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Multi-modal Sensor Module for Outdoor Robots

Taeyoung Uhm, Jeongwoo Park, Gi-Doek Bae, Jong-Deuk Lee, Young‐Ho Choi

Year
2020
Citations
2

Abstract

For autonomous navigation or performing missions, robots need a variety of information. Especially, in order to operate in outdoor environments such as weather conditions, night and daytime, multi-type of sensor data is required. In this paper, we propose a multi-modal sensor module for various sensors. In addition, the sensor data can be usefully calibrated. For example, distance values that are difficult to obtain in RGBD images can be measured using LiDAR data. Therefore, the proposed module is useful in most outdoor environments and can be easily installed in various robots.

Keywords

RobotModalLidarComputer scienceReal-time computingArtificial intelligenceRemote sensingComputer visionGeography

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