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cs.RO2023
Unveiling Objects with SOLA: An Annotation-Free Image Search on the Object Level for Automotive Data Sets
Philipp Rigoll, Jacob Langner, Eric Sax
Huge image data sets are the fundament for the development of the perception of automated driving systems. A large number of images is necessary to train robust neural networks tha…
cs.RO2023
Focus on the Challenges: Analysis of a User-friendly Data Search Approach with CLIP in the Automotive Domain
Philipp Rigoll, Patrick Petersen, Hanno Stage +2
Handling large amounts of data has become a key for developing automated driving systems. Especially for developing highly automated driving functions, working with images has beco…