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20182023
most citedHierarchical Topometric Representation of 3D Robotic Maps

23 citations · 89 across the 33 of their papers we have counts for

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Showing 2019Show all

18 papers · 1 filter

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★ 1 cited

Room Detection for Topological Maps

Sören Schwertfeger, Tianyan Yu

Mapping is an important part of many robotic applications. In order to measure the performance of the mapping process we have to measure the quality of its result: the map. The map…

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★ 1 cited

Fast 2D Map Matching Based on Area Graphs

Jiawei Hou, Haofei Kuang, Sören Schwertfeger

We present a novel area matching algorithm for merging two different 2D grid maps. There are many approaches to address this problem, nevertheless, most previous work is built on s…

cs.AI2019

Fine-grained Qualitative Spatial Reasoning about Point Positions

Sören Schwertfeger

The ability to persist in the spacial environment is, not only in the robotic context, an essential feature. Positional knowledge is one of the most important aspects of space and…

cs.RO2019★ 16 cited

Furniture Free Mapping using 3D Lidars

Zhenpeng He, Jiawei Hou, Sören Schwertfeger

Mobile robots depend on maps for localization, planning, and other applications. In indoor scenarios, there is often lots of clutter present, such as chairs, tables, other furnitur…

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★ 3 cited

Area Graph: Generation of Topological Maps using the Voronoi Diagram

Jiawei Hou, Yijun Yuan, Sören Schwertfeger

Representing a scanned map of the real environment as a topological structure is an important research topic in robotics. Since topological representations of maps save a huge amou…

cs.RO2019★ 3 cited

Mapping with Reflection -- Detection and Utilization of Reflection in 3D Lidar Scans

Xiting Zhao, Zhijie Yang, Sören Schwertfeger

This paper presents a method to detect reflection of 3D light detection and ranging (Lidar) scans and uses it to classify the points and also map objects outside the line of sight.…

cs.RO2019★ 10 cited

Improving CNN-based Planar Object Detection with Geometric Prior Knowledge

Jianxiong Cai, Jiawei Hou, Yiren Lu +3

In this paper, we focus on the question: how might mobile robots take advantage of affordable RGB-D sensors for object detection? Although current CNN-based object detectors have a…

cs.RO2019

Path Planning Tolerant to Degraded Locomotion Conditions

Xiaoling Long, Sören Schwertfeger

Mobile robots, especially those driving outdoors and in unstructured terrain, sometimes suffer from failures and errors in locomotion, like unevenly pressurized or flat tires, loos…

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…

cs.CV2019★ 1 cited

Depth Estimation on Underwater Omni-directional Images Using a Deep Neural Network

Haofei Kuang, Qingwen Xu, Sören Schwertfeger

In this work, we exploit a depth estimation Fully Convolutional Residual Neural Network (FCRN) for in-air perspective images to estimate the depth of underwater perspective and omn…

cs.RO2019

Configuration-Space Flipper Planning for Rescue Robots

Yijun Yuan, Letong Wang, Sören Schwertfeger

For rescue robots, flipper endows the robot with additional ability to pass through various terrain. Autonomous motion becomes more important. In recent work autonomy is done by ei…

cs.RO2019★ 5 cited

Heterogeneous Multi-sensor Calibration based on Graph Optimization

Hongyu Chen, Sören Schwertfeger

Many robotics and mapping systems contain multiple sensors to perceive the environment. Extrinsic parameter calibration, the identification of the position and rotation transform b…

cs.RO2019★ 3 cited

Towards Generation and Evaluation of Comprehensive Mapping Robot Datasets

Hongyu Chen, Xiting Zhao, Jianwen Luo +8

This paper presents a fully hardware synchronized mapping robot with support for a hardware synchronized external tracking system, for super-precise timing and localization. We als…

cs.RO2019★ 1 cited

Learning Autonomous Exploration and Mapping with Semantic Vision

Xiangyang Zhi, Xuming He, Sören Schwertfeger

We address the problem of autonomous exploration and mapping for a mobile robot using visual inputs. Exploration and mapping is a well-known and key problem in robotics, the goal o…