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Obstacle Detection

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May 1, 2024 4 minute read

Obstacle detection involves using sensors and artificial intelligence (AI) to identify and locate obstacles within an environment. These obstacles can be stationary or moving objects, including people, vehicles, and objects in the surroundings. Obstacle detection plays a crucial role in various industries, particularly in robotics, autonomous systems, and transportation.

Why Learn Obstacle Detection?

Individuals may choose to learn about obstacle detection for several reasons. These include:

Curiosity and Knowledge Acquisition: Gaining a deeper understanding of the principles, techniques, and applications of obstacle detection.
Academic Requirements: Fulfilling course requirements or pursuing research projects in robotics, computer science, or related fields.
Career Development: Enhancing professional skills and expertise in autonomous systems, navigation, or object recognition.

Applications of Obstacle Detection

Obstacle detection finds applications in a wide range of industries and domains, including:

Path to Obstacle Detection

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We've curated two courses to help you on your path to Obstacle Detection. Use these to develop your skills, build background knowledge, and put what you learn to practice.

Sorted from most relevant to least relevant:

Lidar Obstacle Detection

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Autonomous Aerospace Systems

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Reading list

We've selected four 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 Detection.

Advances in Intelligent Vehicles

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Presents a comprehensive and systematic study of obstacle detection and avoidance for autonomous vehicles, and covers a wide range of sensors, algorithms, and applications. It emphasizes both theoretical foundations and practical implementation.

Advances in Intelligent Vehicles (Intelligent...

Hardcover

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Advances in Intelligent Vehicles (Intelligent...

Kindle Edition

$$$$

Autonomous mobile robots. 1. Perception, mapping,...

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Pioneered the use of laser and stereo sensors for obstacle detection in the early days of mobile robotics. It is still a relevant reference for the fundamentals of obstacle detection and avoidance.

Autonomous mobile robots. 1. Perception, mapping,...

Paperback

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Autonomous mobile robots. 1. Perception, mapping,...

Kindle Edition

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