Recent researches on robotics have shown significant improvement, spanning from
algorithms, mechanics to hardware architectures. Robotics, including manipulators, legged …

Monitoring the deformation of critical structures such as tunnel, buildings and bridges is
critical to ensure the safety of infrastructures. Non-contact deformation monitoring …

Dense disparity map extraction is one of the most active research areas in computer vision. It
tries to recover three-dimensional information from a stereo image pair. A large variety of …

The semi-global matching (SGM) algorithm in stereo vision is a well-known depth-estimation
method since it can generate dense and robust disparity maps. However, the real-time …

Problems such as low light, similar background colors, and noisy image acquisition often
occur when collecting images of lunar surface obstacles. Given these problems, this study …

Autonomous navigation of ships is actively discussed nowadays. It is essential to recognize
the surrounding conditions using radars and acquire position information using GPS …

In binocular stereo matching, there has been a problem of low matching accuracy and noise
immunity in discontinuous regions and weak‐textured regions. This paper proposes a stereo …

Stereo matching is an essential topic in computer vision. However, the high complexity and
massive computation restrict its applicability in real-time. This brief presents a pixel-level …

Pedestrian detection (PD) systems capable of locating pedestrians over large distances and
locating them faster are needed in Pedestrian Collision Prediction (PCP) systems to …

In this chapter, a collaborative work between stereo and a laser scanning system is
presented in order to obtain an enriched matrix of rectangular coordinates of elements in a …