Tim Tiedemann
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View article: First Lessons Learned of an Artificial Intelligence Robotic System for Autonomous Coarse Waste Recycling Using Multispectral Imaging-Based Methods
First Lessons Learned of an Artificial Intelligence Robotic System for Autonomous Coarse Waste Recycling Using Multispectral Imaging-Based Methods Open
Current disposal facilities for coarse-grained waste perform manual sorting of materials with heavy machinery. Large quantities of recyclable materials are lost to coarse waste, so more effective sorting processes must be developed to reco…
View article: Coordinating Cooperative Perception in Urban Air Mobility for Enhanced Environmental Awareness
Coordinating Cooperative Perception in Urban Air Mobility for Enhanced Environmental Awareness Open
The trend for Urban Air Mobility (UAM) is growing with prospective air taxis, parcel deliverers, and medical and industrial services. Safe and efficient UAM operation relies on timely communication and reliable data exchange. In this paper…
View article: Miniature Autonomy as Means to Find New Approaches in Reliable Autonomous Driving AI Method Design
Miniature Autonomy as Means to Find New Approaches in Reliable Autonomous Driving AI Method Design Open
Artificial Intelligence (AI) methods need to be evaluated thoroughly to ensure reliable behavior. In applications like autonomous driving, a complex environment with an uncountable number of different situations and conditions needs to be …
View article: Challenges of Autonomous In-field Fruit Harvesting and Concept of a Robotic Solution
Challenges of Autonomous In-field Fruit Harvesting and Concept of a Robotic Solution Open
View article: Concept of a Robotic System for Autonomous Coarse Waste Recycling
Concept of a Robotic System for Autonomous Coarse Waste Recycling Open
View article: Miniaturautonomie und Echtzeitsysteme
Miniaturautonomie und Echtzeitsysteme Open
Autonomes oder teilautonomes Fahren im Miniaturmaßstab erfordert auf geringen Platz und eingeschränkte Ressourcen spezialisierte Mechanik, Elektronik sowie Soft- und Hardware. In dieser Arbeit werden zwei Miniaturfahrzeuge vorgestellt. Der…
View article: Miniature Autonomy as One Important Testing Means in the Development of Machine Learning Methods for Autonomous Driving: How ML-based Autonomous Driving could be Realized on a 1:87 Scale
Miniature Autonomy as One Important Testing Means in the Development of Machine Learning Methods for Autonomous Driving: How ML-based Autonomous Driving could be Realized on a 1:87 Scale Open
In the current state of autonomous driving machine learning methods are dominating, especially for the environment recognition. For such solutions, the reliability and the robustness is a critical question. A “miniature autonomy” with mode…
View article: A new concept for a cooperative fusion platform
A new concept for a cooperative fusion platform Open
The increasing traffic and the increasing number of sensors both in cars and in the infrastructure pose new challenges but also create new opportunities for traffic control. If the sensor data in various states of interpretation and aggreg…
View article: An Automotive Distributed Mobile Sensor Data Collection with Machine Learning Based Data Fusion and Analysis on a Central Backend System
An Automotive Distributed Mobile Sensor Data Collection with Machine Learning Based Data Fusion and Analysis on a Central Backend System Open
One of the most extensive examples for ubiquitous computing today is automotion. The equipment of sensors and independent computing devices in current vehicles is vast if not endless. Furthermore, traffic infrastructure is realized using g…