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A survey on recent object detection techniques useful for monocular vision-based planetary terrain classification

Gao, Y, Spiteri, C, Minh-Tri, P and Al-Milli, S (2014) A survey on recent object detection techniques useful for monocular vision-based planetary terrain classification ROBOTICS AND AUTONOMOUS SYSTEMS, 62 (2). pp. 151-167.

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Item Type: Article
Authors :
NameEmailORCID
Gao, Yyang.gao@surrey.ac.ukUNSPECIFIED
Spiteri, CUNSPECIFIEDUNSPECIFIED
Minh-Tri, PUNSPECIFIEDUNSPECIFIED
Al-Milli, Ss.al-milli@surrey.ac.ukUNSPECIFIED
Date : 1 February 2014
Identification Number : https://doi.org/10.1016/j.robot.2013.11.003
Uncontrolled Keywords : Science & Technology, Technology, Automation & Control Systems, Computer Science, Artificial Intelligence, Robotics, Computer Science, Remote terrain classification, Autonomous navigation, Object detection, Monocular vision, Planetary rovers, MULTIVIEW FACE DETECTION, HAAR-LIKE FEATURES, PEDESTRIAN DETECTION, NEURAL-NETWORK, TRAVERSABILITY ASSESSMENT, PART DETECTORS, FILTER BANKS, TRACKING, MULTIPLE, ROTATION
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 13:08
Last Modified : 17 May 2017 15:09
URI: http://epubs.surrey.ac.uk/id/eprint/838083

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