Impact of Data Quantity and Composition on Bucket Filling Performance for Wheel Loaders
Author:
Affiliation:
1. Tampere University,Automation and Mechanical Engineering, Faculty of Engineering and Natural Sciences,Finland,33014
2. Institute Mobile Machines, Karlsruhe Institute of Technology,Germany,76131
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10590709/10590710/10591162.pdf?arnumber=10591162
Reference29 articles.
1. Key challenges in automation of earth-moving machines
2. Review of the Construction Labour Demand and Shortages in the EU
3. Machine learning approach to automatic bucket loading
4. Field test of neural-network based automatic bucket-filling algorithm for wheel-loaders
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