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Publisher ‏ : ‎ Packt Publishing (August 14, 2020)
Language ‏ : ‎ English
Paperback ‏ : ‎ 332 pages
ISBN-10 ‏ : ‎ 1838646302
ISBN-13 ‏ : ‎ 978-1838646301
Item Weight ‏ : ‎ 1.28 pounds
Dimensions ‏ : ‎ 9.25 x 7.52 x 0.7 inches

In this post, we will explore the fascinating world of self-driving cars and how deep learning and computer vision are revolutionizing the automotive industry. By applying cutting-edge techniques such as deep neural networks and behavior-cloning, developers can now build autonomous vehicles that can navigate complex environments with ease.

Deep learning is a subset of artificial intelligence that mimics the way the human brain works, allowing machines to learn from data and make decisions without being explicitly programmed. In the context of self-driving cars, deep learning algorithms can analyze sensor data such as images, lidar, and radar to recognize objects, pedestrians, and road signs, enabling the vehicle to understand its surroundings and make intelligent decisions.

Computer vision is another crucial technology for self-driving cars, as it enables the vehicle to “see” and interpret its environment in real-time. By using cameras and other sensors, computer vision algorithms can detect lane markings, traffic lights, and obstacles on the road, allowing the autonomous vehicle to navigate safely and efficiently.

Behavior cloning is a technique that involves training a neural network to mimic the behavior of a human driver. By collecting data from human drivers and using it to train the neural network, developers can teach the autonomous vehicle how to drive like a human, making it more intuitive and adaptive in real-world scenarios.

By combining deep learning and computer vision with behavior-cloning techniques, developers can create self-driving cars that are capable of navigating complex environments, making split-second decisions, and ensuring the safety of passengers and pedestrians. The future of transportation is bright, and with the power of deep learning and computer vision, we are one step closer to achieving fully autonomous vehicles on our roads.
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