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Self Driving explores the fascinating technologies behind autonomous vehicles, focusing on how these cars perceive their surroundings, make decisions, and control their movements. The book explains how sensors like LiDAR, radar, and cameras act as the car's ""eyes,"" feeding data to sophisticated algorithms and artificial intelligence that plan routes and react to changing conditions.
Interestingly, the development of self-driving cars dates back to the mid-20th century, with today's advancements promising reduced accidents and increased mobility, while also raising ethical questions about job displacement and algorithmic bias.
The book adopts a structured approach, beginning with core concepts and a historical overview before diving into the three key areas: perception, decision-making, and control systems. Each section examines underlying principles, current challenges, and future research directions, using case studies and expert interviews to enhance understanding. By integrating these technologies, autonomous vehicles aim to navigate our world safely and efficiently.
Interestingly, the development of self-driving cars dates back to the mid-20th century, with today's advancements promising reduced accidents and increased mobility, while also raising ethical questions about job displacement and algorithmic bias.
The book adopts a structured approach, beginning with core concepts and a historical overview before diving into the three key areas: perception, decision-making, and control systems. Each section examines underlying principles, current challenges, and future research directions, using case studies and expert interviews to enhance understanding. By integrating these technologies, autonomous vehicles aim to navigate our world safely and efficiently.
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