DiverSim: an Inclusive Simulator for Diverse Synthetic Pedestrian Data Generation
25 / 10 / 24
One of the critical challenges in autonomous driving and AI-based systems is the lack of diverse and representative datasets. Existing datasets often fail to reflect the broad range of pedestrians found in real-world scenarios—especially underrepresented groups such as people with disabilities or individuals from various ethnic minorities. This gap in representation can lead to the […]