ADAS and Automotive Software Training

Duration: 8 hours

Alpinum’s ADAS and Automotive Software Training helps engineers understand the software, communication and safety concepts used in modern automotive systems. The course is designed for software engineers, embedded engineers, systems engineers and teams working with automotive networking, perception, sensor fusion or safety-critical software.

This course connects automotive communication technologies with practical software workflows for ADAS and advanced vehicle systems.

Who Should Attend?

This course is suitable for:

• • Automotive software engineers

• • Embedded engineers working with vehicle communication systems

• • Systems engineers involved in ADAS or perception workflows

• • Teams needing structured training in automotive software concepts

What the Course Covers

Participants learn how automotive systems communicate, process sensor data and support safety-critical decision-making.

Key topics include:

• • CAN and Automotive Ethernet

• • SOME/IP services

• • AUTOSAR architecture

• • Sensor fusion

• • Object and lane detection

• • Functional safety concepts

• • ISO 26262 awareness

• • ADAS software pipelines

Practical Labs

The course includes labs on automotive communication and middleware, as well as sensor fusion and functional safety. Participants explore communication nodes, service-oriented communication, sensor data processing and safety-critical software considerations.

Lab 1: Automotive Communication and Middleware

Learning Objectives: Master industry-standard communication protocols and architectural frameworks required for automotive systems.

Tasks:

• • Implement communication nodes using CAN and Automotive Ethernet protocols.

• • Configure SOME/IP services for service-oriented communication between automotive electronic control units (ECUs).

• • Explore the AUTOSAR layered architecture to understand software component abstraction in vehicle systems.

Extension Tasks:

• • Simulate a gateway bridge between CAN-bus and Automotive Ethernet networks.

• • Analyze protocol latency and traffic prioritization within an AUTOSAR-compliant environment.

Lab 2: Sensor Fusion and Functional Safety

Learning Objectives: Integrate multi-modal sensor data and apply functional safety standards to critical decision-making systems.

Tasks:

• • Develop a sensor fusion algorithm to consolidate raw data from multiple inputs (e.g., radar, camera, lidar).

• • Implement basic object and lane detection algorithms to identify environmental hazards.

• • Apply ISO 26262 standards to identify and mitigate safety-critical system faults.

Extension Tasks:

• • Conduct a Failure Mode and Effects Analysis (FMEA) on the sensor fusion pipeline.

• • Implement redundant verification logic to ensure fail-safe operation during sensor degradation.

Project:

The course can include a Mini ADAS Pipeline project, where participants work through high-resolution video ingestion, object and lane detection, and decision logic for safety-critical actions.

Learning Objectives: Integrate hardware communication, environmental sensing, and safety-critical decision-making.

Description: Build a functional “Mini ADAS Pipeline” that processes visual data to detect objects and lanes, culminating in an automated decision engine.

Tasks:

• • Ingestion: Acquire high-resolution video streams via camera interfaces.

• • Perception: Perform real-time object detection and lane marking identification.

• • Decision Engine: Execute safety-critical maneuvers (e.g., braking or steering adjustments) based on the perceived environment.

Coverage Matrix

Assessment

• • Hands-on Exercises: Interactive labs focused on automotive-grade networking and perception algorithms.

• • Quizzes: Knowledge checks integrated throughout the module to validate understanding of safety-critical automotive software requirements.

Learning Outcomes

By the end of the course, participants will understand the structure of automotive software systems, common communication protocols, ADAS data flows and the role of functional safety in software design.

ADAS and Automotive Software Training FAQs