Electronic Control Unit (ECU) - Theoretical Vector Training Course

Facilitated by an expert, this live training in Serbia (online or in person) is designed for advanced robotics engineers and AI specialists who aim to deploy complex path planning algorithms to improve the functionality of autonomous vehicles.

Upon completion of this program, attendees will be capable of:

• Gaining a deep understanding of the theoretical basis behind advanced path planning algorithms.
• Deploying algorithms like RRT*, A*, and D* for real-time navigation tasks.
• Refining path planning processes to manage obstacle avoidance and dynamic environments effectively.
• Combining path planning algorithms with sensor inputs to boost precision.
• Assessing the performance of different algorithms within real-world contexts.

This instructor-led, live training session in Serbia (online or onsite) is designed for advanced data scientists, AI specialists, and automotive AI developers who aim to construct, train, and optimize AI models for autonomous driving applications.

By the conclusion of this training, participants will be able to:

• Comprehend the fundamentals of AI and deep learning within the context of autonomous vehicles.
• Implement computer vision techniques for real-time object detection and lane following.
• Utilize reinforcement learning for decision-making in self-driving systems.
• Integrate sensor fusion techniques for better perception and navigation.
• Build deep learning models to predict and analyze driving scenarios.

AUTOSAR (AUTomotive Open System ARchitecture) is a global collaborative effort involving automotive manufacturers, suppliers, and tool developers, dedicated to standardizing the software architecture for automotive electronic control units (ECUs).

This instructor-led live training, available either online or onsite, targets intermediate to advanced automotive software developers who aim to design, develop, and integrate software leveraging both AUTOSAR Classic and Adaptive platforms, with a specific emphasis on ADAS (Advanced Driver Assistance Systems).

Upon completion of this training, participants will be capable of:

• Grasping the AUTOSAR Classic and Adaptive architectures and identifying their primary distinctions.
• Developing and configuring automotive software components using tools that comply with AUTOSAR standards.
• Integrating and testing ADAS software components within AUTOSAR Adaptive environments.
• Implementing best practices for safety, security, and performance optimization in automotive systems.

Course Format

• Interactive lectures and discussions.
• Practical exercises utilizing industry-standard AUTOSAR tools.
• Project-based learning coupled with simulations of automotive use cases.

Customization Options

• For tailored training sessions, please reach out to us to make arrangements.

This instructor-led, live training in Serbia (online or onsite) is primarily aimed at engineers who wish to use Autosar to design automotive components.

By the end of this training, participants will be able to:

• Install and configure Autosar.
• Set up a workflow.
• Navigate smoothly in the Autosar environment.
• Work efficiently.

This instructor-led live training (available online or onsite) is designed for intermediate-level embedded software developers and automotive engineers who want to utilize the AUTOSAR Classic Platform to develop, integrate, and test standardized software components for electronic control units (ECUs).

Upon completion of this training, participants will be able to:

Install and configure AUTOSAR development tools (e.g., DaVinci Developer, EB Tresos, or ETAS ISOLAR-A/B).

Comprehend the AUTOSAR layered architecture and basic software modules (BSW).

Design and implement the AUTOSAR operating system (OS) and communication stack (COM stack).

Utilize CANoe or similar tools for simulation, testing, and diagnostics within an AUTOSAR environment.

This instructor-led, live training (available online or onsite) targets intermediate-level embedded software developers and automotive engineers seeking to grasp and configure the AUTOSAR OS (rooted in OSEK/VDX) and the COM Stack. The course enables reliable task scheduling and communication within automotive ECUs.

Upon completing this training, participants will be capable of:

• Grasping the AUTOSAR OS architecture and scheduling policies
• Implementing and managing tasks, events, alarms, and counters
• Describing and configuring COM Stack layers, such as PDUR and communication services
• Explaining protocol stacks (CAN, LIN, FlexRay, Ethernet) and AUTOSAR integration with them
• Configuring OS and COM modules using industry-standard tools (Vector DaVinci or ETAS ISOLAR)
• Simulating and validating task and communication flow in an AUTOSAR-based ECU

This instructor-led, live training in Serbia (online or onsite) is aimed at advanced-level safety engineers and automotive safety professionals who wish to develop comprehensive safety strategies for autonomous vehicles, including hazard analysis, functional safety assessments, and compliance with international standards.

By the end of this training, participants will be able to:

• Identify and assess safety risks associated with autonomous driving systems.
• Conduct hazard analysis and risk assessment using industry standards.
• Implement safety validation and verification methods for AV systems.
• Apply functional safety standards, such as ISO 26262 and SOTIF.
• Develop risk mitigation strategies for AV safety challenges.

