Synthetic Data for Training and Evaluation of Critical Traffic Scenarios
Modern camera-based vehicle safety systems heavily rely on machine learning and consequently require large amounts of training data to perform reliably. However, collecting and annotating the needed data is an extremely expensive and time-consuming process. In addition, it is exceptionally difficult...
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| Format: | Others |
| Language: | English |
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Linköpings universitet, Medie- och Informationsteknik
2021
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-177779 |