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Postgraduate DiplomaAutonomous, ADAS & Software-Defined Vehicle Applications open

Postgraduate Diploma in AUTOSAR Adaptive and DDS for Perception/Planning

Online 800-hour Postgraduate Diploma in AUTOSAR Adaptive and DDS for Perception/Planning. 8 modules with AUTOSAR Adaptive Platform R23-11, OMG DDS 1.4 and Vector MICROSAR Adaptive. 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

Understand the evolution towards service-oriented software architectures.

02

Use the functional clusters of AUTOSAR Adaptive.

03

Implement service-oriented communication with ara::com and SOME/IP.

04

Configure DDS and its quality of service policies.

05

Design distributed perception and planning pipelines.

06

Model and configure adaptive applications with industrial tools.

07

Apply functional safety and cybersecurity to the platform.

Profile

Who it's for

  • AUTOSAR software engineer looking to specialise in AUTOSAR Adaptive and DDS for Perception/Planning.
  • Vehicle software architect looking to specialise in AUTOSAR Adaptive and DDS for Perception/Planning.
  • Middleware engineer looking to specialise in AUTOSAR Adaptive and DDS for Perception/Planning.
  • Software integration engineer looking to specialise in AUTOSAR Adaptive and DDS for Perception/Planning.
  • Embedded systems engineer looking to specialise in AUTOSAR Adaptive and DDS for Perception/Planning.
  • Perception engineer looking to specialise in AUTOSAR Adaptive and DDS for Perception/Planning.
  • Engineering or science graduates seeking to enter the automotive sector.
Standards & tools

What you'll work with

  • AUTOSAR Adaptive Platform R23-11
  • OMG DDS 1.4
  • ISO 26262:2018
  • OMG DDS-RTPS 2.5
  • OMG DDS Security 1.1
  • ISO/SAE 21434:2021
  • IEEE 1003.13-2003 (PSE51)
  • UN Regulation No. 155
Syllabus

8 modules · 800 h

  1. 1.1From AUTOSAR Classic to Adaptive
  2. 1.2Central and zonal computers
  3. 1.3POSIX PSE51 profile
  4. 1.4Service orientation
  5. 1.5Requirements of perception applications
  6. 1.6Supplier ecosystem
  7. 1.7AUTOSAR release cycle
  8. 1.8Comparison with ROS 2
  9. 1.9Coexistence of Classic and Adaptive in a vehicle
  10. 1.10Case study: architecture of a central ADAS controller
  1. 2.1Platform functional clusters
  2. 2.2Execution Management
  3. 2.3State Management
  4. 2.4Persistency and Platform Health Management
  5. 2.5Update and Configuration Management
  6. 2.6Log and Trace
  7. 2.7Execution and machine manifests
  8. 2.8Identity and Access Management
  9. 2.9Diagnostics on the adaptive platform
  10. 2.10Lab: minimal adaptive application
  1. 3.1ara::com API
  2. 3.2Proxies and skeletons
  3. 3.3Events, methods and fields
  4. 3.4SOME/IP and service discovery
  5. 3.5DDS binding in AUTOSAR
  6. 3.6Data serialisation
  7. 3.7Zero-copy communication
  8. 3.8Communication latencies
  9. 3.9Versioning of service interfaces
  10. 3.10Practice: detected-objects service with ara::com
  1. 4.1Data-centric publish-subscribe
  2. 4.2Domains, topics and partitions
  3. 4.3QoS policies
  4. 4.4RTPS protocol
  5. 4.5IDL and data types
  6. 4.6DDS Security
  7. 4.7Fast DDS, Cyclone DDS and Connext
  8. 4.8Performance and tuning
  9. 4.9XTypes extensible types
  10. 4.10Lab: DDS QoS for point clouds
  1. 5.1Decomposition into services
  2. 5.2Flow from sensors to planning
  3. 5.3Synchronisation and timestamps
  4. 5.4High-volume images and point clouds
  5. 5.5Shared memory with iceoryx
  6. 5.6Determinism and cause-effect chains
  7. 5.7Accelerator integration
  8. 5.8Communication errors
  9. 5.9Deterministic execution through time windows
  10. 5.10Case study: perception pipeline over DDS
  1. 6.1ARXML modelling
  2. 6.2Vector and Elektrobit tools
  3. 6.3Code generation
  4. 6.4Continuous integration of adaptive software
  5. 6.5Service testing
  6. 6.6Virtual ECUs
  7. 6.7Variant management
  8. 6.8Debugging and tracing
  9. 6.9Containers for development and testing
  10. 6.10Practice: deployment configured with manifests
  1. 7.1ISO 26262 on adaptive platforms
  2. 7.2Mixed criticality and partitioning
  3. 7.3Secure communication and SecOC
  4. 7.4Intrusion detection
  5. 7.5Secure OTA updates
  6. 7.6Health monitors
  7. 7.7Stack certification
  8. 7.8Long-term maintenance
  9. 7.9Service access control
  10. 7.10Workshop: security analysis of a service
  1. 8.1Function requirements
  2. 8.2Proposed services
  3. 8.3Interface modelling
  4. 8.4Implementation with ara::com or DDS
  5. 8.5QoS configuration
  6. 8.6Deployment and execution
  7. 8.7Latency measurement
  8. 8.8Security analysis
  9. 8.9Report and presentation
  10. 8.10Final review with the tutor
Methodology, software & labs

How you'll learn

Fully 100% online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. No fixed timetables: students progress at their own pace within the intake, which makes it possible to combine the programme with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is Vector MICROSAR Adaptive, Eclipse iceoryx, eProsima Fast DDS, Eclipse Cyclone DDS, Wireshark, in free, academic or evaluation versions. Tests are studied through real implementation procedures for perception services with ara::com, DDS QoS tuning for sensor data, and latency measurement in a distributed pipeline. Assessment is continuous per module plus the final integrative 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.

Function requirements

Understand the evolution towards service-oriented software architectures.

Proposed services

Use the functional clusters of AUTOSAR Adaptive.

Interface modelling

Implement service-oriented communication with ara::com and SOME/IP.

Implementation with ara::com or DDS

Configure DDS and its quality of service policies.

QoS configuration

Design distributed perception and planning pipelines.

Career opportunities

Where this takes you

AUTOSAR software engineerVehicle software architectMiddleware engineerSoftware integration engineerEmbedded systems engineerPerception 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 command of 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 totals 800 hours, spread over 6 to 8 months. That is between 10 and 15 hours per week on average, compatible with a full-time job.

You work with Vector MICROSAR Adaptive, Eclipse iceoryx, eProsima Fast DDS, Eclipse Cyclone DDS, Wireshark. Free, academic or evaluation versions are used, and the tutor indicates the open-source alternative where one exists.

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

Yes. Modules passed in a course or postgraduate diploma in the same area are credited towards the advanced programme. Check the recognition policy when you enrol.

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