The IIIA30 mobile robot object recognition dataset

Arnau Ramisa; David Aldavert; Shrihari Vasudevan; Ricardo Toledo; Ramon Lopez de Mantaras

The IIIA30 mobile robot object recognition dataset

Arnau Ramisa, David Aldavert, Shrihari Vasudevan, Ricardo Toledo, Ramon Lopez de Mantaras

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

Abstract

Object perception is a key feature in order to make mobile robots able to perform high-level tasks. However, research aimed at addressing the constraints and limitations encountered in a mobile robotics scenario, like low image resolution, motion blur or tight computational constraints, is still very scarce. In order to facilitate future research in this direction, in this work we present an object detection and recognition dataset acquired using a mobile robotic platform. As a baseline for the dataset, we evaluated the cascade of weak classifiers object detection method from Viola and Jones.

Original language	English
Title of host publication	Proceedings of the 11th International Conference on Mobile Robots and Competitions, 6-10 April 2011, Lisbon, Portugal
Publisher	Technical University of Lisbon
Pages	72-77
Number of pages	6
Publication status	Published - 2011
Event	International Conference on Mobile Robots and Competitions - Duration: 6 Apr 2011 → …

Conference

Conference	International Conference on Mobile Robots and Competitions
Period	6/04/11 → …

Cite this

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title = "The IIIA30 mobile robot object recognition dataset",

abstract = "Object perception is a key feature in order to make mobile robots able to perform high-level tasks. However, research aimed at addressing the constraints and limitations encountered in a mobile robotics scenario, like low image resolution, motion blur or tight computational constraints, is still very scarce. In order to facilitate future research in this direction, in this work we present an object detection and recognition dataset acquired using a mobile robotic platform. As a baseline for the dataset, we evaluated the cascade of weak classifiers object detection method from Viola and Jones.",

author = "Arnau Ramisa and David Aldavert and Shrihari Vasudevan and Ricardo Toledo and {Lopez de Mantaras}, Ramon",

year = "2011",

language = "English",

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booktitle = "Proceedings of the 11th International Conference on Mobile Robots and Competitions, 6-10 April 2011, Lisbon, Portugal",

publisher = "Technical University of Lisbon",

note = "International Conference on Mobile Robots and Competitions ; Conference date: 06-04-2011",

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T1 - The IIIA30 mobile robot object recognition dataset

AU - Ramisa, Arnau

AU - Aldavert, David

AU - Vasudevan, Shrihari

AU - Toledo, Ricardo

AU - Lopez de Mantaras, Ramon

PY - 2011

Y1 - 2011

N2 - Object perception is a key feature in order to make mobile robots able to perform high-level tasks. However, research aimed at addressing the constraints and limitations encountered in a mobile robotics scenario, like low image resolution, motion blur or tight computational constraints, is still very scarce. In order to facilitate future research in this direction, in this work we present an object detection and recognition dataset acquired using a mobile robotic platform. As a baseline for the dataset, we evaluated the cascade of weak classifiers object detection method from Viola and Jones.

AB - Object perception is a key feature in order to make mobile robots able to perform high-level tasks. However, research aimed at addressing the constraints and limitations encountered in a mobile robotics scenario, like low image resolution, motion blur or tight computational constraints, is still very scarce. In order to facilitate future research in this direction, in this work we present an object detection and recognition dataset acquired using a mobile robotic platform. As a baseline for the dataset, we evaluated the cascade of weak classifiers object detection method from Viola and Jones.

UR - http://handle.uws.edu.au:8081/1959.7/531471

M3 - Conference Paper

SP - 72

EP - 77

BT - Proceedings of the 11th International Conference on Mobile Robots and Competitions, 6-10 April 2011, Lisbon, Portugal

PB - Technical University of Lisbon

T2 - International Conference on Mobile Robots and Competitions

Y2 - 6 April 2011

ER -

The IIIA30 mobile robot object recognition dataset

Abstract

Conference

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