Electronic Control Unit (ECU) - Theoretical Vector Training Course

This instructor-led, live training in South Africa (online or onsite) is aimed at advanced-level robotics engineers and AI researchers who wish to implement sophisticated path planning algorithms to enhance autonomous vehicle performance.

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

• Understand the theoretical foundations of advanced path planning algorithms.
• Implement algorithms such as RRT*, A*, and D* for real-time navigation.
• Optimize path planning for obstacle avoidance and dynamic environments.
• Integrate path planning algorithms with sensor data for enhanced accuracy.
• Evaluate the performance of various algorithms in practical scenarios.

This instructor-led, live training in South Africa (online or onsite) is aimed at advanced-level data scientists, AI specialists, and automotive AI developers who wish to build, train, and optimise AI models for autonomous driving applications.

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

• Understand the fundamentals of AI and deep learning in the context of autonomous vehicles.
• Implement computer vision techniques for real-time object detection and lane following.
• Utilise 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 analyse driving scenarios.

AUTOSAR (AUTomotive Open System ARchitecture) is a global development partnership comprising automotive manufacturers, suppliers, and tool developers that standardises software architecture for automotive electronic control units (ECUs).

This instructor-led, live training (available online or onsite) is designed for intermediate to advanced automotive software developers who wish to design, develop, and integrate software using AUTOSAR Classic and Adaptive platforms, with a specific focus on ADAS (Advanced Driver Assistance Systems).

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

• Understand AUTOSAR Classic and Adaptive architectures and their key differences.
• Develop and configure automotive software components using AUTOSAR-compliant tools.
• Integrate and test ADAS software components within AUTOSAR Adaptive environments.
• Apply best practices in safety, security, and performance optimization for automotive systems.

Format of the Course

• Interactive lecture and discussion.
• Hands-on practice with industry-standard AUTOSAR tools.
• Project-based learning and simulation of automotive use cases.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This instructor-led live training in South Africa (online or onsite) is primarily aimed at engineers who wish to utilise AUTOSAR to design automotive components.

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

• Install and configure AUTOSAR.
• Establish a workflow.
• Navigate the AUTOSAR environment with ease.
• Work efficiently.

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

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

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

Comprehend the AUTOSAR layered architecture and Basic Software modules (BSW).

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

Utilise CANoe or comparable tools for simulation, testing, and diagnostics within an AUTOSAR environment.

This instructor-led, live training (available online or onsite) is designed for intermediate-level embedded software developers or automotive engineers who want to understand and configure AUTOSAR OS (based on OSEK/VDX) and the COM Stack to facilitate reliable task scheduling and communication in automotive ECUs.

Upon completing this training, participants will be able to:

• Grasp the AUTOSAR OS architecture and scheduling policies
• Implement and manage tasks, events, alarms, and counters
• Describe and configure the COM Stack layers, including PDUR and communication services
• Explain protocol stacks (CAN, LIN, FlexRay, Ethernet) and how AUTOSAR interfaces with them
• Configure OS and COM modules using industry tools (Vector DaVinci or ETAS ISOLAR)
• Simulate and validate task and communication flow in an AUTOSAR-based ECU

This instructor-led, live training in South Africa (online or onsite) is designed for advanced safety engineers and automotive safety professionals who wish to develop robust safety strategies for autonomous vehicles. The content includes hazard analysis, functional safety assessments, and compliance with international standards.

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

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

This instructor-led, live training in South Africa (online or on-site) 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 South Africa (online or onsite) is designed for engineers and scientists who aim to learn and apply DSP implementations to efficiently manage various signal types and achieve superior control over multi-channel electronic systems.

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

• Setting up and configuring the necessary software platforms and tools for Digital Signal Processing.
• Gaining a comprehensive understanding of the foundational concepts and principles underlying DSP and its applications.
• Becoming familiar with DSP components and utilising them effectively within electronic systems.
• Generating algorithms and operational functions based on DSP outcomes.
• Utilising core features of DSP software platforms to design signal filters.
• Synthesising DSP simulations and implementing diverse filter types for DSP applications.

This instructor-led, live training in South Africa (online or onsite) is designed for professionals at the beginner level who wish to explore the ethical dilemmas and legal frameworks surrounding autonomous vehicles.

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

• Understand the ethical implications of AI-driven decision-making in autonomous vehicles.
• Analyze global legal frameworks and policies regulating self-driving cars.
• Examine liability and accountability in the event of autonomous vehicle accidents.
• Evaluate 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 South Africa (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.
• Analyse 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 South Africa (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 South Africa (online or onsite) is aimed at advanced-level sensor fusion specialists and AI engineers who wish to develop multi-sensor fusion algorithms and optimise 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.
• Analyse and evaluate fusion system performance under various conditions.
• Develop practical solutions for sensor noise reduction and data alignment.

This instructor-led, live training in South Africa (online or onsite) is aimed at intermediate-level engineers, automotive professionals, and IoT specialists who wish 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 South Africa (online or on-site) is aimed at intermediate-level network engineers and automotive IoT developers who wish to understand and implement V2X communication technologies for autonomous vehicles.

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

• Understand the fundamental concepts of V2X communication.
• Analyse V2V, V2I, V2P, and V2N communication models.
• Implement V2X protocols such as DSRC and C-V2X.
• Develop simulations for connected vehicle environments.
• Address cybersecurity and privacy challenges in V2X networks.