… perception framework to enhance the situational awareness of autonomous vehicles. First,
a multimodal … Multi-modal fusion transformer for end-to-end autonomous driving[C]. 2021 …

… However, to achieve fully autonomous driving, we must … In this paper, a novel end-to-end
lidar and radar fusion model (… Deepfusion: Lidar-camera deep fusion for multi-modal 3d object …

… quadruped robot based on multi-modal information fusion … Transformer 模型的自主避障
方法,用来融合本体感觉状态和外部传感器输入, 以提高四足机器人自主避障的成功率. Transformer …

… field of end-to-end autonomous driving with promising … the development path of end-to-end
driving systems. More specifically, … Multi-modal fusion transformer for end-to-end autonomous …

… multi-modal fusion in object detection for autonomous driving… Multi-modal virtual-real
fusion based transformer for … Coopernaut: End-to-end driving with cooperative perception …

… 本文采用 Transformer 来编码智能体的运动特征,首先由智能 … trajectory planning for autonomous
vehicle in dynamic … DenseTNT:end-to-end trajectory prediction from dense goal sets [C]. …

… CAT-Det:contrastively augmented transformer for multi-modal … vehicles can replace manual
operations for dangerous tasks,and object detection is the core technology for autonomous …

… DeepFusion: Lidarcamera deep fusion for multi-modal 3D object … Are we ready for
autonomous driving? the kitti vision … nuScenes: A multimodal dataset for autonomous driving [ C ]. …

… domains like navigation,autonomous driving,robotics,and … multi-modal fusion module of it
can be divided into two categories:(1) filtering-based fusion and (2)Transformer-based fusion. …

… -layer features extraction via end-to-end model training. Most of … the growth of image fusion
like vision transformers and meta-… network for multi-modal image restoration and fusion. IEEE …