Construction machinery and robots are essential equipment for major infrastructure. The
application of deep learning technology can improve the construction quality and alleviate …

Self-supervised multi-frame depth estimation achieves high accuracy by computing
matching costs of pixel correspondences between adjacent frames, injecting geometric …

Labor shortage and low labor productivity are critical issues in the construction industry.
Robotics, as a powerful technology to improve productivity in the digitization era, is being …

In this work, we examine the potential application of thermal cameras in improving
perception capabilities in adverse weather conditions like snow, night-time driving, and …

This paper investigates the solution to a mobile-robot exploration problem following
autonomous driving principles. The exploration task is formulated in this study as a process …

We present a two-stage mechanism for generic image restoration in natural driving
conditions, where multiple non-linear degradations simultaneously impact perception for …

Abstract his work focuses on improving the Conv-GRU-based optical flow update within a
DROID-SLAM framework. Prior optical flow models typically follow a UNet or coarse-to-fine …

Robotic technologies have demonstrated significant potential for applications in the
construction industry. However, a review of previous studies reveals that current practices in …

달 영구음영지역에 얼음 형태의 물이 발견되면서 주요 우주국들은 로버 중심의 현장 탐사를
준비 중이다. 달 영구음영지역은 극지역 크레이터의 중심부로 태양광이 직접 도달하지 않지만 …