Autonomous vehicles require constant environmental perception to obtain the distribution of
obstacles to achieve safe driving. Specifically, 3D object detection is a vital functional …

LiDAR-based 3D object detection for autonomous driving has recently drawn the attention of
both academia and industry since it relies upon a sensor that incorporates appealing …

The current paradigm shift in orthodontic treatment planning is based on facially driven
diagnostics. This requires an affordable, convenient, and non-invasive solution for face …

Advances in artificial intelligence (AI) and the extension of citizen science to various
scientific areas, as well as the generation of big citizen science data, are resulting in AI and …

Object detection, Person tracking, and Person property estimation (PPE) are identical
innovation areas trying to improve their accuracy in different parameters to fit various real …

The success of the transformer architecture in natural language processing has recently
triggered attention in the computer vision field. The transformer has been used as a …

The complex traffic conditions and high traffic flow are big challenges to the perception of
autonomous vehicles. As the basis of environmental perception technology, object detection …

Abstract 3D point cloud panoptic segmentation is the combined task to (i) assign each point
to a semantic class and (ii) separate the points in each class into object instances. Recently …

Abstract First Floor Elevation (FFE) of a house is crucial information for flood management
and for accurately assessing the flood exposure risk of a property. However, the lack of …

In recent years, the combination of deep learning and remote sensing has been a boiling
state. However, because of the difference between remote sensing images and natural …