SciTransfer
LiSSA 3D · Project

High-Resolution Low-Cost 3D LiDAR Sensors for Enhanced Vehicle Safety and Autonomous Driving

transportTestedTRL 5

Imagine a camera that doesn't just take a picture, but knows exactly how far away every single point in the image is, down to the size of a fingernail. It uses a special mix of light-timing and phase-shifting to see clearly for 200 meters. This allows a car to spot tiny obstacles far ahead and understand exactly what they are, almost like having a high-definition 3D map updated in real-time.

By the numbers
<1cm
accuracy for a 200m range
200m
detection range
30%
increase in data processing throughput via parallelization
15%
performance accuracy increase via ML models
The business problem

What needed solving

Current LiDAR systems often struggle to balance high resolution and accuracy with high computational costs and hardware prices. This makes it difficult to equip all road vehicles with reliable long-distance object detection.

The solution

What was built

A 3D Solid State Flash LiDAR sensor (LiSSA 3D) and a supporting full-stack software suite including a custom API and ML-enhanced processing algorithms.

Audience

Who needs this

Autonomous vehicle manufacturersADAS (Advanced Driver Assistance Systems) suppliersIndustrial robotics companiesSmart city infrastructure developers
Business applications

Who can put this to work

Automotive Manufacturing
enterprise
Target: Autonomous Vehicle OEM

If you are an autonomous vehicle OEM dealing with the difficulty of detecting small objects at high speeds—this project developed a 3D Solid State Flash LiDAR that provides <1cm accuracy for a 200m range. This ensures safer braking and obstacle avoidance for self-driving fleets.

Logistics and Warehousing
mid-size
Target: AGV (Automated Guided Vehicle) Producer

If you are an AGV producer dealing with high hardware costs and computational lag—this project developed a sensor with low computational effort. This allows for a low-cost implementation of high-resolution (double VGA) spatial awareness in warehouse robots.

Industrial Automation
SME
Target: Smart Factory Equipment Manufacturer

If you are an equipment manufacturer dealing with poor object classification in complex environments—this project developed a multi-spectral approach to cover multiple areas at once. This enables better object classification for safer human-robot collaboration.

Frequently asked

Quick answers

How does this technology affect the final product cost?

The LiSSA 3D system is designed with low computational effort, which enables the innovation to be offered at a low cost.

Is the technology protected by intellectual property?

Yes, Hybrid Lidar Systems has invented a patented hybrid technology (ToF + PV) for determining distances with light.

Can this be scaled for mass production in vehicles?

Based on available project data, the goal is to equip every moving object in road traffic with this sensor technology, suggesting a high-scale commercial ambition.

How does it integrate with existing AI software?

The project developed a full-stack software solution including a custom-built API and backend cloud storage, with ML models (CNNs, transformers) that increased accuracy by up to 15%.

What is the timeline for deployment?

The project period runs from 2023-08-01 to 2025-07-31, indicating the development and validation phase is currently active.

Consortium

Who built it

The project is led by a single German SME, Hybrid Lidar Systems AG. With a 100% industry ratio and no university or research institute partners, the project is highly focused on commercial application and rapid productization rather than academic exploration.

How to reach the team

Contact Hybrid Lidar Systems AG in Germany regarding the LiSSA 3D patented hybrid technology.

Next steps

Talk to the team behind this work.

Contact us to explore licensing opportunities for this patented ToF+PV LiDAR technology.

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