Using deep learning to challenge safety standard for highly autonomous machines in agriculture

Journal of Imaging

Volumn 2, Issue 1, 2016, Pages

  Steen, Kim Arild ^a   Christiansen, Peter ^a   Karstoft, Henrik ^a   Jørgensen, Rasmus Nyholm ^a  

^a AARHUS UNIVERSITY   (Denmark)

Author keywords

Autonomous; Deep learning; ISO; Obstacle detection

Indexed keywords

CONVOLUTION; DEEP NEURAL NETWORKS; ISO STANDARDS; OBSTACLE DETECTORS;

AGRICULTURAL FIELDS; AUTONOMOUS; AUTONOMOUS MACHINES; DEEP LEARNING; IMAGE FRAMES; ISO; OBSTACLES DETECTION; ROW CROP; SAFE OPERATION; SAFETY STANDARD;

AGRICULTURE;

EID: 84968768999     PISSN: None     EISSN: 2313433X     Source Type: Journal    
DOI: 10.3390/jimaging2010006     Document Type: Article

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