DP-SLAM: A visual SLAM with moving probability towards dynamic environments
A Li, J Wang, M Xu, Z Chen - Information Sciences, 2021 - Elsevier
Abstract Simultaneous Localization and Mapping (SLAM) systems are proposed to estimate
robot poses and reconstruct 3-D map of surrounding environment. Since most of the existing …
robot poses and reconstruct 3-D map of surrounding environment. Since most of the existing …
On combining visual SLAM and dense scene flow to increase the robustness of localization and mapping in dynamic environments
PF Alcantarilla, JJ Yebes, J Almazán… - … on Robotics and …, 2012 - ieeexplore.ieee.org
In this paper, we introduce the concept of dense scene flow for visual SLAM applications.
Traditional visual SLAM methods assume static features in the environment and that a …
Traditional visual SLAM methods assume static features in the environment and that a …
An overview of optical flow-based approaches for motion segmentation
S Anthwal, D Ganotra - The Imaging Science Journal, 2019 - Taylor & Francis
The goal of motion segmentation is to segregate a visual scene into independently moving
objects. It is an indispensable pre-processing step for various tasks in computer vision and …
objects. It is an indispensable pre-processing step for various tasks in computer vision and …
Stereoscopic scene flow computation for 3D motion understanding
A Wedel, T Brox, T Vaudrey, C Rabe, U Franke… - International Journal of …, 2011 - Springer
Building upon recent developments in optical flow and stereo matching estimation, we
propose a variational framework for the estimation of stereoscopic scene flow, ie, the motion …
propose a variational framework for the estimation of stereoscopic scene flow, ie, the motion …
Sparse scene flow segmentation for moving object detection in urban environments
Modern driver assistance systems such as collision avoidance or intersection assistance
need reliable information on the current environment. Extracting such information from …
need reliable information on the current environment. Extracting such information from …
Real-time obstacle detection using stereo vision for autonomous ground vehicles: A survey
One of the most important features for any intelligent ground vehicle is based on how is
reliable and complete the perception of the environment and the capability to discriminate …
reliable and complete the perception of the environment and the capability to discriminate …
Quantitative evaluation of confidence measures in a machine learning world
Confidence measures aim at detecting unreliable depth measurements and play an
important role for many purposes and in particular, as recently shown, to improve stereo …
important role for many purposes and in particular, as recently shown, to improve stereo …
Exploiting the power of stereo confidences
D Pfeiffer, S Gehrig, N Schneider - Proceedings of the IEEE …, 2013 - cv-foundation.org
Applications based on stereo vision are becoming increasingly common, ranging from
gaming over robotics to driver assistance. While stereo algorithms have been investigated …
gaming over robotics to driver assistance. While stereo algorithms have been investigated …
On the confidence of stereo matching in a deep-learning era: a quantitative evaluation
Stereo matching is one of the most popular techniques to estimate dense depth maps by
finding the disparity between matching pixels on two, synchronized and rectified images …
finding the disparity between matching pixels on two, synchronized and rectified images …
Probflow: Joint optical flow and uncertainty estimation
AS Wannenwetsch, M Keuper… - Proceedings of the IEEE …, 2017 - openaccess.thecvf.com
Optical flow estimation remains challenging due to untextured areas, motion boundaries,
occlusions, and more. Thus, the estimated flow is not equally reliable across the image. To …
occlusions, and more. Thus, the estimated flow is not equally reliable across the image. To …