Peer Neubert

Peer Neubert

Technische Universität Chemnitz

H-index: 21

Europe-Germany

About Peer Neubert

Peer Neubert, With an exceptional h-index of 21 and a recent h-index of 17 (since 2020), a distinguished researcher at Technische Universität Chemnitz, specializes in the field of Autonomous Systems, Artificial Intelligence, Computer Vision, Machine Learning, Robotics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Lessons from a challenge on forecasting epileptic seizures from non-cerebral signals

Local positional graphs and attentive local features for a data and runtime-efficient hierarchical place recognition pipeline

Point-Cloud-Based Change Detection for Steep Slope Vineyard Agriculture

HealthWalk: Promoting Health and Mobility through Sensor-Based Rollator Walker Assistance

Visual place recognition: A tutorial

FETCH: A Memory-Efficient Replay Approach for Continual Learning in Image Classification

SEER: Unsupervised and sample-efficient environment specialization of image descriptors

A comparison of vector symbolic architectures

Peer Neubert Information

University

Position

___

Citations(all)

1889

Citations(since 2020)

1227

Cited By

1049

hIndex(all)

21

hIndex(since 2020)

17

i10Index(all)

30

i10Index(since 2020)

25

Email

University Profile Page

Technische Universität Chemnitz

Google Scholar

View Google Scholar Profile

Peer Neubert Skills & Research Interests

Autonomous Systems

Artificial Intelligence

Computer Vision

Machine Learning

Robotics

Top articles of Peer Neubert

Title

Journal

Author(s)

Publication Date

Lessons from a challenge on forecasting epileptic seizures from non-cerebral signals

Nature Machine Intelligence

Kenny Schlegel

Denis Kleyko

Benjamin H Brinkmann

Ewan S Nurse

Ross W Gayler

...

2024/2/13

Local positional graphs and attentive local features for a data and runtime-efficient hierarchical place recognition pipeline

IEEE Robotics and Automation Letters

Fangming Yuan

Stefan Schubert

Peter Protzel

Peer Neubert

2024/1/29

Point-Cloud-Based Change Detection for Steep Slope Vineyard Agriculture

Mark O Mints

Nick Theisen

Peer Neubert

Dietrich Paulus

2023/10/29

HealthWalk: Promoting Health and Mobility through Sensor-Based Rollator Walker Assistance

arXiv preprint arXiv:2310.07434

Ivanna Kramer

Kevin Weirauch

Sabine Bauer

Mark Oliver Mints

Peer Neubert

2023/10/11

Visual place recognition: A tutorial

IEEE Robotics & Automation Magazine (RAM)

Stefan Schubert

Peer Neubert

Sourav Garg

Michael Milford

Tobias Fischer

2023/3/6

FETCH: A Memory-Efficient Replay Approach for Continual Learning in Image Classification

Markus Weißflog

Peter Protzel

Peer Neubert

2023/11/15

SEER: Unsupervised and sample-efficient environment specialization of image descriptors

Robotics: Science and Systems (R: SS)

Peer Neubert

Stefan Schubert

2022

A comparison of vector symbolic architectures

Artificial Intelligence Review

Kenny Schlegel

Peer Neubert

Peter Protzel

2022/8

HDC-MiniROCKET: Explicit time encoding in time series classification with hyperdimensional computing

Kenny Schlegel

Peer Neubert

Peter Protzel

2022/7/18

Softmp: Attentive feature pooling for joint local feature detection and description for place recognition in changing environments

Fangming Yuan

Peer Neubert

Stefan Schubert

Peter Protzel

2021/5/30

Beyond ann: Exploiting structural knowledge for efficient place recognition

Stefan Schubert

Peer Neubert

Peter Protzel

2021/5/30

Multivariate time series analysis for driving style classification using neural networks and hyperdimensional computing

Kenny Schlegel

Florian Mirus

Peer Neubert

Peter Protzel

2021/7/11

Resolving place recognition inconsistencies using intra-set similarities

IEEE Robotics and Automation Letters

Peer Neubert

Stefan Schubert

Peter Protzel

2021/2/19

Fast and Memory Efficient Graph Optimization via ICM for Visual Place Recognition.

Robotics: Science and Systems

Stefan Schubert

Peer Neubert

Peter Protzel

2021/7

Graph-based non-linear least squares optimization for visual place recognition in changing environments

IEEE Robotics and Automation Letters

Stefan Schubert

Peer Neubert

Peter Protzel

2021/1/18

Vector Semantic Representations as Descriptors for Visual Place Recognition.

Peer Neubert

Stefan Schubert

Kenny Schlegel

Peter Protzel

2021/7

Hyperdimensional computing as a framework for systematic aggregation of image descriptors

Peer Neubert

Stefan Schubert

2021

What makes visual place recognition easy or hard?

arXiv preprint arXiv:2106.12671

Stefan Schubert

Peer Neubert

2021/6/23

Building a navigation system for a shopping assistant robot from off-the-shelf components

Kenny Schlegel

Peer Neubert

Peter Protzel

2020/9/16

Localsped: A classification pipeline that can learn local features for place recognition using a small training set

Fangming Yuan

Peer Neubert

Peter Protzel

2020/9/16

See List of Professors in Peer Neubert University(Technische Universität Chemnitz)

Co-Authors

H-index: 51
Tom Duckett

Tom Duckett

University of Lincoln

H-index: 43
Tomas Krajnik

Tomas Krajnik

Ceské vysoké ucení technické v Praze

H-index: 42
Niko Suenderhauf

Niko Suenderhauf

Queensland University of Technology

H-index: 30
Peter Protzel

Peter Protzel

Technische Universität Chemnitz

H-index: 24
Teresa Vidal-Calleja

Teresa Vidal-Calleja

University of Technology

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