Abstract: We propose a general attack framework based on evolutionary algorithms to quickly and efficiently generate low-perturbation adversarial samples for 3D point cloud data. Specifically, we ...

Abstract: Over the past few decades, the precise point positioning (PPP) technique has primarily been employed in post-processing applications due to its flexibility and high precision. However, two ...

Abstract: Real-time semantic segmentation plays an important role in auto vehicles. However, most real-time small object segmentation methods fail to obtain satisfactory performance on small objects, ...

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Abstract: This paper proposes a novel approach to generate high-precision maps and rebuild the area that the vehicle passes again in real time, ensuring that the map remains consistent with the real ...

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Abstract: This article presents a communication-efficient centralized multirobot dense simultaneous localization and mapping (CCMD-SLAM) system with real-time point cloud maintenance, to address the ...

Abstract: With the growing demand for high-precision location-based services (LBSs) with the Internet of Things (IoT) smart terminals, realizing high-accuracy positioning with low-cost devices has ...