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S. Praveena is associated with Mahatma Gandhi Institute of Technology, India. Her contribution focuses on computer vision, deep learning, and autonomous systems.
Autonomous systems are sophisticated machines that can sense their surroundings, analyse sensory data, make choices, and execute tasks with minimal or no human involvement. Computer vision and deep learning represent two of the paramount technologies facilitating this autonomy. Cameras and various visual sensors offer extensive environmental insights, but deep learning techniques convert unprocessed visual data into significant representations for object detection, semantic comprehension, localisation, tracking, and decision-making. These functionalities are crucial for self-driving cars, drones, mobile automatons, industrial machinery, smart surveillance systems, agricultural automatons, and service robots. This section offers an extensive examination of computer vision and deep learning methodologies for autonomous systems.The section additionally addresses edge AI, instantaneous inference, interpretable AI, adversarial resilience, safety, cybersecurity, obstacles, and prospective research trajectories.