Abstract: 3D object detection in driving scenarios is particularly challenging due to factors such as sensor noise, occlusions, and the inherent sparsity of LiDAR point clouds, which can lead to the ...
Classifying ancient pottery has always depended on the trained judgment of an archaeologist. Identifying the subtle ...
A computational physics approach to modeling rigid object motion using spring forces in Python. This focuses on how spring ...
Inpaint360GS performs flexible, object-aware 3D inpainting in 360° unbounded scenes — not only for individual objects, but also for complex multi-object environments. All images in a scene share the ...
Martial arts robots may play well on stage, but can they get work done? A look at what it takes to deliver the reliability ...
We may receive a commission on purchases made from links. FDM and resin 3D printing have evolved rapidly over the last couple of years. Gone are the days of painstaking setup and leveling; the latest ...
“No permission was granted for the use of our intellectual property,” the company said. The Trump administration frequently promotes policies with content from video games. By Zachary Small Reporting ...
Humanoid robots are becoming harder to distinguish from real people, and a new study from China points to one reason why. Researchers have developed a large-scale 3D facial dataset and a new AI model ...
Abstract: Cameras and radar sensors are complementary in 3D object detection in that cameras specialize in capturing an object's visual information while radar provides spatial information and ...