A team led by aerospace Ph.D. student Ivan Wu and his advisor Jeff Baur has developed a low-energy, scalable technique that ...
Researchers at the University of Illinois Urbana-Champaign have developed a new method to 3D-print flat composite structures ...
Abstract: Multi-modal fusion can take advantage of the LiDAR and camera to boost the robustness and performance of 3D object detection. However, there are still of great challenges to comprehensively ...
lender 4.5 LTS arrives with studio-grade support; the Blender survey shows ... Snapping now respects the 3D cursor’s rotation, and objects can be parented to specific vertices without entering edit ...
Abstract: False negatives (FN) in 3D object detection, which occur when small, distant, or hidden objects are missed, pose significant safety risks in autonomous driving systems. Recent multi-modal ...
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4D millimeter-wave radar has emerged as a promising sensor for autonomous driving, but effective 3D object detection from both 4D radar and monocular images remains a challenge. Existing fusion ...