  5. 2.5NDS.Live map standard
  6. 2.6Feature maps for localisation
  7. 2.7Absolute and relative accuracy
  8. 2.8Coverage and scalability
  9. 2.9Updating and freshness
  10. 2.10Lab: map editing in Lanelet2
  1. 3.1GPS, Galileo and BeiDou constellations
  2. 3.2GNSS positioning errors
  3. 3.3Differential GNSS and RTK
  4. 3.4Precise Point Positioning
  5. 3.5Galileo High Accuracy Service
  6. 3.6Multipath in urban environments
  7. 3.7Integrity and protection levels
  8. 3.8Automotive antennas and receivers
  9. 3.9Network-based corrections
  10. 3.10Practical: analysis of an RTK solution
  1. 4.1MEMS IMU units
  2. 4.2Inertial navigation equations
  3. 4.3Wheel odometry
  4. 4.4Loosely and tightly coupled GNSS/INS integration
  5. 4.5Error-state Kalman filter
  6. 4.6Drift and online calibration
  7. 4.7Navigation in tunnels
  8. 4.8Vehicle models as constraints
  9. 4.9Performance evaluation
  10. 4.10Workshop: GNSS/INS fusion with a Kalman filter
  1. 5.1Point-cloud localisation
  2. 5.2NDT and ICP algorithms
  3. 5.3Localisation with road markings
  4. 5.4Radar-based localisation
  5. 5.5Particle filters
  6. 5.6Feature-based visual localisation
  7. 5.7Association with a semantic map
  8. 5.8Robustness to environmental changes
  9. 5.9Localisation integrity
  10. 5.10Lab: NDT localisation in Autoware
  1. 6.1Formulation of SLAM
  2. 6.2LiDAR SLAM with LOAM
  3. 6.3Visual SLAM with ORB-SLAM
  4. 6.4Pose graphs
  5. 6.5Loop closure
  6. 6.6Optimisation with g2o and GTSAM
  7. 6.7Multi-sensor SLAM with an IMU
  8. 6.8Large-scale mapping
  9. 6.9SLAM in dynamic environments
  10. 6.10Practical: LiDAR SLAM in ROS 2
  1. 7.1ETSI ITS architecture
  2. 7.2ITS-G5 based on IEEE 802.11p
  3. 7.3C-V2X PC5 and Uu
  4. 7.45G NR V2X
  5. 7.5CAM and DENM messages
  6. 7.6SPAT and MAP messages
  7. 7.7V2X PKI security
  8. 7.8Latency and reliability
  9. 7.9Deployment in Europe
  10. 7.10Workshop: analysis of CAM messages
  1. 8.1Day 1 C-ITS services
  2. 8.2Roadworks and hazard warnings
  3. 8.3Traffic light information (GLOSA)
  4. 8.4Collective perception between vehicles
  5. 8.5Coordinated manoeuvres between vehicles
  6. 8.6Lorry platooning
  7. 8.7Shared dynamic maps
  8. 8.8C-Roads corridors in Europe
  9. 8.9Benefit assessment
  10. 8.10Case study: roadworks warning service
  1. 9.1Local dynamic map (LDM)
  2. 9.2Dynamic traffic layers
  3. 9.3Fleet-based updating
  4. 9.4Detection of environmental changes
  5. 9.5Map crowdsourcing
  6. 9.6Real-time infrastructure data
  7. 9.7Cloud distribution
  8. 9.8Update latency
  9. 9.9Data quality
  10. 9.10Lab: detection of lane changes
  1. 10.1Integrity analysis of the solution
  2. 10.2Protection levels
  3. 10.3Fault detection and exclusion
  4. 10.4GNSS spoofing and jamming
  5. 10.5Galileo OSNMA authentication
  6. 10.6Map cybersecurity
  7. 10.7Functional safety of localisation
  8. 10.8SOTIF in localisation
  9. 10.9Degraded states and graceful degradation
  10. 10.10Practical: GNSS spoofing detection
  1. 11.1ETSI ITS standards
  2. 11.2SAE J2735 standards
  3. 11.3ISO 21217 architecture standards
  4. 11.4Revised ITS Directive 2010/40/EU
  5. 11.5C-ITS Delegated Regulation
  6. 11.6Map requirements in R157
  7. 11.7ISO 20524 GDF standards
  8. 11.8Regulation of geospatial data
  9. 11.9Privacy of location data
  10. 11.10Workshop: V2X standards matrix
  1. 12.1Definition of localisation requirements
  2. 12.2Selection of sensors and maps
  3. 12.3Design of the localisation fusion
  4. 12.4Integration of V2X services
  5. 12.5Integrity analysis
  6. 12.6Validation plan
  7. 12.7Experimental results in the vehicle
  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

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 Autoware, ROS 2, GTSAM, RTKLIB and Vector CANoe.Car2x, in free, academic or evaluation versions. Testing is studied through real procedures for localisation tests in urban environments, analysis of V2X messages on corridors and the creation and editing of HD maps. Assessment is continuous by module, plus the final Master's Thesis.

Standards covered: ETSI EN 302 637-2, ETSI EN 302 637-3, SAE J2735, Directive (EU) 2023/2661 (ITS), ISO 21217, ASAM OpenDRIVE, ISO 26262, ISO 21448.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of ETSI EN 302 637-2, ETSI EN 302 637-3 and SAE J2735 applied to real cases, not as a theoretical annex.
Industry software:Autoware, ROS 2, GTSAM, RTKLIB and Vector CANoe.Car2x, in free, academic or evaluation versions.
Master's Thesis with defence:An integrated localisation and V2X system, from requirements to experimental results in the vehicle, 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.

Localisation requirements
Define the localisation requirements and select sensors and maps.
Localisation fusion
Design GNSS/INS and map-based localisation fusion.
V2X integration
Integrate cooperative V2X services such as CAM, DENM and SPAT/MAP.
Integrity analysis
Analyse localisation integrity, protection levels and GNSS spoofing.
Master's Thesis
Validate the system with experimental results in the vehicle, defended before a panel.
Career opportunities

Where this takes you

Localisation EngineerHD Map EngineerV2X Communications EngineerGNSS/INS Navigation EngineerCooperative Systems EngineerGeospatial Data Specialist
Admissions & scholarships

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.

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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 Autoware, ROS 2, GTSAM, RTKLIB and Vector CANoe.Car2x, 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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