Industry Briefing

A single destination for timely, editor-curated robotics news from around the world.

Gaussian Splatting Meets Photogrammetry: SimActive Integrates New Capability in Correlator3D

Gaussian Splatting Meets Photogrammetry: SimActive Integrates New Capability in Correlator3D

Gaussian splatting, a cutting-edge technique in 3D reconstruction, has gained significant attention for its ability to produce highly realistic and smooth-rendered scenes. This development has prompted discussions within the geospatial industry regarding its potential to extend beyond mere visualization and enhance real-world mapping workflows. In response to this growing interest, SimActive has integrated Gaussian splatting capabilities into its Correlator3D software. This integration aims to leverage the advantages of the technique to improve photogrammetry processes, thereby facilitating more accurate and efficient mapping solutions. The announcement highlights the ongoing evolution of technology in the geospatial field and its implications for practical applications.

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POp-GS: Next best view in 3D-Gaussian splatting with P-Optimality

POp-GS: Next best view in 3D-Gaussian splatting with P-Optimality

Researchers have developed a new algorithm aimed at enhancing the capabilities of 3D Gaussian Splatting (3D-GS) by quantifying uncertainty and information gain through a method known as P-Optimality. This advancement addresses a significant limitation of 3D-GS, which, despite its effectiveness in producing high-quality rasterizations, lacks the ability to measure uncertainty and information. This deficiency presents challenges for practical applications, particularly in the field of 3D-GS Simultaneous Localization and Mapping (SLAM). The team’s innovative approach seeks to improve the reliability and applicability of 3D-GS in real-world scenarios by providing a systematic way to assess information gain, thereby enhancing its utility in various technological applications. The findings were detailed in a recent paper, contributing to the ongoing development of more sophisticated modeling techniques in three-dimensional environments.

Computer vision
Niantic Spatial adds USDZ export to Scaniverse to streamline robotics simulation workflows

Niantic Spatial adds USDZ export to Scaniverse to streamline robotics simulation workflows

Niantic Spatial has launched USDZ export for its Scaniverse app, enabling robotics developers to convert real-world environments into simulation-ready digital twins for use with Nvidia Isaac Sim. The new capability is designed to help address the long-standing “sim-to-real” gap in robotics, where systems trained in synthetic environments often struggle when deployed in complex, real-world settings. […]

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