ViDRILO: The visual and depth robot indoor localization with objects information dataset

International Journal of Robotics Research

Volumn 34, Issue 14, 2015, Pages 1681-1687

  Martínez Gómez, Jesus ^a   García Varea, Ismael ^a   Cazorla, Miguel ^b   Morell, Vicente ^b  

^a INSTITUTO DE INVESTIGACIÓN EN INFORMÁTICA DE ALBACETE   (Spain)

^b UNIVERSITY OF ALICANTE   (Spain)

Author keywords

recognition; robotic benchmarks; Semantic localization; sensor fusion

Indexed keywords

AGRICULTURAL ROBOTS; INDOOR POSITIONING SYSTEMS; LARGE DATASET; OBJECT RECOGNITION; OFFICE BUILDINGS; ROBOTS; SEMANTICS;

ANNOTATION SCHEME; INDOOR ENVIRONMENT; INDOOR LOCALIZATION; LIGHTING CONDITIONS; PERSPECTIVE IMAGE; RECOGNITION; SEMANTIC CATEGORY; SENSOR FUSION;

CLASSIFICATION (OF INFORMATION);

EID: 84948688411     PISSN: 02783649     EISSN: 17413176     Source Type: Journal    
DOI: 10.1177/0278364915596058     Document Type: Article

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