ISSAFE: Improving Semantic Segmentation in Accidents by Fusing Event-based Data
Jiaming Zhang,Kailun Yang,Rainer Stiefelhagen,Jiaming Zhang,Kailun Yang,Rainer Stiefelhagen
Ensuring the safety of all traffic participants is a prerequisite for bringing intelligent vehicles closer to practical applications. The assistance system should not only achieve high accuracy under normal conditions, but obtain robust perception against extreme situations. However, traffic accidents that involve object collisions, deformations, overturns, etc., yet unseen in most training sets, ...
