3D object detection for autonomous driving: A comprehensive survey

J Mao, S Shi, X Wang, H Li - International Journal of Computer Vision, 2023 - Springer
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 …

Robustness-aware 3d object detection in autonomous driving: A review and outlook

Z Song, L Liu, F Jia, Y Luo, C Jia… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
In the realm of modern autonomous driving, the perception system is indispensable for
accurately assessing the state of the surrounding environment, thereby enabling informed …

Is pseudo-lidar needed for monocular 3d object detection?

D Park, R Ambrus, V Guizilini, J Li… - Proceedings of the …, 2021 - openaccess.thecvf.com
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 …

Categorical depth distribution network for monocular 3d object detection

C Reading, A Harakeh, J Chae… - Proceedings of the …, 2021 - openaccess.thecvf.com
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 …

Monodtr: Monocular 3d object detection with depth-aware transformer

KC Huang, TH Wu, HT Su… - Proceedings of the IEEE …, 2022 - openaccess.thecvf.com
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 …

Objects are different: Flexible monocular 3d object detection

Y Zhang, J Lu, J Zhou - … of the IEEE/CVF Conference on …, 2021 - openaccess.thecvf.com
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 …