Meta platforms technologies, llc (20240331320). Environment Model With Surfaces And Per-Surface Volumes simplified abstract

Environment Model With Surfaces And Per-Surface Volumes

Organization Name

meta platforms technologies, llc

Inventor(s)

Yuichi Taguchi of Los Gatos CA (US)

Fabian Langguth of Zürich (CH)

Environment Model With Surfaces And Per-Surface Volumes - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240331320 titled 'Environment Model With Surfaces And Per-Surface Volumes

Simplified Explanation: This patent application describes a method that involves processing sensor data to create virtual surfaces and point clouds representing objects in a scene. These virtual surfaces are then used to generate occupancy volumes and spatial relationships, which can be queried for specific information.

• Key Features and Innovation:

   - Receiving sensor data of a scene captured using one or more sensors.
   - Generating virtual surfaces representing detected planar surfaces in the scene.
   - Creating a point cloud representing detected features of objects in the scene.
   - Assigning points in the point cloud to virtual surfaces.
   - Generating occupancy volumes for each virtual surface based on assigned points.
   - Storing data including virtual surfaces, occupancy volumes, and spatial relationships.
   - Responding to queries by identifying virtual surfaces that satisfy the query.

• Potential Applications:

This technology could be used in various fields such as robotics, autonomous vehicles, augmented reality, and virtual reality for scene understanding and object detection.

• Problems Solved:

This technology addresses the need for efficient processing of sensor data to understand complex scenes and objects within them.

• Benefits:

The method provides a structured way to analyze and interpret sensor data, leading to improved decision-making and situational awareness in various applications.

• Commercial Applications:

Title: Advanced Scene Understanding Technology for Robotics and Autonomous Systems This technology can be applied in industries such as autonomous vehicles, surveillance systems, industrial automation, and smart cities for enhanced perception and navigation capabilities.

• Prior Art:

To find prior art related to this technology, researchers can explore patents and research papers in the fields of computer vision, machine learning, and sensor data processing.

• Frequently Updated Research:

Researchers in the fields of computer vision and robotics are constantly working on improving scene understanding algorithms and sensor fusion techniques, which could be relevant to this technology.

Questions about Scene Understanding Technology: 1. How does this technology improve the efficiency of processing sensor data in complex scenes? 2. What are the potential limitations of using virtual surfaces for object detection and scene understanding?

Original Abstract Submitted

in one embodiment, a method includes receiving sensor data of a scene captured using one or more sensors, generating (1) a number of virtual surfaces representing a number of detected planar surfaces in the scene and (2) a point cloud representing detected features of objects in the scene based on the sensor data, assigning each point in the point cloud to one or more of the number of virtual surfaces, generating occupancy volumes for each of the number of virtual surfaces based on the points assigned to the virtual surface, generating a datastore including the number of virtual surfaces, the occupancy volumes of each of the number of virtual surfaces, and a spatial relationship between the number of virtual surfaces, receiving a query, and sending a response to the query, the response including an identified subset of the plurality of virtual surfaces in the datastore that satisfy the query.