Con esta herramienta te facilitamos un acceso a todas las ofertas y demandas de tecnología europeas y a búsquedas de socios para participar en propuestas europeas de I+D publicadas en la red Enterprise Europe Network, pudiendo filtrar los resultados para facilitar las búsquedas más acordes con tus necesidades.

¿Quieres recibir estos listados de oportunidades de colaboración en tu correo de forma periódica y personalizada? Date de alta en nuestro Boletín

Para optimizar los resultados de la búsqueda, se recomienda utilizar términos en inglés.

Unmanned aerial vehicles for autonomous operations

Resumen

Tipo:
Oferta Tecnológica
Referencia:
TOSG20210205002
Publicado:
26/03/2021
Caducidad:
27/03/2022
Resumen:
A Singapore institute of higher learning has developed a fully autonomous and unmanned aerial vehicle solution for drone navigation in complex urban environments. Potential applications of the technology include site and building inspections, off-shore structure surveillance and more. The technology provider is interested in licensing or commercial partnerships with technical assistance with MNEs/SMEs of all sizes.

Details

Tittle:
Unmanned aerial vehicles for autonomous operations
Summary:
A Singapore institute of higher learning has developed a fully autonomous and unmanned aerial vehicle solution for drone navigation in complex urban environments. Potential applications of the technology include site and building inspections, off-shore structure surveillance and more.

The technology provider is interested in licensing or commercial partnerships with technical assistance with MNEs/SMEs of all sizes.
Description:
The global inspection industry is trending towards the unmanned system, for example, Unmanned Ground Vehicle (UGV), Unmanned Aerial Vehicle (UAV) and Unmanned Surface Vehicle (USV), which are mostly teleoperated by a human operator. However, a skilled human pilot is an expensive asset and also in limited supply.

For these reasons, fully autonomous navigation in a complex urban environment is still considered a challenge for any Global Positioning System (GPS)-based feedback system.

The Singapore institute of higher learning has developed a new urban navigation solution which uses the tightly coupled Vision-Light Detection and Ranging (LiDAR)-ultra wide band-Inertial fusion system to achieve a robust localisation system in a complex urban environment. The estimation of the pose is in the near-ground-truth level metric scale. The short-term obstacle mapping takes the fusion from the short-range dense stereo output and long-range sparse LiDAR output to have a robust, complementary measurement system for navigation.

The automated path planning makes use of the detected plane feature with LiDAR for automated guided trajectory construction. The actual trajectory will be planned dynamically on the fly with fix-distance spacing away from the building.

The technology is primarily developed for the autonomous operation of UAVs. It has great potential for applications such as building inspection, off-shore structure inspection, ship inspection, plane inspection, mega-structure inspection and urban aerial reconnaissance for finding hostile targets in buildings.

Partners interested in licensing or commercial agreements with technical assistance are being sought by the technology provider.
Advantages and Innovations:
The drone platform is developed based on an optimization based sensor fusion framework for visual, inertial, ranging and Lidar measurements. The framework has been successfully implemented with open-source ceres solver and Robot Operating System (ROS) framework. Experiments are conducted to verify the efficacy and effectiveness of the sensor fusion scheme on multiple datasets, and shown that via the use of some anchors that can be quickly deployed on the field, the issues of Onboard Self Localization (OSL) drift and misaligned frame of references can be effectively overcome. Moreover, results on estimation of position, orientation, and velocity have shown good performance of the system. Through simulation and experimental results, it can be seen that the platform is reliable, flexible, accurate and has a great potential in many real-world applications.

The commercial UAV flight operations usually required 2 to 3 pilots for the activity. Flying an UAV is an mental-intensive and focus task, which requires high concentration of the pilot, as the signal drift in the GPS-based navigation will likely cause the UAV to crash. Hence, the general practice for normal procedure is to have 2 to 3 pilots to take turns (rotation) to fly the UAV, so as to complete the assignment safely and promptly.

Using the proposed technology, most operations is automated via the drone platform. One pilot can fly continuously without the need to worry about the GPS signal drift and the possibility of UAV crash. It is recommended that one pilot is still needed as this technology is in the early commercial deployment stage. With the maturity and adoption of the technology, it is possible to fly the UAV without a pilot in the future. Hence, the operational costs will be significantly reduced.
Stage of Development:
Available for demonstration
IPs:
Patent(s) applied for but not yet granted
CommeR Statunts Regarding IPR Status:
Patent applied for in Singapore

Partner sought

Type and Role of Partner Sought:
The Singapore institute of higher learning is interested in the following types of partnerships with MNEs or SMEs of all sizes:

i) Licensing agreement - The partner could license the technology for further development and introduce it to its customers.

ii) Commercial agreement with technical assistance - The partner could utilise the technology with technical support (including customizations for specific application) from the technology provider.

This technology is applicable for all industries and partners who have intentions to adapt drone for their commercial exploitation. The team has worked with various collaborators such as aerospace, building inspections, manufacturing, delivery and logistics etc.

Client

Type and Size of Client:
University
Already Engaged in Trans-National Cooperation:
No
Languages Spoken:
English

Keywords

Technology Keywords:
01001001 Automation, Robotics Control Systems