Pseudo-Mono for Monocular 3D Object Detection in Autonomous Driving

Current monocular 3D object detection algorithms generally suffer from inaccurate depth estimation, which leads to reduction of detection accuracy. The depth error from image-to-image generation for the stereo view is insignificant compared with the gap in single-image generation. Therefore, a novel...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on circuits and systems for video technology Jg. 33; H. 8; S. 3962 - 3975
Hauptverfasser:	Tao, Chongben, Cao, Jiecheng, Wang, Chen, Zhang, Zufeng, Gao, Zhen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.08.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	3D object detection Ablation Algorithms Decoding Feature extraction Feature maps Heuristic algorithms Image enhancement Image processing multi-scale feature Object detection Object recognition sparse anchor point stereo images Three-dimensional displays transformer Transformers Visualization
ISSN:	1051-8215, 1558-2205
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!