Development of an Autonomous Path Tracking Forest Machine: a status report

Tyck till om SwePub Sök här!

Development of an Autonomous Path Tracking Forest Machine : a status report

In many respects traditional automation in the forest-machine industry has reached an up- per limit, since the driver already has to deal with an excess of information and take too many decisions at a very high pace. To further automation still, introduction of semi-autonomous and autonomous functions are expected and considered necessary. This paper describes an ongoing project along these ideas. We describe the development of the hardware and software of an unmanned shuttle that shifts timber from the area of felling to the main roads for fur- ther transportation. A new path-tracking algorithm is introduced, and demonstrated as being superior to standard techniques, such as Follow-the-Carrot and Pure-Pursuit. To facilitate the research and development, a comprehensive software architecture for sensor and actuator interfacing is developed. Obstacle avoidance is accomplished by a new kind of radar, developed for and by the automotive industry. Localization is accomplished by a Kalman filter combining data from a Real-Time Kinematic Differential GPS/GLONASS and a gyro/compass. Tests conducted on a simulator and a small-scale robot show promising results. Tests on the real forest machine are ongoing, and will be completed before the end of 2005.

Hellström, ThomasUmeå universitet,Institutionen för datavetenskap (författare)
Johansson, ThomasUmeå universitet,Institutionen för datavetenskap (författare)
Prorok, KalleUmeå universitet,Institutionen för tillämpad fysik och elektronik (författare)
Ringdahl, OlaUmeå universitet,Institutionen för datavetenskap(Swepub:umu)olri0001 (författare)
Sandström, UrbanUmeå universitet,Institutionen för datavetenskap (författare)
Umeå universitetInstitutionen för datavetenskap (creator_code:org_t)

Av författaren/redakt...: Georgsson, Fredr ...; Hellström, Thoma ...; Johansson, Thoma ...; Prorok, Kalle; Ringdahl, Ola; Sandström, Urban

Om ämnet

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.