Predictive hierarchical human augmented map generation for itinerary perception

• Published in: Electronics letters Vol. 52; no. 16; pp. 1381 - 1383
• Main Authors: Kaur, B, Bhattacharya, J
• Format: Journal Article
• Language: English
• Published: The Institution of Engineering and Technology 04.08.2016
• Subjects: augmented reality; cartography; Climatology; Electronics; environmental conditions; Gaussian; Gaussian process; Gaussian processes; Image and vision processing and display technology; image sensors; information retrieval; itinerary perception; learning (artificial intelligence); machine learning technique; mobile robots; path planning; Perception; predictive hierarchical human augmented map generation; region‐of‐interest input acquisition; robot vision; service robot; service robots; timing events; traffic density distribution database; Traffic engineering; traffic engineering computing; Traffic flow; traffic related information extraction; vision sensor; Weather; vision sensor; traffic related information extraction; machine learning technique; timing events; region-of-interest input acquisition; information retrieval; augmented reality; robot vision; cartography; traffic engineering computing; mobile robots; path planning; service robot; image sensors; Gaussian process; service robots; traffic density distribution database; Gaussian processes; predictive hierarchical human augmented map generation; learning (artificial intelligence); environmental conditions; itinerary perception

A new class of augmented map application is introduced which can provide detailed knowledge about any area, to a user. This brief particularly focuses on obtaining itinerary perception subject to different environmental conditions. This refers to extraction of traffic related information from an aug...