Existing 3D scene reconstructions require a cumbersome process of precisely measuring physical spaces with LiDAR or 3D scanners, or correcting thousands of photos along with camera pose information. A ...
Lidar-Camera fusion modules based on bird’s-eye view (BEV) have significantly pushed the state of the art in visual perception for accurate and reliable autonomous driving systems. However, most of ...
Abstract: Three-dimensional (3D) object classification is crucial in various applications, including autonomous driving, robotics, and augmented reality, where precise detection of objects in 3D space ...
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