Executive Development Programme in Automated Driving: Frontiers

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The Executive Development Programme in Automated Driving: Frontiers is a certificate course designed to equip learners with essential skills for career advancement in the rapidly evolving field of automated driving. This programme is crucial in today's industry, where automated driving technology is becoming increasingly important in transportation and mobility solutions.

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The course covers the latest advancements in automated driving, including sensors, perception, localization, and decision-making algorithms. Learners will gain a deep understanding of the technical and business aspects of automated driving, making them well-prepared for leadership roles in this field. With a focus on practical applications, the programme includes real-world case studies, hands-on exercises, and group projects. This approach ensures that learners not only understand the theory behind automated driving but also have the opportunity to apply their knowledge in real-world scenarios. Upon completion of the course, learners will have a comprehensive understanding of automated driving technology and its applications, making them highly sought after by employers in the automotive and technology industries.

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โ€ข Introduction to Automated Driving: Overview of automated driving technology, trends, and market potential. Understanding the levels of automation and their implications.
โ€ข Sensors and Perception in Automated Driving: Exploring the different types of sensors used in automated driving and their roles in environment perception. Object detection, classification, and tracking.
โ€ข Localization and Mapping for Automated Driving: Overview of mapping technologies and localization techniques, including SLAM, for precise positioning of vehicles.
โ€ข Planning and Control in Automated Driving: Behavior and motion planning, decision-making strategies, and control algorithms for automated driving systems.
โ€ข Connectivity and V2X (Vehicle-to-Everything) Communications: Introduction to DSRC and C-V2X technologies, use cases, and their impact on automated driving safety and efficiency.
โ€ข Artificial Intelligence and Machine Learning in Automated Driving: Implementation of AI and ML techniques for perception, prediction, and decision-making in automated driving systems.
โ€ข Cybersecurity for Automated Driving: Overview of cybersecurity threats, challenges, and best practices for automated driving systems.
โ€ข Functional Safety and Regulations in Automated Driving: Functional safety concepts, guidelines, and regulatory frameworks for automated driving. ISO 26262, UL 4600, and others.
โ€ข Ethics and Society in Automated Driving: Examination of ethical considerations, societal impact, and human-machine interaction in automated driving systems.

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ใ‚ตใƒณใƒ—ใƒซ่จผๆ˜Žๆ›ธใฎ่ƒŒๆ™ฏ
EXECUTIVE DEVELOPMENT PROGRAMME IN AUTOMATED DRIVING: FRONTIERS
ใซๆŽˆไธŽใ•ใ‚Œใพใ™
ๅญฆ็ฟ’่€…ๅ
ใงใƒ—ใƒญใ‚ฐใƒฉใƒ ใ‚’ๅฎŒไบ†ใ—ใŸไบบ
London College of Foreign Trade (LCFT)
ๆŽˆไธŽๆ—ฅ
05 May 2025
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