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cs.CV2021
Traffic Scenario Clustering by Iterative Optimisation of Self-Supervised Networks Using a Random Forest Activation Pattern Similarity
Lakshman Balasubramanian, Jonas Wurst, Michael Botsch +1
Traffic scenario categorisation is an essential component of automated driving, for e.\,g., in motion planning algorithms and their validation. Finding new relevant scenarios witho…
cs.CV2021
Open-set Recognition based on the Combination of Deep Learning and Ensemble Method for Detecting Unknown Traffic Scenarios
Lakshman Balasubramanian, Friedrich Kruber, Michael Botsch +1
An understanding and classification of driving scenarios are important for testing and development of autonomous driving functionalities. Machine learning models are useful for sce…