The author introduces the Dynamic Feature Fusion Module (DFFM) and the Feature Selection Module (FSM) to address challenges in 3D object detection, focusing on expanding the receptive field of a 3D convolutional kernel and extracting important features.
Large receptive field and feature extraction strategies are crucial for enhancing 3D object detection in autonomous driving systems.