Development of an Automated Combine Guidance System
نویسندگان
چکیده
A machine vision-based automated corn harvester has been developed at the University of Illinois. The automated combine was field tested during 1999. Key modifications to the vehicle included upgrades to the electrical system and the hydraulic system. The basic guidance methodology utilized fuzzy logic to a) determine when to stop processing b) to evaluate image processing results and c) to calculate an overall vehicle steering command. The results from the steering subsystem identification are presented along with a brief description of the harvest results from the 1999 season.
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