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NeRF-based algorithm for localization

Listing Description

Result description

This innovation integrates high-quality implicit 3D representation into both training data augmentation and test-time optimization, combined with CNN regression for fast initial estimates. Requires only single RGB camera, works in GPS-denied, indoor, outdoor and visually complex environments.

Addressing target audiences and expressing needs

Our needs are
  • Collaboration
We specifically need / are looking for

Collaboration with other research centers and universities to further advance this technology.

Target audiences
  • Research and Technology Organisations
  • Academia/ Universities

R&D, Technology and Innovation aspects

Current stage description

Continue the research to further advance the technology.

Replicability

The published results are fully reproducible using the provided source code available at https://github.com/VCL3D/HAL-NeRF

Result submitted to Horizon Results Platform by ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS

Offer Details

Specifications and Deliverables:

Value Proposition:

Global localization without pose initialization in GPS-denied environments.

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Adress:

CHARILAOU THERMI ROAD 6 KM
THERMI THESSALONIKI
Central Macedonia
570 01
Greece

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