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

Y Gao; C Spiteri; P Minh-Tri; S Al-Milli

doi:10.1016/j.robot.2013.11.003

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

Journal article

Peer reviewed

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

Y Gao, C Spiteri, P Minh-Tri and S Al-Milli

ROBOTICS AND AUTONOMOUS SYSTEMS, Vol.62(2), pp.151-167

01/02/2014

DOI: https://doi.org/10.1016/j.robot.2013.11.003

Abstract

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

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Title: A survey on recent object detection techniques useful for monocular vision-based planetary terrain classification
Creators: Y Gao
C Spiteri
P Minh-Tri
S Al-Milli
Publication Details: ROBOTICS AND AUTONOMOUS SYSTEMS, Vol.62(2), pp.151-167
Publisher: ELSEVIER SCIENCE BV
Date published: 01/02/2014
Date submitted: 17/05/2017
Identifiers: 99516167502346
Academic Unit: University of Surrey
Language: English
Resource Type: Journal article

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

Abstract

Files and links (1)

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