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Monouni: A unified vehicle and infrastructure-side monocular 3d object detection network with sufficient depth clues
Monocular 3D detection of vehicle and infrastructure sides are two important topics in
autonomous driving. Due to diverse sensor installations and focal lengths, researchers are …
autonomous driving. Due to diverse sensor installations and focal lengths, researchers are …
MonoLSS: Learnable sample selection for monocular 3D detection
In the field of autonomous driving, monocular 3D detection is a critical task which estimates
3D properties (depth, dimension, and orientation) of objects in a single RGB image …
3D properties (depth, dimension, and orientation) of objects in a single RGB image …
RopeBEV: A Multi-Camera Roadside Perception Network in Bird's-Eye-View
Multi-camera perception methods in Bird's-Eye-View (BEV) have gained wide application in
autonomous driving. However, due to the differences between roadside and vehicle-side …
autonomous driving. However, due to the differences between roadside and vehicle-side …
Preface to special topic on AI algorithms and cases: to energize digital economy
Z Xu, HT Shen, SM Hu - National Science Review, 2023 - academic.oup.com
Since the turn of the century, innovations in science and technology have been in full swing
across the globe. A new wave of scientific inventions and industrial transformations are …
across the globe. A new wave of scientific inventions and industrial transformations are …