Cyrill Stachniss

About Cyrill Stachniss

Cyrill Stachniss, With an exceptional h-index of 76 and a recent h-index of 57 (since 2020), a distinguished researcher at Rheinische Friedrich-Wilhelms-Universität Bonn, specializes in the field of robotics, photogrammetry, field robotics, autonomous driving, SLAM.

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

Research priorities to leverage smart digital technologies for sustainable crop production

Interview: Cyrill Stachniss’ view on AI in agriculture

Exploiting Priors from 3D Diffusion Models for RGB-Based One-Shot View Planning

Scaling Diffusion Models to Real-World 3D LiDAR Scene Completion

STAIR: Semantic-Targeted Active Implicit Reconstruction

Open-World Semantic Segmentation Including Class Similarity

Generalizable Stable Points Segmentation for 3D LiDAR Scan-to-Map Long-Term Localization

Deep Reinforcement Learning with Dynamic Graphs for Adaptive Informative Path Planning

Cyrill Stachniss Information

University

Position

Professor for Photogrammetry & Robotics

Citations(all)

31369

Citations(since 2020)

17986

Cited By

18991

hIndex(all)

76

hIndex(since 2020)

57

i10Index(all)

238

i10Index(since 2020)

194

Email

University Profile Page

Google Scholar

Cyrill Stachniss Skills & Research Interests

robotics

photogrammetry

field robotics

autonomous driving

SLAM

Top articles of Cyrill Stachniss

Interview: Cyrill Stachniss’ view on AI in agriculture

KI-Künstliche Intelligenz

2024/4/17

Joachim Hertzberg
Joachim Hertzberg

H-Index: 22

Cyrill Stachniss
Cyrill Stachniss

H-Index: 45

Exploiting Priors from 3D Diffusion Models for RGB-Based One-Shot View Planning

arXiv preprint arXiv:2403.16803

2024/3/25

Scaling Diffusion Models to Real-World 3D LiDAR Scene Completion

arXiv preprint arXiv:2403.13470

2024/3/20

Jens Behley
Jens Behley

H-Index: 13

Cyrill Stachniss
Cyrill Stachniss

H-Index: 45

STAIR: Semantic-Targeted Active Implicit Reconstruction

arXiv preprint arXiv:2403.11233

2024/3/17

Open-World Semantic Segmentation Including Class Similarity

arXiv preprint arXiv:2403.07532

2024/3/12

Generalizable Stable Points Segmentation for 3D LiDAR Scan-to-Map Long-Term Localization

IEEE Robotics and Automation Letters

2024/2/21

Cyrill Stachniss
Cyrill Stachniss

H-Index: 45

Deep Reinforcement Learning with Dynamic Graphs for Adaptive Informative Path Planning

arXiv preprint arXiv:2402.04894

2024/2/7

Semi-Supervised Active Learning for Semantic Segmentation in Unknown Environments Using Informative Path Planning

IEEE Robotics and Automation Letters

2024/1/29

PIN-SLAM: LiDAR SLAM Using a Point-Based Implicit Neural Representation for Achieving Global Map Consistency

arXiv preprint arXiv:2401.09101

2024/1/17

Yue Pan
Yue Pan

H-Index: 9

Jens Behley
Jens Behley

H-Index: 13

Cyrill Stachniss
Cyrill Stachniss

H-Index: 45

Tree instance segmentation and traits estimation for forestry environments exploiting LiDAR data collected by mobile robots

2024

Effectively Detecting Loop Closures using Point Cloud Density Maps

Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA)

2024

Online and offline learning of player objectives from partial observations in dynamic games

The International Journal of Robotics Research

2023/9

Unsupervised Generation of Labeled Training Images for Crop-Weed Segmentation in New Fields and on Different Robotic Platforms

IEEE Robotics and Automation Letters

2023/7/7

Building volumetric beliefs for dynamic environments exploiting map-based moving object segmentation

IEEE Robotics and Automation Letters

2023/7/5

Locndf: Neural distance field mapping for robot localization

IEEE Robotics and Automation Letters

2023/6/30

High precision leaf instance segmentation for phenotyping in point clouds obtained under real field conditions

IEEE Robotics and Automation Letters

2023/6/21

PhenoBench--A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural Domain

arXiv preprint arXiv:2306.04557

2023/6/7

Radar Velocity Transformer: Single-scan Moving Object Segmentation in Noisy Radar Point Clouds

2023/5/29

Jens Behley
Jens Behley

H-Index: 13

Cyrill Stachniss
Cyrill Stachniss

H-Index: 45

Fruit Tracking Over Time Using High-Precision Point Clouds

2023/5/29

See List of Professors in Cyrill Stachniss University(Rheinische Friedrich-Wilhelms-Universität Bonn)

Co-Authors

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