Time of Flight

Time of Flight (ToF) is a measurement technique that calculates the distance between a sensor and an object by measuring the time it takes for a signal (such as light, sound, or radio waves) to travel to the object and back. It is widely used in various technologies, including LiDAR, depth-sensing cameras, and ultrasonic sensors, to enable 3D mapping, gesture recognition, and proximity detection. This principle allows for accurate, real-time distance measurements without physical contact.

Also known as: ToF, Time-of-Flight, Flight Time, Time-of-Flight Measurement, ToF Sensing

Why learn Time of Flight?

Developers should learn Time of Flight when working on projects involving 3D sensing, robotics, augmented reality, or autonomous systems, as it provides precise depth information essential for object detection and spatial awareness. It is particularly useful in applications like gesture-based interfaces, collision avoidance in drones, and indoor navigation, where traditional 2D imaging falls short. Understanding ToF helps in implementing efficient algorithms for processing depth data and integrating with hardware like ToF cameras or sensors.

Learning Resources

• docs: Time-of-Flight Camera - An Introduction
• tutorial: Time of Flight Sensors Explained
• course: Introduction to Time-of-Flight Imaging
• video: Time of Flight Technology in Depth