What are the differences between TOF sensor and LiDAR application scenarios?

While both LiDAR and ToF sensors use laser light to measure distance, LiDAR is typically used for larger-scale applications that require higher accuracy and precision, such as autonomous vehicles and robotics, while ToF sensors are more commonly used in consumer electronics for things like autofocus and gesture recognition.
LiDAR and ToF sensors have a variety of applications in different industries and fields. Here are some examples:

Applications of LiDAR:
Autonomous Vehicles: LiDAR sensors are used in self-driving cars to create a 3D map of the environment, which helps the car navigate and avoid obstacles.
Robotics: LiDAR sensors are used in robotics to create maps of environments for navigation, object recognition, and obstacle avoidance.
Surveying: LiDAR is used in land surveying to create high-resolution, 3D maps of terrain, buildings, and infrastructure.
Forestry: LiDAR is used in forestry to map and measure tree height, volume, and density.

Applications of ToF sensors:
Consumer Electronics: ToF sensors are used in smartphones, tablets, and cameras for autofocus, gesture recognition, and augmented reality applications.
Gaming: ToF sensors can be used in gaming to capture user movements and enable more immersive gameplay experiences.
Retail: ToF sensors can be used in retail environments to measure foot traffic and analyze customer behavior.
Security: ToF sensors can be used in security applications to detect the presence of people or objects in restricted areas.
These are just a few examples of the many different applications of LiDAR and ToF sensors. As the technology continues to advance, we can expect to see even more innovative applications emerge in the future.

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