With the rapid development of high-speed communication and artificial intelligence
technologies, human perception of real-world scenes is no longer limited to the use of small …

Visual place recognition has attracted widespread research interest in multiple fields such
as computer vision and robotics. Recently, researchers have employed advanced deep …

Long‐term operation of robots creates new challenges to Simultaneous Localization and
Mapping (SLAM) algorithms. Long‐term SLAM algorithms should adapt to recent changes …

Pixel-wise semantic segmentation is capable of unifying most of driving scene perception
tasks, and has enabled striking progress in the context of navigation assistance, where an …

摘要真实世界中存在光照, 天气, 季节及场景结构等复杂环境因素, 这些因素的改变对移动机器人
基本行为和任务能力带来巨大挑战. 随着机器人与人工智能技术的不断发展 …

Place recognition is a critical component towards addressing the key problem of
Simultaneous Localization and Mapping (SLAM). Most existing methods use visual images; …

Panoramic images have advantages in information capacity and scene stability due to their
large field of view (FoV). In this paper, we propose a method to synthesize a new dataset of …

Pixel-wise semantic segmentation unifies distinct scene perception tasks in a coherent way,
and has catalyzed notable progress in autonomous and assisted navigation, where a whole …

Visual localization is an attractive problem that estimates the camera localization from
database images based on the query image. It is a crucial task for various applications, such …

Place recognition is an important component for simultaneously localization and mapping in
a variety of robotics applications. Recently, several approaches using landmark information …