This paper aims to review the state of the art of Light Detection and Ranging (LiDAR)
sensors for automotive applications, and particularly for automated vehicles, focusing on …

The ability to recognize a product on the shelf of a retail store is an ordinary human skill. The
same recognition problem presents an exceptional challenge for machine vision systems …

Pothole detection is one of the most important tasks for road maintenance. Computer vision
approaches are generally based on either 2D road image analysis or 3D road surface …

This work addresses multi-class segmentation of indoor scenes with RGB-D inputs. While
this area of research has gained much attention recently, most works still rely on hand …

Recently, the low-cost Microsoft Kinect sensor, which can capture real-time high-resolution
RGB and depth visual information, has attracted increasing attentions for a wide range of …

RGB-D data has turned out to be a very useful representation of an indoor scene for solving
fundamental computer vision problems. It takes the advantages of the color image that …

Various 3D reconstruction methods have enabled civil engineers to detect damage on a
road surface. To achieve the millimeter accuracy required for road condition assessment, a …

Surveillance cameras are increasingly being used worldwide due to the proliferation of
digital video capturing, storage, and processing technologies. However, the large volume of …

The automatic detection and extraction of road pothole distress is an important issue
regarding healthy road structures, monitoring, and maintenance. In this paper, a new …

基于图优化的同时定位与地图创建(SLAM) 是当前机器人领域的研究热点. 从帧间配准,
环形闭合检测以及优化技术3 个主要方面对基于图优化的同时定位与地图创建进行综述 …