This company provides a software platform, AVES Launcher, for the automated generation of georeferenced 3D digital twin worlds from geospatial data. The platform creates simulation-ready, semantically labeled 3D maps incorporating terrain, HD-roadmaps in ASAM OpenDRIVE format, and immersive 3D mesh models. This enables faster, cost-efficient simulation and visualization workflows for industries like automotive, smart city planning, and defense.
Funding
Funding not disclosed
CFounders
Product
Problem
Creating realistic 3D environments for autonomous vehicle simulation and training is traditionally a time-consuming and expensive process, often requiring manual design and lacking precise geo-referencing. This limits the scalability and accuracy of virtual testing, hindering the development and validation of autonomous systems.
Solution
AVES Reality automates the generation of geo-referenced, photorealistic 3D maps from satellite and aerial imagery, providing scalable virtual environments for simulation and training. Their AI-driven software understands the earth's surface and translates these insights into accurate 3D models, incorporating real-world semantics and materials. The resulting 3D world twins look and behave like real-life locations, offering a safe and realistic space for autonomous vehicle and sensor system development. The AVES Launcher software allows users to create and export these environments natively to Unreal Engine 5.
Target Audience
The primary target audience includes autonomous vehicle developers, ADAS system providers, and automotive OEMs requiring high-fidelity simulation environments for testing and validation.
Features
- AI-powered 3D environment generation from satellite imagery
- Procedural generation of roads, buildings, and scenery
- Geo-referencing for accurate real-world representation
- Support for Hardware-in-the-Loop (HIL) and Software-in-the-Loop (SIL) testing
- Native export to Unreal Engine 5
- Compliance with the ASAM OpenDRIVE standard for road network definition