This Vinnova-funded project involves 15 partners, working together towards a profitable, low-impact and autonomous Swedish forestry for the future. The project will address key conditions for self-driving machinery.
SLU together with Skogforsk, Komatsu, KTH, LTU, UMIT, Unibap AB, eXtractor AB, BAE Hägglunds, Skogstekniska klustret, Sveaskog, SCA, Holmen, Strora Enso, BillerudKorsnäs and Södra have received a grant from Vinnova to develop autonomous all-terrain vehicles.
Today, the industry has problems recruiting new operators. This project aims to ensure a profitable and low-impact Swedish forestry for the future by developing three key products which will use state-of-the-art technology in AI and self-driving vehicles, and adapt it for off-road machines. The products will satisfy the three basic needs for enabling autonomous forestry machines (namely: establishment of a safety zone around the vehicle; detect obstacles in the path of the machine; and remote control).The products will strengthen the global competitiveness of the Swedish manufacturing industry for off-road machines.
Skogforsk is the project leader for Auto2. Ola Lindroos at SLU will lead the work package "System analysis". The main task is to evaluate the potential in future autonomous harvesting systems. Carola Häggström at SLU will lead the work package “AutoSafety”. The main task is to identify and warn humans in the surroundings of the working machines. The duration of the Auto2 project is 2 years (November 2018-December 2020).
Auto2 - Skogforsk
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Project timetable: 2018-12-01 - 2020-12-31
Funders: Vinnova
Project partners: SLU (Sveriges Lantbruksuniversitet), Skogforsk, KTH (Kungliga Tekniska Högskolan, Komatsu Forest, LTU (Luleå tekniska universitet), UMIT (forskningslabb på Umeå universitet), Unibap AB, eXtractor AB, BAE Hägglunds, Skogstekniska klustret, Sveaskog, SCA, Holmen, Stora Enso, BillerudKorsnäs och Södra.
Project budget: SEK 20,005,500, of which SEK 9,998,000 from Vinnova