Autonomous Emergency Braking (AEB) Course
The Autonomous Emergency Braking (AEB) Course provides comprehensive training on AEB systems in vehicles. It explores how they work, the technology behind sensors such as radars and cameras, and the signal processing algorithms used for obstacle detection. It focuses on AEB implementation, including emergency braking and collision mitigation. It covers road safety regulation and assessment tests such as the Euro NCAP and IIHS tests. It prepares students for roles as active safety engineers, diagnostic technicians and ADAS systems specialists, improving safety across the automotive industry.
The course includes an understanding of electronic stability control (ESC) systems and their interaction with AEB. It highlights the different types of AEB systems, from those that detect pedestrians to those that act in traffic situations. The programme ensures practical application through simulations and data analysis, covering performance evaluation and fault identification, always under current safety standards such as ISO 26262 and UNECE R131, preparing students to meet the challenges of autonomous driving.
Take the controls.
Run a real engineering trade-off from this field. Move the sliders, watch the model react in real time and beat the challenge.
What you will be able to do
Describe the architecture and components of an AEB system.
Analyse sensing technologies: radar, camera and lidar.
Design decision logic based on time to collision.
Interpret the homologation requirements of UN Regulations R152 and R131.
Plan AEB tests on track and in simulation.
Apply ISO 26262 and ISO 21448 to the safety analysis of the system.
Develop an AEB system project from concept to validation.
Who it's for
- AEB systems engineer looking to specialise in Autonomous Emergency Braking (AEB).
- Sensor fusion engineer looking to specialise in Autonomous Emergency Braking (AEB).
- Control algorithms engineer looking to specialise in Autonomous Emergency Braking (AEB).
- ADAS validation engineer looking to specialise in Autonomous Emergency Braking (AEB).
- ADAS homologation engineer looking to specialise in Autonomous Emergency Braking (AEB).
- Functional safety engineer looking to specialise in Autonomous Emergency Braking (AEB).
- Graduates in engineering or science seeking to enter the automotive industry.
What you'll work with
- UN Regulation R152 (AEBS for passenger cars)
- UN Regulation R131 (AEBS for heavy vehicles)
- FMVSS 127 (automatic emergency braking)
- ISO 22839 (forward collision mitigation systems)
- ISO 26262 (functional safety)
- ISO 21448 (SOTIF)
- Euro NCAP AEB protocols
6 modules · 300 h
1.1Operating principle of autonomous braking1.2History and deployment of AEB1.3Types: urban, inter-urban, pedestrian and cyclist1.4Architecture: sensors, ECU and actuators1.5FCW warnings and partial braking1.6Effectiveness in reducing accidents1.7EU mandatory requirement: Regulation 2019/21441.8UNECE R131 and R1521.9Euro NCAP and AEB assessment1.10Case study: analysis of AEB effectiveness data
2.177 GHz radar and its processing2.2Front camera and computer vision2.3Lidar in advanced systems2.4Sensor fusion2.5Object detection and classification2.6Target tracking and the Kalman filter2.7Limitations: rain, fog and glare2.8False positives and phantom braking2.9Sensor calibration2.10Laboratory: Kalman filter for vehicle tracking
3.1Time to collision (TTC)3.2Threat and avoidability models3.3Warning strategies and staged braking3.4Driver intervention and override3.5Braking dynamics and ESC3.6Braking in curves and turns3.7Crossing and junction scenarios3.8Reverse gear and rear AEB3.9Interaction with ACC3.10Practice: TTC-based decision algorithm
4.1R152 scenarios: car, pedestrian and cyclist4.2Euro NCAP CCR, CPNA and CBLA protocols4.3Test targets: GVT and dummies4.4Robotic platforms and guidance systems4.5Accuracy and repeatability4.6False activation testing4.7Simulation and virtual validation4.8Night-time testing4.9Documentation for the technical service4.10Workshop: R152 test plan
5.1ISO 26262 functional safety in AEB5.2SOTIF and triggering conditions5.3Unwanted braking and its risk5.4HMI and user comprehension5.5Field data and monitoring5.6Software updates5.7NHTSA defect investigations5.8AEB in heavy vehicles: R1315.9AEB for motorcycles and vulnerable road users5.10Case study: phantom braking investigation
6.1Requirements definition6.2Sensor selection6.3System architecture6.4Decision algorithm6.5Scenario simulation6.6Safety analysis6.7Homologation test plan6.8NCAP score estimation6.9Report and presentation6.10Final review with the tutor
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: students progress at their own pace within the intake period, which makes it possible to combine the course with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is MATLAB/Simulink, IPG CarMaker, Vector CANoe, Python (NumPy), in free, academic or evaluation versions. Tests are studied using real track test procedures with soft targets, collision scenario simulation and hardware-in-the-loop testing of the controller. Assessment is continuous by module, plus the final integrating project.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Describe the architecture and components of an AEB system.
Analyse the sensing technologies: radar, camera and lidar.
Design the decision logic based on time to collision.
Interpret the homologation requirements of UN Regulations R152 and R131.
Plan AEB tests on track and in simulation.
Where this takes you
Requirements
- No prior degree is required.
- Internet connection and a computer capable of running the programme's software.
- Sufficient level of Spanish to follow technical standards.
Ready to start?
Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.
Frequently asked questions
The programme totals 300 hours, spread over 3 to 5 months. That is between 10 and 15 hours per week on average, compatible with a full-time job.
You work with MATLAB/Simulink, IPG CarMaker, Vector CANoe and Python (NumPy). Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.
A SEIUM own diploma upon passing the continuous assessment and the integrating 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 recognised towards the advanced programme. Check the recognition policy when enrolling.
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