AutoSens Training Course

We are pleased to announce the launch of an in-depth 5-day course on How to Build ADAS and Autonomous Systems brought to you by AutoSens and our expert tutors Benjamin May, CEO, AMX13 and Sven Fleck, MD SmartSurv Vision Systems.

Participants will be taken on a 5-day comprehensive journey through all technological aspects of building ADAS and autonomy systems. Beginning with sharing concepts, methods and business models for ADAS, the course will then discuss systems and components for ADAS, safety and security, software and system architecture, data, data fusion and machine learning before finishing with the fundamentals of vehicle dynamics. For the full course outline, see below.

As well as joining this in-depth 5-day course led by expert leaders from within the ADAS industry, other benefits include;

• Single client – only attendees from your company will be present, enabling open discussion and group learning opportunities.
• We come to you – our course tutors will travel to your facility to minimise any additional travel and accommodation costs for your staff.
• 5 full days of training content which can be amended based on your team’s individual requirements.
• All course materials provided by us.
• Tutors are world-renowned experts in camera and sensor systems, image quality, system design and production engineering with extensive experience leading projects for major OEMs.

Contact [email protected] for more details and to discuss further

Full Course Outline

Session One: Introduction, concepts and methods

– Mobility of the future
– Vehicle and environment
– Mobility concepts of the future, business models for ADAS
– State of implementation
– Fundamental concepts: ADAS, assistance systems, autonomous driving
– Development methods, process models for the development of software-based systems
– Process steps of the V model
– Comparison of the V model with agile process models
– Competition and market environment

Session Two: Introduction, Concepts and Methods

Contents:
Modelling and integration of E/E and IT architecture
Systems and components for ADAS
Safety & security
• Regulatory (legal) framework (UN-R 157, VO 2022/1426, AFGBV, ISO 26262, ISO 21448)
Automation and safety as a field of tension
• Functional safety,
data privacy
• Architectures for safe
and reliable systems
– Competition and market environment

Session Three: Software and System Architecture

Contents:
– E/E versus IT architecture
– The changing role of software in the architecture model: the software-defined vehicle (SDV) approach.
– Reference architectures, central gateway architecture, domain architecture, zonal architecture.
– Systems and components, sensors for ADAS, networks, HPCs, edge/cloud computing, collaboration with system suppliers, system integration
– ADAS reference architectures, exemplary reference architectures, layers and components for ADAS systems

Session Four: Software and system architecture

Contents:
– Software for ADAS and autonomous driving
– Fundamentals of processes, products, roles, tools, processes
– Technical development processes for software
– Software architectures, architecture, components, interfaces, system, software, component design
– Software management, organisation, planning, monitoring, control, requirements engineering, division of requirements into system and software requirements, testing, test automation, software integration

Session 5: Data, data fusion and machine learning (ML)

Contents:
– Statistical basics for ADAS
– Data and data types
– Data models
– Statistical significance
– Quality criteria for data models
– Sensor data fusion, basics of sensor data fusion, concepts of sensor data fusion, exemplary applications
• Machine learning (LM)
• Fundamentals of machine learning, programming with Python
• Classification analysis, application areas in ADAS

Session 6: Data, data fusion and machine learning (ML)

Contents:
– Machine learning (ML), fundamentals of machine learning
– Programming with Python
– Classification analysis
– Application areas in ADAS

Session 7: Fundamentals of vehicle dynamics

Contents:
– Vehicle dynamics, introduction to the longitudinal and lateral dynamics of vehicles
– Situation analysis and navigation, situation analysis, behaviour recognition, navigation, classification, manoeuvre management, basics of path and trajectory planning
– Path planning and trajectory control, vehicle dynamics modelling and simulation, speed control, path curve definition and trajectory control

About your tutors:
Dr. Sven Fleck is the founder of SmartSurv and co-founder of obsurver, an AI driven automotive company with a clear mission to save people’s lives.

With SmartSurv, Dr. Sven Fleck is a consultant for a Premium German Automotive OEM in the field of Image Quality (IQ), Calibration and Object Detection. He has been responsible for IQ and Calibration algorithmic functionality for 15+ years now to ensure “best IQ or nothing”. He is in close contact with premium suppliers and Tier-2 imager companies on a daily basis to push the limits of camera systems for viewing and incabin applications and generate KPIs and test methods for IQ2.0.

Sven Fleck is also the co-founder and Vice Chair of IEEE P2020 “Automotive System Image Quality Standardization” working group and is deputy leader of the subgroup “Image Quality for Viewing”.