4 accepted papers
Collaborative perception leverages data exchange among multiple agents to enhance overall perception capabilities. However, heterogeneity across agents introduces domain gaps that hinder collaboration, and this is further exacerbated by an underexplored issue: modality isolation. It arises when mult
Vehicle-to-vehicle (V2V) cooperative autonomous driving holds great promise for improving safety by addressing the perception and prediction uncertainties inherent in single-agent systems. However, traditional cooperative methods are constrained by rigid collaboration protocols and limited generaliz…
Scene simulation in autonomous driving has gained significant attention because of its huge potential for generating customized data. However existing editable scene simulation approaches face limitations in terms of user interaction efficiency multi-camera photo-realistic rendering and external dig…
Robustness and safety concerns of perception systems are of great importance for autonomous vehicle navigation applications. Recent researches demonstrate that the surrounding dynamic object detection results of current perception systems can be easily interfered or attacked to mislead the navigatio…