Peng Yin

Orcid: 0000-0001-8398-0988

Affiliations:

Carnegie Mellon University, Robotics Institute, Pittsburgh, PA, USA
Chinese Academy of Sciences, State Key Laboratory of Robotics, Shenyang Institute of Automation, China
University of Chinese Academy of Sciences, Beijing, China (PhD 2018)

According to our database¹, Peng Yin authored at least 40 papers between 2015 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

General Place Recognition Survey: Towards Real-World Autonomy.

[BibT_eX]

[DOI]

CoRR, 2024

2023

BioSLAM: A Bioinspired Lifelong Memory System for General Place Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Robotics, December, 2023

AutoMerge: A Framework for Map Assembling and Smoothing in City-Scale Environments.

[BibT_eX]

[DOI]

IEEE Trans. Robotics, October, 2023

MUI-TARE: Cooperative Multi-Agent Exploration With Unknown Initial Position.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., July, 2023

iSimLoc: Visual Global Localization for Previously Unseen Environments With Simulated Images.

[BibT_eX]

[DOI]

IEEE Trans. Robotics, June, 2023

SphereVLAD++: Attention-Based and Signal-Enhanced Viewpoint Invariant Descriptor.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2023

360FusionNeRF: Panoramic Neural Radiance Fields with Joint Guidance.

[BibT_eX]

[DOI]

Shreyas Kulkarni

Peng Yin

Sebastian A. Scherer

IROS, 2023

2022

PSE-Match: A Viewpoint-Free Place Recognition Method With Parallel Semantic Embedding.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

Fast Sequence-Matching Enhanced Viewpoint-Invariant 3-D Place Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Electron., 2022

Modeling and Prediction of User Stability and Comfortability on Autonomous Wheelchairs With 3-D Mapping.

[BibT_eX]

[DOI]

IEEE Trans. Hum. Mach. Syst., 2022

AdaFusion: Visual-LiDAR Fusion With Adaptive Weights for Place Recognition.

[BibT_eX]

[DOI]

Haowen Lai

Peng Yin

Sebastian A. Scherer

IEEE Robotics Autom. Lett., 2022

MUI-TARE: Multi-Agent Cooperative Exploration with Unknown Initial Position.

[BibT_eX]

[DOI]

CoRR, 2022

iSimLoc: Visual Global Localization for Previously Unseen Environments with Simulated Images.

[BibT_eX]

[DOI]

CoRR, 2022

General Place Recognition Survey: Towards the Real-world Autonomy Age.

[BibT_eX]

[DOI]

CoRR, 2022

BioSLAM: A Bio-inspired Lifelong Memory System for General Place Recognition.

[BibT_eX]

[DOI]

CoRR, 2022

ALTO: A Large-Scale Dataset for UAV Visual Place Recognition and Localization.

[BibT_eX]

[DOI]

CoRR, 2022

AutoMerge: A Framework for Map Assembling and Smoothing in City-scale Environments.

[BibT_eX]

[DOI]

CoRR, 2022

ALITA: A Large-scale Incremental Dataset for Long-term Autonomy.

[BibT_eX]

[DOI]

CoRR, 2022

2021

FusionVLAD: A Multi-View Deep Fusion Networks for Viewpoint-Free 3D Place Recognition.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2021

3D Segmentation Learning From Sparse Annotations and Hierarchical Descriptors.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2021

3D Segmentation Learning from Sparse Annotations and Hierarchical Descriptors.

[BibT_eX]

[DOI]

Peng Yin

Lingyun Xu

Jianmin Ji

CoRR, 2021

i3dLoc: Image-to-range Cross-domain Localization Robust to Inconsistent Environmental Conditions.

[BibT_eX]

[DOI]

CoRR, 2021

i3dLoc: Image-to-range Cross-domain Localization Robust to Inconsistent Environmental Conditions.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Improving Off-road Planning Techniques with Learned Costs from Physical Interactions.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Advancing Self-supervised Monocular Depth Learning with Sparse LiDAR.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

SeqSphereVLAD: Sequence Matching Enhanced Orientation-invariant Place Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

End-to-End 3D Point Cloud Learning for Registration Task Using Virtual Correspondences.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019

FusionMapping: Learning Depth Prediction with Monocular Images and 2D Laser Scans.

[BibT_eX]

[DOI]

CoRR, 2019

A Multi-Domain Feature Learning Method for Visual Place Recognition.

[BibT_eX]

[DOI]

Rangaprasad Arun Srivatsan

Lu Li

Jianmin Ji

Yuqing He

Proceedings of the International Conference on Robotics and Automation, 2019

MRS-VPR: a multi-resolution sampling based global visual place recognition method.

[BibT_eX]

[DOI]

Peng Yin

Rangaprasad Arun Srivatsan

Proceedings of the International Conference on Robotics and Automation, 2019

A Multi-modal Sensor Array for Safe Human-Robot Interaction and Mapping.

[BibT_eX]

[DOI]

Colette Abah

Andrew L. Orekhov

Garrison L. H. Johnston

Peng Yin

Howie Choset

Nabil Simaan

Proceedings of the International Conference on Robotics and Automation, 2019

LPD-Net: 3D Point Cloud Learning for Large-Scale Place Recognition and Environment Analysis.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Learning to Sequence Robot Behaviors for Visual Navigation.

[BibT_eX]

[DOI]

CoRR, 2018

Stabilize an Unsupervised Feature Learning for LiDAR-based Place Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Synchronous Adversarial Feature Learning for LiDAR based Loop Closure Detection.

[BibT_eX]

[DOI]

Proceedings of the 2018 Annual American Control Conference, 2018

2017

Towards Stable Adversarial Feature Learning for LiDAR based Loop Closure Detection.

[BibT_eX]

[DOI]

CoRR, 2017

Condition directed Multi-domain Adversarial Learning for Loop Closure Detection.

[BibT_eX]

[DOI]

CoRR, 2017

2016

Enhanced ICP for the Registration of Large-Scale 3D Environment Models: An Experimental Study.

[BibT_eX]

[DOI]

Sensors, 2016

GPU-based heuristic escape for outdoor large scale registration.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2016

2015

Multi-relation octomap based Heuristic ICP for air/surface robots cooperation.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Robotics and Biomimetics, 2015

Peng Yin

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