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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. 1.1. Role of maps in automated driving
  2. 1.2. Standard maps versus HD maps
  3. 1.3. Global and relative localisation
  4. 1.4. V2X vehicular communication
  5. 1.5. Architecture of a localisation stack
  6. 1.6. Accuracy requirements by function
  7. 1.7. Map and service providers
  8. 1.8. Mapless versus HD strategies
  9. 1.9. Mobility data ecosystem
  10. 1.10. Case study: localisation requirements for an ALKS
  1. 2.1. Layers of an HD map
  2. 2.2. Lane geometry and topology
  3. 2.3. Semantic attributes and signage
  4. 2.4. OpenDRIVE and Lanelet2 formats
  5. 2.5. NDS.Live map standard
  6. 2.6. Feature maps for localisation
  7. 2.7. Absolute and relative accuracy
  8. 2.8. Coverage and scalability
  9. 2.9. Updating and freshness
  10. 2.10. Lab: map editing in Lanelet2
  1. 3.1. GPS, Galileo and BeiDou constellations
  2. 3.2. GNSS positioning errors
  3. 3.3. Differential GNSS and RTK
  4. 3.4. Precise Point Positioning
  5. 3.5. Galileo High Accuracy Service
  6. 3.6. Multipath in urban environments
  7. 3.7. Integrity and protection levels
  8. 3.8. Automotive antennas and receivers
  9. 3.9. Network-based corrections
  10. 3.10. Practical: analysis of an RTK solution
  1. 4.1. MEMS IMU units
  2. 4.2. Inertial navigation equations
  3. 4.3. Wheel odometry
  4. 4.4. Loosely and tightly coupled GNSS/INS integration
  5. 4.5. Error-state Kalman filter
  6. 4.6. Drift and online calibration
  7. 4.7. Navigation in tunnels
  8. 4.8. Vehicle models as constraints
  9. 4.9. Performance evaluation
  10. 4.10. Workshop: GNSS/INS fusion with a Kalman filter
  1. 5.1. Point-cloud localisation
  2. 5.2. NDT and ICP algorithms
  3. 5.3. Localisation with road markings
  4. 5.4. Radar-based localisation
  5. 5.5. Particle filters
  6. 5.6. Feature-based visual localisation
  7. 5.7. Association with a semantic map
  8. 5.8. Robustness to environmental changes
  9. 5.9. Localisation integrity
  10. 5.10. Lab: NDT localisation in Autoware
  1. 6.1. Formulation of SLAM
  2. 6.2. LiDAR SLAM with LOAM
  3. 6.3. Visual SLAM with ORB-SLAM
  4. 6.4. Pose graphs
  5. 6.5. Loop closure
  6. 6.6. Optimisation with g2o and GTSAM
  7. 6.7. Multi-sensor SLAM with an IMU
  8. 6.8. Large-scale mapping
  9. 6.9. SLAM in dynamic environments
  10. 6.10. Practical: LiDAR SLAM in ROS 2
  1. 7.1. ETSI ITS architecture
  2. 7.2. ITS-G5 based on IEEE 802.11p
  3. 7.3. C-V2X PC5 and Uu
  4. 7.4. 5G NR V2X
  5. 7.5. CAM and DENM messages
  6. 7.6. SPAT and MAP messages
  7. 7.7. V2X PKI security
  8. 7.8. Latency and reliability
  9. 7.9. Deployment in Europe
  10. 7.10. Workshop: analysis of CAM messages
  1. 8.1. Day 1 C-ITS services
  2. 8.2. Roadworks and hazard warnings
  3. 8.3. Traffic light information (GLOSA)
  4. 8.4. Collective perception between vehicles
  5. 8.5. Coordinated manoeuvres between vehicles
  6. 8.6. Lorry platooning
  7. 8.7. Shared dynamic maps
  8. 8.8. C-Roads corridors in Europe
  9. 8.9. Benefit assessment
  10. 8.10. Case study: roadworks warning service
  1. 9.1. Local dynamic map (LDM)
  2. 9.2. Dynamic traffic layers
  3. 9.3. Fleet-based updating
  4. 9.4. Detection of environmental changes
  5. 9.5. Map crowdsourcing
  6. 9.6. Real-time infrastructure data
  7. 9.7. Cloud distribution
  8. 9.8. Update latency
  9. 9.9. Data quality
  10. 9.10. Lab: detection of lane changes
  1. 10.1. Integrity analysis of the solution
  2. 10.2. Protection levels
  3. 10.3. Fault detection and exclusion
  4. 10.4. GNSS spoofing and jamming
  5. 10.5. Galileo OSNMA authentication
  6. 10.6. Map cybersecurity
  7. 10.7. Functional safety of localisation
  8. 10.8. SOTIF in localisation
  9. 10.9. Degraded states and graceful degradation
  10. 10.10. Practical: GNSS spoofing detection
  1. 11.1. ETSI ITS standards
  2. 11.2. SAE J2735 standards
  3. 11.3. ISO 21217 architecture standards
  4. 11.4. Revised ITS Directive 2010/40/EU
  5. 11.5. C-ITS Delegated Regulation
  6. 11.6. Map requirements in R157
  7. 11.7. ISO 20524 GDF standards
  8. 11.8. Regulation of geospatial data
  9. 11.9. Privacy of location data
  10. 11.10. Workshop: V2X standards matrix
  1. 12.1. Definition of localisation requirements
  2. 12.2. Selection of sensors and maps
  3. 12.3. Design of the localisation fusion
  4. 12.4. Integration of V2X services
  5. 12.5. Integrity analysis
  6. 12.6. Validation plan
  7. 12.7. Experimental results in the vehicle
  8. 12.8. Conclusions and future work
  9. 12.9. Master's Thesis report
  10. 12.10. Master'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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