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20092025
most citedTightly Coupled 3D Lidar Inertial Odometry and Mapping

590 citations · 2.1k across the 66 of their papers we have counts for

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Showing 2019Show all

13 papers · 1 filter

cs.CL2019

An Annotation Scheme of A Large-scale Multi-party Dialogues Dataset for Discourse Parsing and Machine Comprehension

Jiaqi Li, Ming Liu, Bing Qin +2

In this paper, we propose the scheme for annotating large-scale multi-party chat dialogues for discourse parsing and machine comprehension. The main goal of this project is to help…

cs.RO2019★ 4 cited

Federated Imitation Learning: A Privacy Considered Imitation Learning Framework for Cloud Robotic Systems with Heterogeneous Sensor Data

Boyi Liu, Lujia Wang, Ming Liu +1

Humans are capable of learning a new behavior by observing others perform the skill. Robots can also implement this by imitation learning. Furthermore, if with external guidance, h…

cs.CV2019★ 269 cited

Pothole Detection Based on Disparity Transformation and Road Surface Modeling

Rui Fan, Umar Ozgunalp, Brett Hosking +2

Pothole detection is one of the most important tasks for road maintenance. Computer vision approaches are generally based on either 2D road image analysis or 3D road surface modeli…

cs.ET2019

A Novel General Compact Model Approach for 7nm Technology Node Circuit Optimization from Device Perspective and Beyond

Qiang Huo, Zhenhua Wu, Weixing Huang +7

This work presents a novel general compact model for 7nm technology node devices like FinFETs. As an extension of previous conventional compact model that based on some less accura…

cs.CV2019★ 4 cited

A Novel Dual-Lidar Calibration Algorithm Using Planar Surfaces

Jianhao Jiao, Qinghai Liao, Yilong Zhu +5

Multiple lidars are prevalently used on mobile vehicles for rendering a broad view to enhance the performance of localization and perception systems. However, precise calibration o…

cs.RO2019★ 590 cited

Tightly Coupled 3D Lidar Inertial Odometry and Mapping

Haoyang Ye, Yuying Chen, Ming Liu

Ego-motion estimation is a fundamental requirement for most mobile robotic applications. By sensor fusion, we can compensate the deficiencies of stand-alone sensors and provide mor…