Executive Development Programme in Self-Driving Technologies: Mastery Achieved

• Fundamentals of Self-Driving Technologies: Introduction to primary components, systems, and functions of self-driving vehicles.
• Sensors and Perception: Exploration of sensors used in self-driving technology, including cameras, Lidar, Radar, and Sonar, and data processing techniques for object detection and environment understanding.
• Localization and Mapping: Understanding SLAM (Simultaneous Localization and Mapping) algorithms, 3D maps, and high-definition map creation for precise vehicle localization.
• Path Planning and Decision Making: Learning algorithms for optimal route planning, decision making, and motion prediction in complex driving scenarios.
• Control Systems and Vehicle Automation: Study of control systems, actuators, and vehicle dynamics, enabling automated driving functions and advanced driver-assistance systems (ADAS).
• Connectivity and Intelligent Transportation Systems: Overview of vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I), and vehicle-to-everything (V2X) communication, and their role in enhancing self-driving technology.
• Ethics and Regulations in Autonomous Vehicles: Examination of ethical considerations, global regulations, and safety standards for self-driving vehicles.
• Cybersecurity and Data Privacy: Best practices and strategies for ensuring cybersecurity and data privacy in self-driving technologies.
• Emerging Trends and Future Developments: Exploration of cutting-edge research, future trends, and industry developments in self-driving technologies.