IROS 2015 Paper Abstract


Paper ThAT14.5

Kim, Bong Keun (National Institute of Advanced Industrial Science and Technology), Sumi, Yasushi (National Institute of Advanced Industrial ScienceandTechnology(A), Sagawa, Ryusuke (National Institute of Advanced Industrial Science and Technology), Kosugi, Kenji (National Research Institute for Earth Science and Disaster Preve), Mochizuki, Shigeto (National Research Institute for Earth Science and Disaster Preve)

Visibility Reduction Based Performance Evaluation of Vision-Based Safety Sensors

Scheduled for presentation during the Regular session "Robot Safety" (ThAT14), Thursday, October 1, 2015, 09:30−09:45, Saal C4

2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, Sept 28 - Oct 03, 2015, Congress Center Hamburg, Hamburg, Germany

This information is tentative and subject to change. Compiled on July 19, 2019

Keywords Robot Safety, Personal Robots, Computer Vision


This paper describes the indoor snowfall simulation chamber and its application for evaluating visibility performance of vision-based sensors affected by environmental conditions. First, vision-based safety sensors are introduced and outdoor environmental requirements for these sensors are discussed. And also, the relationship between the visibility and the performance of vision based sensors is discussed and the current problems for evaluating visibility performance are described. Next, the indoor snowfall simulation method using expanded polystyrene beads (EPB) is explained and the spectral transmission measurement equipment for evaluating the visibility reduction is presented. Finally, the visibility reduction caused by simulated and artificial snowfall are measured for verifying the proposed indoor snowfall simulation chamber. Preliminary experiments are also carried out in both snowfall systems in order to evaluate various kinds of vision-based safety sensors for personal care robots.



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