2 papers
cs.CV2024
A-BDD: Leveraging Data Augmentations for Safe Autonomous Driving in Adverse Weather and Lighting
Felix Assion, Florens Gressner, Nitin Augustine +6
High-autonomy vehicle functions rely on machine learning (ML) algorithms to understand the environment. Despite displaying remarkable performance in fair weather scenarios, percept…
cs.LG2024
Structuring a Training Strategy to Robustify Perception Models with Realistic Image Augmentations
Ahmed Hammam, Bharathwaj Krishnaswami Sreedhar, Nura Kawa +2
Advancing Machine Learning (ML)-based perception models for autonomous systems necessitates addressing weak spots within the models, particularly in challenging Operational Design…