For autonomous vehicles (AVs), visual perception techniques based on sensors like
cameras play crucial roles in information acquisition and processing. In various computer …

Abstract 6DoF camera localization is an important component of autonomous driving and
navigation. Deep learning has achieved impressive results in localization, but its robustness …

Most image matching methods perform poorly when encountering large scale changes in
images. To solve this problem, we propose a Scale-Difference-Aware Image Matching …

This paper presents a novel approach for cross-domain descriptor matching between 2D
and 3D modalities. The 2D-3D matching is applied to localize 2D images in 3D point clouds …

The localization of the camera is essential in AR, MR, and robotics. Diverse pipelines
employ a hand-crafted or learning based way to predict the camera pose as per the task. In …

This paper addresses the challenging task of determining the position and posture of small-
scale thin metal parts with multi-objective overlapping. To tackle this problem, we propose a …

Accurate early detection of plant diseases is a critical milestone in the development of self-
navigating robots for precision agriculture and still remains one of the most significant …

Multi-scale feature fusion has been widely used in handcrafted descriptors, but has not been
fully explored in deep learning-based descriptor extraction. Simple concatenation of …

In Robotics, autonomous navigation has been addressed in recent years due to the potential
of applications in different areas, such as industrial, comercial, health and entertainment …

Representative elementary volume (REV) is the key to study the heterogeneity of digital coal
and characterize its macroscopic and microscopic properties. The permeability evolution law …