Leonard Bruns

Orcid: 0000-0001-8747-6359

According to our database1, Leonard Bruns authored at least 15 papers between 2019 and 2024.

Collaborative distances:

Timeline

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2023
2024
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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Data for article: Neural Graph Mapping for Dense SLAM with Efficient Loop Closure.
Dataset, April, 2024

Data for article: Neural Graph Mapping for Dense SLAM with Efficient Loop Closure.
Dataset, April, 2024

Data for article: Neural Graph Mapping for Dense SLAM with Efficient Loop Closure.
Dataset, April, 2024

Neural Graph Mapping for Dense SLAM with Efficient Loop Closure.
CoRR, 2024

Transitional Grid Maps: Efficient Analytical Inference of Dynamic Environments under Limited Sensing.
CoRR, 2024

Presence and Flow in Virtual and Mixed Realities for Music-Related Educational Settings.
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.
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.
Robotics Auton. Syst., October, 2023

A Probabilistic Framework for Visual Localization in Ambiguous Scenes.
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.
IEEE Robotics Autom. Lett., 2022

SDF-based RGB-D Camera Tracking in Neural Scene Representations.
CoRR, 2022

On the Evaluation of RGB-D-Based Categorical Pose and Shape Estimation.
Proceedings of the Intelligent Autonomous Systems 17, 2022

2021
Bench-MR: A Motion Planning Benchmark for Wheeled Mobile Robots.
IEEE Robotics Autom. Lett., 2021

2020
Dispertio: Optimal Sampling For Safe Deterministic Motion Planning.
IEEE Robotics Autom. Lett., 2020

2019
Dispertio: Optimal Sampling for Safe Deterministic Sampling-Based Motion Planning.
CoRR, 2019


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