Next Generation LiDAR for Automotive and Industrial Use Cases
Sector: Solar • Location: Germany
Source: EU Funding & Tenders Portal
Hybrid Lidar Systems has invented a patented hybrid technology (ToF + PV) for determining distances with light, which has enabled us to develop LiSSA 3D Lidar, the next generation of 3D Solid State Flash LiDAR sensors for enhanced driving safety. LiSSA (Lidar for Smart Sensing and Automotive) represents a revolutionary LIDAR approach, which not only provides a high resolution (double VGA) but
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | ended |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | Hybrid Lidar Systems has invented a patented hybrid technology (ToF + PV) for determining distances with light, which has enabled us to develop LiSSA 3D Lidar, the next generation of 3D Solid State Flash LiDAR sensors for enhanced driving safety. LiSSA (Lidar for Smart Sensing and Automotive) represents a revolutionary LIDAR approach, which not only provides a high resolution (double VGA) but also guarantees a very good accuracy level (<1cm for a 200m range). Furthermore, LiSSA 3D applies a multi-spectral approach to cover more than one area at a time, which allows for a better object classification. LiSSA 3D will be of great importance for autonomous driving, enabling the detection of small objects at long distances at the usual speed. The goal of this project is to equip every moving object in road traffic with our LiDAR sensor technology so as to raise traffic to a new level of security. LiSSA 3D has a low computational effort, enabling the innovation to be offered at a low cost. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
