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06/15/2023
Overcoming the Limitations of Localization Uncertainty: Efficient Exact Non-Linear Post-Processing and Calibration
Robustly and accurately localizing objects in real-world environments ca...
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11/01/2022
Informed Priors for Knowledge Integration in Trajectory Prediction
Informed machine learning methods allow the integration of prior knowled...
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08/22/2022
Efficient Utility Function Learning for Multi-Objective Parameter Optimization with Prior Knowledge
The current state-of-the-art in multi-objective optimization assumes eit...
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05/10/2022
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey
The existence of representative datasets is a prerequisite of many succe...
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01/03/2022
Enabling Verification of Deep Neural Networks in Perception Tasks Using Fuzzy Logic and Concept Embeddings
One major drawback of deep convolutional neural networks (CNNs) for use ...
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07/17/2018