[HTML][HTML] An overview of autonomous vehicles sensors and their vulnerability to weather conditions
Autonomous vehicles (AVs) rely on various types of sensor technologies to perceive the
environment and to make logical decisions based on the gathered information similar to …
environment and to make logical decisions based on the gathered information similar to …
A comprehensive review on 3D object detection and 6D pose estimation with deep learning
Nowadays, computer vision with 3D (dimension) object detection and 6D (degree of
freedom) pose assumptions are widely discussed and studied in the field. In the 3D object …
freedom) pose assumptions are widely discussed and studied in the field. In the 3D object …
PoseRBPF: A Rao–Blackwellized particle filter for 6-D object pose tracking
Tracking 6-D poses of objects from videos provides rich information to a robot in performing
different tasks such as manipulation and navigation. In this article, we formulate the 6-D …
different tasks such as manipulation and navigation. In this article, we formulate the 6-D …
Deep model-based 6d pose refinement in rgb
We present a novel approach for model-based 6D pose refinement in color data. Building on
the established idea of contour-based pose tracking, we teach a deep neural network to …
the established idea of contour-based pose tracking, we teach a deep neural network to …
Iterative corresponding geometry: Fusing region and depth for highly efficient 3d tracking of textureless objects
M Stoiber, M Sundermeyer… - Proceedings of the IEEE …, 2022 - openaccess.thecvf.com
Tracking objects in 3D space and predicting their 6DoF pose is an essential task in
computer vision. State-of-the-art approaches often rely on object texture to tackle this …
computer vision. State-of-the-art approaches often rely on object texture to tackle this …
Real-time monocular pose estimation of 3D objects using temporally consistent local color histograms
H Tjaden, U Schwanecke… - Proceedings of the IEEE …, 2017 - openaccess.thecvf.com
We present a novel approach to 6DOF pose estimation and segmentation of rigid 3D objects
using a single monocular RGB camera based on temporally consistent, local color …
using a single monocular RGB camera based on temporally consistent, local color …
Deep active contours for real-time 6-DoF object tracking
L Wang, S Yan, J Zhen, Y Liu… - Proceedings of the …, 2023 - openaccess.thecvf.com
This paper solves the problem of real-time 6-DoF object tracking from an RGB video. Prior
optimization-based methods optimize the object pose by aligning the projected model to the …
optimization-based methods optimize the object pose by aligning the projected model to the …
[HTML][HTML] SRT3D: A sparse region-based 3D object tracking approach for the real world
Region-based methods have become increasingly popular for model-based, monocular 3D
tracking of texture-less objects in cluttered scenes. However, while they achieve state-of-the …
tracking of texture-less objects in cluttered scenes. However, while they achieve state-of-the …
[PDF][PDF] 基于内容的图像分割方法综述
姜枫, 顾庆, 郝慧珍, 李娜, 郭延文, 陈道蓄 - 软件学报, 2016 - jos.org.cn
图像分割是指将图像分成若干具有相似性质的区域的过程, 是许多图像处理任务的预处理步骤.
近年来, 国内外学者主要研究基于图像内容的分割算法. 在广泛调研大量文献和最新成果的基础 …
近年来, 国内外学者主要研究基于图像内容的分割算法. 在广泛调研大量文献和最新成果的基础 …
A region-based gauss-newton approach to real-time monocular multiple object tracking
We propose an algorithm for real-time 6DOF pose tracking of rigid 3D objects using a
monocular RGB camera. The key idea is to derive a region-based cost function using …
monocular RGB camera. The key idea is to derive a region-based cost function using …