A four‐ocular vision system is proposed for the three‐dimensional (3D) reconstruction of
large‐scale concrete‐filled steel tube (CFST) under complex testing conditions. These …

Plane segmentation is a basic yet important process in light detection and ranging (LiDAR)
point cloud processing. The traditional point cloud plane segmentation algorithm is typically …

Avoiding objects independently in indoor environments for individuals with severe visual
impairment is one of the significant challenges in daily life. This paper presents a wearable …

The detection of planar regions from three-dimensional (3-D) laser scanning point clouds
has become more and more significant in many scientific fields, including 3-D …

This work is devoted to scene understanding and motion ability improvement for visually
impaired and blind people. We investigate how to exploit egocentric vision to provide …

Finding obstacle-free paths in unknown environments is a big navigation issue for visually
impaired people and autonomous robots. Previous works focus on obstacle avoidance …

Detecting obstacles accurately is a vital part of realizing autonomous driving. But utilizing
single sensors, for example, RGB camera or LiDAR itself, is difficult to meet the needs of …

Determining the drivable area, or free space segmentation, is critical for mobile robots to
navigate indoor environments safely. However, the lack of coherent markings and structures …

One of the main challenges that faces the monitoring of maritime structures and ports is
related to constantly changing weather and surrounding conditions. These conditions make …

Environment perception is a critical part of autonomous driving which is required to get a
reliable and accurate object information from environment. LIDAR sensors are thought to be …