activity
20182020
most citedDepth Estimation on Underwater Omni-directional Images Using a Deep Neural Network

1 citations · 1 across the 6 of their papers we have counts for

collaborators

8 papers

cs.RO2020

Improved Visual-Inertial Localization for Low-cost Rescue Robots

Xiaoling Long, Qingwen Xu, Yijun Yuan +2

This paper improves visual-inertial systems to boost the localization accuracy for low-cost rescue robots. When robots traverse on rugged terrain, the performance of pose estimatio…

cs.RO2019

Comparison and Evaluation of 2D and 3D Range Sensors

Qingwen Xu, Sören Schwertfeger

For mobile robots range sensors are important to perceive the environment. Sensors that can measure in a 3D volume are especially significant for outdoor robotics, because this env…

cs.RO2019

Evaluation of Smartphone IMUs for Small Mobile Search and Rescue Robots

Xiangyang Zhi, Qingwen Xu, Sören Schwertfeger

Small mobile robots are an important class of Search and Rescue Robots. Integrating all required components into such small robots is a difficult engineering task. Smartphones have…

cs.RO2019

Pose Estimation for Omni-directional Cameras using Sinusoid Fitting

Haofei Kuang, Qingwen Xu, Xiaoling Long +1

We propose a novel pose estimation method for geometric vision of omni-directional cameras. On the basis of the regularity of the pixel movement after camera pose changes, we formu…

cs.RO2019

Configuration-Space Flipper Planning on 3D Terrain

Yijun Yuan, Qingwen Xu, Sören Schwertfeger

Flippers are essential components of tracked robot locomotion systems for unstructured terrain, especially within a rescue scenario. Achieving full and semi-autonomy for such rescu…

cs.RO2019

Adaptive Navigation Scheme for Optimal Deep-Sea Localization Using Multimodal Perception Cues

Arturo Gomez Chavez, Qingwen Xu, Christian A. Mueller +2

Underwater robot interventions require a high level of safety and reliability. A major challenge to address is a robust and accurate acquisition of localization estimates, as it is…