Joachim Clemens

Orcid: 0000-0003-1788-0852

Affiliations:
  • University of Bremen, Cognitive Neuroinformatics, Germany


According to our database1, Joachim Clemens authored at least 21 papers between 2013 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

Online presence:

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Bibliography

2022
The OPA<sup>3</sup>L System and Testconcept for Urban Autonomous Driving.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Coverage Path Planning and Precise Localization for Autonomous Lawn Mowers.
Proceedings of the Sixth IEEE International Conference on Robotic Computing, 2022

Visual-Inertial Odometry aided by Speed and Steering Angle Measurements.
Proceedings of the 25th International Conference on Information Fusion, 2022

2021
Visual-Multi-Sensor Odometry with Application in Autonomous Driving.
Proceedings of the 93rd IEEE Vehicular Technology Conference, 2021

Efficient Grid Map Data Structures for Autonomous Driving in Large-Scale Environments.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

On the Probabilistic Coupling Between Rotation and Translation in State Estimation.
Proceedings of the Fifth IEEE International Conference on Robotic Computing, 2021

State Estimation of Articulated Vehicles Using Deformed Superellipses.
Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

2020
Active Asteroid-SLAM.
J. Intell. Robotic Syst., 2020

Extended Object Tracking on the Affine Group Aff (2).
Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

Kalman Filter with Moving Reference for Jump-Free, Multi-Sensor Odometry with Application in Autonomous Driving.
Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

2019
<i>β</i>-SLAM: Simultaneous localization and grid mapping with beta distributions.
Inf. Fusion, 2019

2018
Uncertainty in localization, mapping, and planning: advanced methods and applications.
PhD thesis, 2018

Multi-Sensor Fusion and Active Perception for Autonomous Deep Space Navigation.
Proceedings of the 21st International Conference on Information Fusion, 2018

2017
Formal methods for reasoning and uncertainty reduction in evidential grid maps.
Int. J. Approx. Reason., 2017

Multi-robot in-ice localization using graph optimization.
Proceedings of the 2017 IEEE International Conference on Autonomous Robot Systems and Competitions, 2017

2016
An evidential approach to SLAM, path planning, and active exploration.
Int. J. Approx. Reason., 2016

Extended Kalman filter with manifold state representation for navigating a maneuverable melting probe.
Proceedings of the 19th International Conference on Information Fusion, 2016

2014
Dimensions of Uncertainty in Evidential Grid Maps.
Proceedings of the Spatial Cognition IX, 2014

Virtual Reality for Simulating Autonomous Deep-Space Navigation and Mining.
Proceedings of the International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments, 2014

Multi-Sensor Fusion Using Evidential SLAM for Navigating a Probe through Deep Ice.
Proceedings of the Belief Functions: Theory and Applications, 2014

2013
Evidential FastSLAM for grid mapping.
Proceedings of the 16th International Conference on Information Fusion, 2013


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