activity
20202026
most citedThe Newer College Dataset: Handheld LiDAR, Inertial and Vision with Ground Truth

233 citations · 423 across the 25 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

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.NI2020★ 4 cited

Fast and Reliable WiFi Fingerprint Collection for Indoor Localization

Fuqiang Gu, Milad Ramezani, Kourosh Khoshelham +3

Fingerprinting is a popular indoor localization technique since it can utilize existing infrastructures (e.g., access points). However, its site survey process is a labor-intensive…

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…

cs.RO2020

Online LiDAR-SLAM for Legged Robots with Robust Registration and Deep-Learned Loop Closure

Milad Ramezani, Georgi Tinchev, Egor Iuganov +1

In this paper, we present a factor-graph LiDAR-SLAM system which incorporates a state-of-the-art deeply learned feature-based loop closure detector to enable a legged robot to loca…