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Find a path to becoming a Obstacle Avoidance. Learn more at:
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Reading list
We've selected nine books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Obstacle Avoidance.
Provides a comprehensive overview of obstacle avoidance and path planning for mobile robots. It covers a wide range of topics, from sensor modeling to control algorithms.
Presents fundamentals and algorithms for robot motion planning, including motion planning in presence of obstacles.
Provides a comprehensive overview of planning and control for autonomous vehicles, including obstacle avoidance.
Written by leading experts in autonomous vehicle development, this book presents a systematic approach to real-time obstacle avoidance, covering sensor fusion, path planning, and decision-making.
Presents a comprehensive overview of obstacle avoidance for service robots. It covers topics such as sensor technology, perception algorithms, and control strategies.
Provides a comprehensive treatment of obstacle avoidance and motion planning for mobile robots, covering both theoretical foundations and practical implementation.
Presents a comprehensive overview of obstacle avoidance for autonomous underwater vehicles. It covers topics such as sensor technology, perception algorithms, and control strategies.
Provides a comprehensive review of obstacle avoidance techniques for mobile robots, covering both theoretical concepts and practical implementation considerations.
Focuses on computer vision techniques for obstacle avoidance, providing a detailed understanding of image processing, object recognition, and scene understanding.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/cdj6pf/obstacle