SafeAug: Safety-Critical Driving Data Augmentation from Naturalistic Datasets

Zhaobin Mo, Yunlong Li, Xuan Di

Safety-critical driving data is crucial for developing safe and trustworthy self-driving algorithms. Due to the scarcity of safety-critical data in naturalistic datasets, current a…