Peter Protzel

Peter Protzel

Technische Universität Chemnitz

H-index: 30

Europe-Germany

About Peter Protzel

Peter Protzel, With an exceptional h-index of 30 and a recent h-index of 25 (since 2020), a distinguished researcher at Technische Universität Chemnitz, specializes in the field of Autonomous Robots, Artificial Intelligence, Computer Vision, Machine Learning.

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

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

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

A comparison of vector symbolic architectures

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

A credible and robust approach to ego-motion estimation using an automotive radar

Resolving Place Recognition Inconsistencies Using Intra-Set Similarities

Multivariate Time Series Analysis for Driving Style Classification using Neural Networks and Hyperdimensional Computing

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

Peter Protzel Information

University

Position

Professor of Electrical Engineering / Chemnitz University of Technology Germany

Citations(all)

4633

Citations(since 2020)

2138

Cited By

3238

hIndex(all)

30

hIndex(since 2020)

25

i10Index(all)

65

i10Index(since 2020)

42

Email

University Profile Page

Technische Universität Chemnitz

Google Scholar

View Google Scholar Profile

Peter Protzel Skills & Research Interests

Autonomous Robots

Artificial Intelligence

Computer Vision

Machine Learning

Top articles of Peter Protzel

Title

Journal

Author(s)

Publication Date

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

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

Markus Weißflog

Peter Protzel

Peer Neubert

2023/11/15

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

A credible and robust approach to ego-motion estimation using an automotive radar

IEEE Robotics and Automation Letters

Karim Haggag

Sven Lange

Tim Pfeifer

Peter Protzel

2022/3/28

Resolving Place Recognition Inconsistencies Using Intra-Set Similarities

IEEE Robotics and Automation Letters

Peer Neubert

Stefan Schubert

Peter Protzel

2021/2/19

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

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

A blind-spot-aware optimization-based planner for safe robot navigation

Kenny Schlegel

Peter Weissig

Peter Protzel

2021/8/31

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

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

Robotics: Science and Systems

Stefan Schubert

Peer Neubert

Peter Protzel

2021/7

Beyond ann: Exploiting structural knowledge for efficient place recognition

Stefan Schubert

Peer Neubert

Peter Protzel

2021/5/30

Advancing Mixture Models for Least Squares Optimization

IEEE Robotics and Automation Letters

Tim Pfeifer

Sven Lange

Peter Protzel

2021/3/18

Optimization based 3D Multi-Object Tracking using Camera and Radar Data

Johannes Pöschmann

Tim Pfeifer

Peter Protzel

2021/7/11

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

Unsupervised learning methods for visual place recognition in discretely and continuously changing environments

Stefan Schubert

Peer Neubert

Peter Protzel

2020/5/31

Factor graph based 3d multi-object tracking in point clouds

Johannes Pöschmann

Tim Pfeifer

Peter Protzel

2020

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

Kenny Schlegel

Peer Neubert

Peter Protzel

2020/9/16

See List of Professors in Peter Protzel University(Technische Universität Chemnitz)

Co-Authors

H-index: 44
Thomas Martinetz

Thomas Martinetz

Universität zu Lübeck

H-index: 42
Niko Suenderhauf

Niko Suenderhauf

Queensland University of Technology

H-index: 22
Peter Ohler

Peter Ohler

Technische Universität Chemnitz

H-index: 21
Peer Neubert

Peer Neubert

Technische Universität Chemnitz

H-index: 12
Stefan Schubert

Stefan Schubert

Technische Universität Chemnitz

H-index: 11
Tim Pfeifer

Tim Pfeifer

Technische Universität Chemnitz

academic-engine