This instructor-led, live training in Serbia (online or onsite) is aimed at intermediate-level AI developers and computer vision engineers who wish to build robust vision systems for autonomous driving applications.

By the end of this training, participants will be able to:

• Understand the fundamental concepts of computer vision in autonomous vehicles.
• Implement algorithms for object detection, lane detection, and semantic segmentation.
• Integrate vision systems with other autonomous vehicle subsystems.
• Apply deep learning techniques for advanced perception tasks.
• Evaluate the performance of computer vision models in real-world scenarios.

This instructor-led live training in Serbia (online or onsite) is tailored for engineers and scientists who aim to learn and apply DSP implementations to efficiently manage different signal types and gain better control over multi-channel electronic systems.

By the end of this training, participants will be able to:

• Set up and configure the necessary software platform and tools for Digital Signal Processing.
• Understand the concepts and principles that are foundational to DSP and its applications.
• Familiarize themselves with DSP components and employ them in electronics systems.
• Generate algorithms and operational functions using the results from DSP.
• Utilize the basic features of DSP software platforms and design signal filters.
• Synthesize DSP simulations and implement various types of filters for DSP.

This instructor-led, live training in Serbia (online or onsite) is designed for beginners in the field who want to investigate the ethical dilemmas and legal structures surrounding autonomous vehicles.

By the conclusion of this training, participants will be able to:

• Grasp the ethical implications of AI-driven decision-making in autonomous vehicles.
• Analyze international legal frameworks and policies governing self-driving cars.
• Examine liability and accountability in cases of autonomous vehicle accidents.
• Assess the balance between innovation and public safety in autonomous driving laws.
• Discuss real-world case studies involving ethical dilemmas and legal disputes.

This instructor-led, live training in Serbia (available online or onsite) is aimed at intermediate-level professionals who wish to gain a comprehensive understanding of EV powertrain architectures, battery chemistry, battery management systems (BMS), and the factors affecting energy efficiency in electric vehicles.

By the end of this training, participants will be able to:

• Understand the structure and function of EV powertrains.
• Analyze different battery chemistries and their applications in EVs.
• Implement battery management techniques to enhance performance and safety.
• Evaluate energy efficiency in various EV configurations.

This instructor-led, live training in Serbia (online or onsite) is aimed at beginner-level professionals and enthusiasts who wish to understand the fundamental concepts, technologies, and applications of autonomous vehicles.

By the end of this training, participants will be able to:

• Understand the key components and working principles of autonomous vehicles.
• Explore the role of AI, sensors, and real-time data processing in self-driving systems.
• Analyze different levels of vehicle autonomy and their real-world applications.
• Examine the ethical, legal, and regulatory aspects of autonomous mobility.
• Gain hands-on exposure to autonomous vehicle simulations.

This instructor-led, live training in Serbia (online or onsite) is aimed at advanced-level sensor fusion specialists and AI engineers who wish to develop multi-sensor fusion algorithms and optimize real-time navigation in autonomous systems.

By the end of this training, participants will be able to:

• Understand the fundamentals and challenges of multi-sensor data fusion.
• Implement sensor fusion algorithms for real-time autonomous navigation.
• Integrate data from LiDAR, cameras, and RADAR for perception enhancement.
• Analyze and evaluate fusion system performance under various conditions.
• Develop practical solutions for sensor noise reduction and data alignment.

This instructor-led, live training in Serbia (online or onsite) is designed for intermediate-level engineers, automotive professionals, and IoT specialists who want to understand the role of sensors in self-driving cars, covering LiDAR, radar, cameras, and sensor fusion techniques.

By the end of this training, participants will be able to:

• Understand the different types of sensors used in autonomous vehicles.
• Analyze sensor data for real-time vehicle perception and decision-making.
• Implement sensor fusion techniques to improve vehicle accuracy and safety.
• Optimize sensor placement and calibration for enhanced autonomous driving performance.

This instructor-led, live training in Serbia (online or onsite) is designed for intermediate-level network engineers and automotive IoT developers who wish to understand and implement V2X communication technologies for autonomous vehicles.

Upon completing this training, participants will be equipped to:

• Grasp the core concepts of V2X communication.
• Evaluate V2V, V2I, V2P, and V2N communication models.
• Implement V2X protocols, including DSRC and C-V2X.
• Create simulations for connected vehicle environments.
• Tackle cybersecurity and privacy issues within V2X networks.