Robust multitask learning framework for panoptic autonomous driving perception
A resilient cross-task modeling architecture to overcome the precision-versus-latency dilemma in comprehensive traffic scene understanding, the model's empirical results indicate it surpasses YOLOP as well as HybridNets in detecting objects, segmenting drivable zones, and delineating lane markings.