activity
20202024
most citedThe Newer College Dataset: Handheld LiDAR, Inertial and Vision with Ground Truth

233 citations · 237 across the 6 of their papers we have counts for

collaborators

6 papers

math.NA2024

Quasi-Distribution Appraisal Based on Piecewise Bézier Curves: An Objective Evaluation Method about Finite Element Analysis

Runkai Wen, Yukun Chai, Lingxin Wang +5

A class of quasi-distribution evaluation criteria based on piecewise Bezier curves is proposed to address the issue of the inability to objectively evaluate finite element models.…

cs.RO2022

3D Lidar Reconstruction with Probabilistic Depth Completion for Robotic Navigation

Yifu Tao, Marija Popović, Yiduo Wang +3

Safe motion planning in robotics requires planning into space which has been verified to be free of obstacles. However, obtaining such environment representations using lidars is c…

cs.RO2021★ 1 cited

Scalable and Elastic LiDAR Reconstruction in Complex Environments Through Spatial Analysis

Yiduo Wang, Milad Ramezani, Matias Mattamala +1

This paper presents novel strategies for spawning and fusing submaps within an elastic dense 3D reconstruction system. The proposed system uses spatial understanding of the scanned…

cs.RO2020★ 2 cited

Elastic and Efficient LiDAR Reconstruction for Large-Scale Exploration Tasks

Yiduo Wang, Nils Funk, Milad Ramezani +5

We present an efficient, elastic 3D LiDAR reconstruction framework which can reconstruct up to maximum LiDAR ranges (60 m) at multiple frames per second, thus enabling robot explor…

cs.RO2020★ 233 cited

The Newer College Dataset: Handheld LiDAR, Inertial and Vision with Ground Truth

Milad Ramezani, Yiduo Wang, Marco Camurri +3

In this paper we present a large dataset with a variety of mobile mapping sensors collected using a handheld device carried at typical walking speeds for nearly 2.2 km through New…

cs.RO2020★ 1 cited

Actively Mapping Industrial Structures with Information Gain-Based Planning on a Quadruped Robot

Yiduo Wang, Milad Ramezani, Maurice Fallon

In this paper, we develop an online active mapping system to enable a quadruped robot to autonomously survey large physical structures. We describe the perception, planning and con…