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3D object detection for autonomous driving: A comprehensive survey
Autonomous driving, in recent years, has been receiving increasing attention for its potential
to relieve drivers' burdens and improve the safety of driving. In modern autonomous driving …
to relieve drivers' burdens and improve the safety of driving. In modern autonomous driving …
Robustness-aware 3d object detection in autonomous driving: A review and outlook
In the realm of modern autonomous driving, the perception system is indispensable for
accurately assessing the state of the surrounding environment, thereby enabling informed …
accurately assessing the state of the surrounding environment, thereby enabling informed …
Is pseudo-lidar needed for monocular 3d object detection?
Recent progress in 3D object detection from single images leverages monocular depth
estimation as a way to produce 3D pointclouds, turning cameras into pseudo-lidar sensors …
estimation as a way to produce 3D pointclouds, turning cameras into pseudo-lidar sensors …
Categorical depth distribution network for monocular 3d object detection
Monocular 3D object detection is a key problem for autonomous vehicles, as it provides a
solution with simple configuration compared to typical multi-sensor systems. The main …
solution with simple configuration compared to typical multi-sensor systems. The main …
Monodtr: Monocular 3d object detection with depth-aware transformer
Monocular 3D object detection is an important yet challenging task in autonomous driving.
Some existing methods leverage depth information from an off-the-shelf depth estimator to …
Some existing methods leverage depth information from an off-the-shelf depth estimator to …
Objects are different: Flexible monocular 3d object detection
The precise localization of 3D objects from a single image without depth information is a
highly challenging problem. Most existing methods adopt the same approach for all objects …
highly challenging problem. Most existing methods adopt the same approach for all objects …