Automated loading and dumping for enhanced efficiency (ALDEE)
|Coordinator||Luleå tekniska universitet - EISLAB|
|Funding from Vinnova||SEK 3 500 000|
|Project duration||November 2019 - June 2022|
|Venture||Electronics, software and communication - FFI|
|Call||Electronics, software and communication - FFI - spring 2019|
Purpose and goal
The project aims to enhance the efficiency of the loading and unloading processes in construction projects with the help of machine learning methods. A goal of the project is to improve the automated digging function for it to enhance the efficiency of the loading process. Furthermore, to enhance the efficiency of the complete loading and unloading process, another goal of the project is to develop automated functions for identifying and approaching loading trucks as well as dumping material on load receivers.
Expected results and effects
The expected results from the project will be utilized by Volvo CE to strengthen capabilities to develop and test new functions for driver support as well as semi-autonomous and fully autonomous wheel-loaders. In particular, the capability and capacity to introduce functions based on machine learning will be strengthened both through increased knowledge within the company and through the development of new concept solutions. The project aims at delivering methods and supporting software that enables the use of computer vision with heavy equipment in their typical applications.
Planned approach and implementation
The project is organized in five work packages (WP) where WP 1 covers project management and dissemination as well as coordination within Volvo CE (VCE). WP 2 led by LTU is concerned with automated digging and dumping solutions, while WP 3, led by VCE, takes care of system development, testing and demonstrations. Finally, WP 4 focuses on to analyze, evaluation and documentation and is led by LTU. The project will have a reference group with one representative from Volvo CE and one from LTU. The reference group will be informed at all milestones for them to give feedback on the work.