If you are an earthmoving equipment manufacturer dealing with safety risks in autonomous digging — this project developed a 3D perception system that prevents measurement failures caused by camera misalignments of less than 1 mm.
High-Precision 3D Vision System for Safe Autonomous Industrial Vehicle Operation
Imagine a car's eyes that don't get confused even if the cameras shift by a tiny hair's width. Most self-driving systems fail if a camera moves just 1 mm, but this tech uses special math and wide-angle lenses to keep seeing perfectly. It creates a full 360-degree map of the surroundings so heavy machinery can move without hitting anything.
What needed solving
Standard autonomous vehicle sensors fail when cameras shift by less than 1 mm, creating dangerous safety gaps. This makes industrial automation unreliable and expensive to maintain.
What was built
A 360-degree 3D perception system (COP) using fisheye cameras and embedded hardware. It includes proprietary KIEV and RubberStereo algorithms for depth and motion processing.
Who needs this
Who can put this to work
If you are an AGV fleet operator dealing with navigation errors in warehouses — this project developed a 360 FoV sensing system that ensures gap-free measurements for safer vehicle movement.
If you are a material handling machinery producer dealing with expensive sensor recalibration — this project developed the COP system that uses proprietary algorithms to maintain high-level 3D spatial awareness.
Quick answers
What is the cost or pricing model for this system?
Based on available project data, specific pricing or cost structures are not disclosed.
Can this be scaled to a full industrial fleet?
The project focused on transitioning algorithms to embedded hardware and creating a 360 FoV system, which are key steps for industrial scaling.
What intellectual property or licensing is involved?
The system relies on proprietary algorithms named KIEV and RubberStereo to enable the Circular Optical Perception (COP).
How does this integrate with existing vehicle hardware?
The system is designed to be integrated into industrial machines using embedded computing platforms and fisheye cameras.
What is the timeline for market availability?
The project period runs from 2023-03-01 to 2026-02-28, indicating the development and testing phase is currently active.
Who built it
The project is led by a single German SME, Tripleye GmbH. With a 100% industry ratio and no university or research institute partners, the project is purely commercially driven and focused on direct industrial application.
Contact Tripleye GmbH in Germany
Talk to the team behind this work.
Contact us to explore licensing the KIEV and RubberStereo algorithms for your fleet.