A Large-Scale Dataset for Benchmarking Elevator Button Segmentation and Character Recognition

Liu，Jianbang1; Fang，Yuqi1; Zhu，Delong1; Ma，Nachuan1; Pan，Jin1; Meng，Max Q.H.1,2,3

10.1109/ICRA48506.2021.9562109

2021

IEEE International Conference on Robotics and Automation (ICRA)

1050-4729

2577-087X

978-1-7281-9078-5

Proceedings - IEEE International Conference on Robotics and Automation

2021-May

14018-14024

MAY 30-JUN 05, 2021

null,Xian,PEOPLES R CHINA

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

Human activities are hugely restricted by COVID-19, recently. Robots that can conduct inter-floor navigation attract much public attention since they can substitute human workers to conduct the service work. However, current robots either depend on human assistance or elevator retrofitting, and fully autonomous inter-floor navigation is still not available. As the very first step of inter-floor navigation, elevator button segmentation and recognition hold an important position. Therefore, we release the first large-scale publicly available elevator panel dataset in this work, containing 3,718 panel images with 35,100 button labels, to facilitate more powerful algorithms on autonomous elevator operation. Together with the dataset, a number of deep learning based implementations for button segmentation and recognition are also released to benchmark future methods in the community.

Performance evaluation Deep learning COVID-19 Image segmentation Navigation Conferences Benchmark testing

其他

英语

CPCI-S ; EI

Hong Kong RGC GRF grants[14200618]

Automation & Control Systems ; Robotics

Automation & Control Systems ; Robotics

WOS:000771405405076

20220911737359

Character recognition ; Deep learning ; Elevators ; Large dataset ; Navigation ; Robots

Buildings and Towers:402 ; Ergonomics and Human Factors Engineering:461.4 ; Elevators:692.2 ; Data Processing and Image Processing:723.2 ; Robotics:731.5

2-s2.0-85117647029

Scopus

1.The Department of Electronic Engineering,The Chinese University of Hong Kong,Shatin, N.T.,Hong Kong
2.The Department of Electronic and Electrical Engineering,Southern University of Science and Technology,Shenzhen,China
3.The Shenzhen Research Institute,The Chinese University of Hong Kong,Shenzhen,China

Liu，Jianbang,Fang，Yuqi,Zhu，Delong,et al. A Large-Scale Dataset for Benchmarking Elevator Button Segmentation and Character Recognition[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2021:14018-14024.