… density of raw PseudoLiDAR for monocular 3D object detection for autonomous driving.
Without … scheme of PseudoLiDAR prior to 3D detection. Both the strategies assist the standard …

… query generated by random initialization requires a decoder cascade to refine … Pseudo-lidar
from visual depth estimation: Bridging the gap in 3d object detection for autonomous driving…

… -stage self-supervised network to predict and refine dense depth … Benefited from the 2D-to-3D
mapping, the pseudo-LiDAR-based … depth for 3d object detection in autonomous driving. …

… Refinedmpl: Refined monocular pseudolidar for 3d object detection in autonomous driving.
arXiv preprint arXiv:1911.09712, 2019. 2, 6 [62] Sudheendra Vijayanarasimhan, Susanna …

… vision) is an indispensable part of future autonomous driving [51] and robot vision […
pseudoLiDAR, we propose to (1) use a 2D-3D bounding box consistency constraint to refine our 3D …

… Are we missing confidence in pseudo-lidar methods for monocular 3d object detection? In
… Refinedmpl: Refined monocular pseudolidar for 3d object detection in autonomous driving. …

… Monocular 3D object detection is an important and challenging task in autonomous driving.
Due to the … For the high point density of raw pseudo-LiDAR, Refined-MPL [44] firstly identifies …

… of autonomous driving has underscored the pivotal role of 3D perception. Monocular 3D object
detection, … the representation of pseudo-lidar to facilitate 3D object detection. This method …

… 3D object detection based on the monocular Pseudo-LiDAR is cost-effective compared with
multi-sensor solutions in autonomous driving, … Pseudo-LiDAR is larger than that of the object …

… density of raw PseudoLiDAR for monocular 3D object detection for autonomous driving.
Without … scheme of PseudoLiDAR prior to 3D detection. Both the strategies assist the standard …