Bale Collection Path Planning Using an Autonomous Vehicle with Neighborhood Collection Capabilities

Sammanfattning

This research was mainly focused on the evaluation of path planning approaches as a prerequisite for the automation of bale collection operations. A comparison between a traditional bale collection path planning approach using traditional vehicles such as tractors, and loaders with an optimized path planning approach using a new autonomous articulated concept vehicle with neighborhood reach capabilities (AVN) was carried out. Furthermore, the effects of carrying capacity on reduction in the working distance of the bale collection operation was also studied. It was concluded that the optimized path planning approach using AVN with increased carrying capacity significantly reduced the working distance for the bale collection operation and can thus improve agricultural sustainability, particularly within forage handling.

Nyckelord

agriculture; path planning; neighborhood collection; autonomous vehicle; genetic algorithm; global optimization; bale collection problem; forage handling

Publicerad i

Agriculture
2022, volym: 12, nummer: 12, artikelnummer: 1977
Utgivare: MDPI

SLU författare

• Wallsten, Johanna

  • Institutionen för norrländsk jordbruksvetenskap, Sveriges lantbruksuniversitet
    

UKÄ forskningsämne

Transportteknik och logistik
Jordbruksvetenskap

Publikationens identifierare

• DOI: https://doi.org/10.3390/agriculture12121977

Permanent länk till denna sida (URI)

https://res.slu.se/id/publ/120777