Multisensor

A multisensor system in annotation refers to the use of multiple types of sensors to collect diverse data about the same scene or object, which is then annotated for tasks like AI training, computer vision, robotics, or autonomous systems. This approach helps provide a richer, more accurate understanding of the environment than using a single sensor type. Here’s a detailed breakdown:

What is a Multisensor System?

A multisensor system combines data from different sensor types, such as:

  • RGB Cameras – capture color images (visual context).

  • LiDAR (Light Detection and Ranging) – provides 3D point clouds for depth and distance.

  • Infrared/Thermal Cameras – capture heat signatures, useful for night or low-visibility conditions.

  • Radar – measures distance and velocity, especially in adverse weather.

  • Ultrasonic Sensors – detect close-range objects.

  • GPS/IMU Sensors – provide positional and movement data for georeferencing.

By fusing these sensor inputs, a multisensor system can create a comprehensive representation of the environment.



Applications

  • Autonomous Vehicles: Annotating road scenes using LiDAR, camera, radar, and GPS to detect cars, pedestrians, lanes, and obstacles.

  • Surveillance & Security: Fusing thermal, RGB, and infrared to annotate people or suspicious activities in different lighting.

  • Agriculture: Combining RGB, multispectral, and LiDAR sensors to annotate crop health, terrain, and irrigation systems.

  • Robotics: Annotating 3D maps of indoor/outdoor environments for navigation and obstacle avoidance.