Leonard Bruns

According to our database, Leonard Bruns authored at least 17 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Neural Graph Map: Dense Mapping with Efficient Loop Closure Integration.

Leonard Bruns, Jun Zhang, Patric Jensfelt

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Impact of Spatial and Communication Environments on Collaborative Music-Making in Virtual Reality: Insights for Music Education.

Michael Oehler, Leonard Bruns, Benedict Saurbier, Tray Minh Voong

Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces, 2025

2024

Data for article: Neural Graph Mapping for Dense SLAM with Efficient Loop Closure.

Leonard Bruns, Jun Zhang, Patric Jensfelt

Dataset, April, 2024

Data for article: Neural Graph Mapping for Dense SLAM with Efficient Loop Closure.

Leonard Bruns, Jun Zhang, Patric Jensfelt

Dataset, April, 2024

Data for article: Neural Graph Mapping for Dense SLAM with Efficient Loop Closure.

Leonard Bruns, Jun Zhang, Patric Jensfelt

Dataset, April, 2024

Neural Graph Mapping for Dense SLAM with Efficient Loop Closure.

Leonard Bruns, Jun Zhang, Patric Jensfelt

CoRR, 2024

Transitional Grid Maps: Efficient Analytical Inference of Dynamic Environments under Limited Sensing.

José Manuel Gaspar Sánchez, Leonard Bruns, Jana Tumova, Patric Jensfelt, Martin Törngren

CoRR, 2024

Presence and Flow in Virtual and Mixed Realities for Music-Related Educational Settings.

Leonard Bruns, Benedict Saurbier, Tray Minh Voong, Michael Oehler

Proceedings of the 2024 IEEE 5th International Symposium on the Internet of Sounds (IS2), Erlangen, Germany, September 30, 2024

Conditional Variational Autoencoders for Probabilistic Pose Regression.

Fereidoon Zangeneh, Leonard Bruns, Amit Dekel, Alessandro Pieropan, Patric Jensfelt

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

2023

RGB-D-based categorical object pose and shape estimation: Methods, datasets, and evaluation.

Leonard Bruns, Patric Jensfelt

Robotics Auton. Syst., October, 2023

A Probabilistic Framework for Visual Localization in Ambiguous Scenes.

Fereidoon Zangeneh, Leonard Bruns, Amit Dekel, Alessandro Pieropan, Patric Jensfelt

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

SDFEst: Categorical Pose and Shape Estimation of Objects From RGB-D Using Signed Distance Fields.

Leonard Bruns, Patric Jensfelt

IEEE Robotics Autom. Lett., 2022

SDF-based RGB-D Camera Tracking in Neural Scene Representations.

Leonard Bruns, Fereidoon Zangeneh, Patric Jensfelt

CoRR, 2022

On the Evaluation of RGB-D-Based Categorical Pose and Shape Estimation.

Leonard Bruns, Patric Jensfelt

Proceedings of the Intelligent Autonomous Systems 17, 2022

2021

Bench-MR: A Motion Planning Benchmark for Wheeled Mobile Robots.

Eric Heiden, Luigi Palmieri, Leonard Bruns, Kai O. Arras, Gaurav S. Sukhatme, Sven Koenig

IEEE Robotics Autom. Lett., 2021

2020

Dispertio: Optimal Sampling For Safe Deterministic Motion Planning.

Luigi Palmieri, Leonard Bruns, Michael Meurer, Kai O. Arras

IEEE Robotics Autom. Lett., 2020

2019

Dispertio: Optimal Sampling for Safe Deterministic Sampling-Based Motion Planning.

Luigi Palmieri, Leonard Bruns, Michael Meurer, Kai Oliver Arras

CoRR, 2019