17804744. SYSTEM AND METHOD FOR GENERATING MULTI-RESOLUTION VOXEL SPACES simplified abstract (Zoox, Inc.)

SYSTEM AND METHOD FOR GENERATING MULTI-RESOLUTION VOXEL SPACES

Organization Name

Zoox, Inc.

Inventor(s)

Hirotatsu Armstrong of Las Vegas NV (US)

Patrick Blaes of Redwood City CA (US)

Michael Carsten Bosse of Templeton CA (US)

Jeffrey Eric Tolliver of San Mateo CA (US)

SYSTEM AND METHOD FOR GENERATING MULTI-RESOLUTION VOXEL SPACES - A simplified explanation of the abstract

This abstract first appeared for US patent application 17804744 titled 'SYSTEM AND METHOD FOR GENERATING MULTI-RESOLUTION VOXEL SPACES

Simplified Explanation

The patent application discusses techniques for representing a scene or map based on statistical data of captured environmental data. Here is a simplified explanation of the abstract:

• Data such as covariance data, mean data, or similar may be stored as a multi-resolution voxel space with semantic layers.
• Individual semantic layers may consist of multiple voxel grids with varying resolutions.
• Multiple multi-resolution voxel spaces can be merged or aligned to create combined scenes based on detected voxel covariances at different resolutions.

Potential Applications

This technology could be applied in various fields such as:

• Environmental monitoring
• Urban planning
• Augmented reality
• Autonomous driving systems

Problems Solved

This technology helps in:

• Efficiently representing complex environmental data
• Creating detailed and accurate maps or scenes
• Merging multiple data sources seamlessly

Benefits

The benefits of this technology include:

• Improved visualization of environmental data
• Enhanced decision-making based on statistical analysis
• Increased accuracy in mapping and scene representation

Potential Commercial Applications

Potential commercial applications of this technology could include:

• GIS software development
• Remote sensing technology
• Robotics and autonomous systems

Possible Prior Art

One possible prior art could be the use of voxel-based representations in computer graphics and simulation applications. Another could be the use of statistical data in mapping and environmental analysis tools.

How does this technology handle real-time data updates?

The patent application does not specifically address how real-time data updates are managed and integrated into the multi-resolution voxel spaces. This aspect could be crucial for applications requiring up-to-date information.

What computational resources are required to process and merge multiple voxel spaces?

The patent application does not provide details on the computational resources needed to process and merge multiple voxel spaces. Understanding the computational requirements can help in assessing the scalability and efficiency of the technology.

Original Abstract Submitted

Techniques for representing a scene or map based on statistical data of captured environmental data are discussed herein. In some cases, the data (such as covariance data, mean data, or the like) may be stored as a multi-resolution voxel space that includes a plurality of semantic layers. In some instances, individual semantic layers may include multiple voxel grids having differing resolutions. Multiple multi-resolution voxel spaces may be merged or aligned to generate combined scenes based on detected voxel covariances at one or more resolutions.