Abstract: Multimodal object detection is crucial for autonomous driving and intelligent surveillance. However, the existing methods face critical challenges, such as cross-modal semantic misalignment ...
Abstract: The use of Convolutional Neural Networks (CNNs) is the state-of-the-art for 3D object detection from automotive/vehicle LiDAR point clouds. However, not all models perform uniformly well ...
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