Measuring underground data while estimating self-position in real-time! Introduction to SLAM development case studies.
We developed an application that operates on ROS, integrating LiDAR-SLAM for mapping, self-localization, and underground data measurement devices. This application enables accurate understanding of the measurement information from underground data measurement devices and their positional relationship above ground, while also allowing for visual recording of the surrounding environment. Additionally, by using ROS (Robot Operating System), we have successfully facilitated smooth data transmission and reception, coordinate transformation, and sensor information output between various sensors and devices. 【Development Example】 ■OS: Ubuntu 16.04 LTS ■Development Period: 1 year ■Number of Developers: 3 ■Programming Languages: C++, Python ■Framework Used: ROS ■Related Technology: Point Cloud Matching *For more details, please refer to the PDF document or feel free to contact us.
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Currently, all technologies in the world are dramatically evolving around AI. And the speed of this evolution is expected to accelerate even further in the future. These changes are also bringing about shifts in the behavior of people in society, with waves of transformation hitting traditional business models. In this tumultuous era, we will provide solutions to various societal challenges with curiosity, power, and technology. Being involved in software development, particularly in AI development, means contributing to the evolution of various technologies in the world, benefiting society, and making people happy. This is our mission and our greatest joy.