Abstract Visual Simultaneous Localization and Map** (VSLAM) technology has become a
key technology in autonomous driving and robot navigation. Relying on camera sensors …

In the context of automated driving, navigating through challenging urban environments with
dynamic objects, large-scale scenes, and varying lighting/weather conditions, achieving …

How to ensure robust and accurate 3D object detection under various environment is
essential for autonomous driving (AD) environment perception. While, until now, most of the …

Visual navigation in unknown environments poses significant challenges due to the
presence of many obstacles and low-texture scenes. These factors may cause frequent …

Over the last decades, deep neural networks (DNNs) have penetrated all fields of science
and the real world. As a result of the lack of quantifiable data and model uncertainty, deep …

The upsurge of autonomous vehicles in the automobile industry will lead to better driving
experiences while also enabling the users to solve challenging navigation problems …

This article proposes a robust dynamic feature segmentation simultaneous localization and
map** (SLAM) 3-D reconstruction algorithm based on the dynamic segmentation …

The human attention mechanism can be understood and simulated by closely associating
the saliency prediction task to neuroscience and psychology. Furthermore, saliency …

Autonomous robots are a hot research subject within the fields of science and technology,
which has a big impact on social-economic development. The ability of the autonomous …

Existing lightweight salient object detection (SOD) methods aim to solve the problem of high
computational costs that is prevalent with heavyweight methods. However, compared with …