A comprehensive survey of LIDAR-based 3D object detection methods with deep learning for autonomous driving
LiDAR-based 3D object detection for autonomous driving has recently drawn the attention of
both academia and industry since it relies upon a sensor that incorporates appealing …
both academia and industry since it relies upon a sensor that incorporates appealing …
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 …
Not all points are equal: Learning highly efficient point-based detectors for 3d lidar point clouds
Y Zhang, Q Hu, G Xu, Y Ma, J Wan… - Proceedings of the …, 2022 - openaccess.thecvf.com
We study the problem of efficient object detection of 3D LiDAR point clouds. To reduce the
memory and computational cost, existing point-based pipelines usually adopt task-agnostic …
memory and computational cost, existing point-based pipelines usually adopt task-agnostic …
Cia-ssd: Confident iou-aware single-stage object detector from point cloud
Existing single-stage detectors for locating objects in point clouds often treat object
localization and category classification as separate tasks, so the localization accuracy and …
localization and category classification as separate tasks, so the localization accuracy and …
Cross-modality knowledge distillation network for monocular 3d object detection
Y Hong, H Dai, Y Ding - European Conference on Computer Vision, 2022 - Springer
Leveraging LiDAR-based detectors or real LiDAR point data to guide monocular 3D
detection has brought significant improvement, eg, Pseudo-LiDAR methods. However, the …
detection has brought significant improvement, eg, Pseudo-LiDAR methods. However, the …
Deep learning-based perception systems for autonomous driving: A comprehensive survey
With the rapid development of society and the economy, autonomous driving techniques are
widely applied in many areas, such as autonomous vehicles, autonomous drones, and …
widely applied in many areas, such as autonomous vehicles, autonomous drones, and …
VP-Net: Voxels as points for 3-D object detection
The 3-D object detection with light detection and ranging (LiDAR) point clouds is a
challenging problem, which requires 3-D scene understanding, yet this task is critical to …
challenging problem, which requires 3-D scene understanding, yet this task is critical to …
Spatial information enhancement network for 3D object detection from point cloud
LiDAR-based 3D object detection pushes forward an immense influence on autonomous
vehicles. Due to the limitation of the intrinsic properties of LiDAR, fewer points are collected …
vehicles. Due to the limitation of the intrinsic properties of LiDAR, fewer points are collected …
From voxel to point: IoU-guided 3D object detection for point cloud with voxel-to-point decoder
In this paper, we present an Intersection-over-Union (IoU) guided two-stage 3D object
detector with a voxel-to-point decoder. To preserve the necessary information from all raw …
detector with a voxel-to-point decoder. To preserve the necessary information from all raw …
CL3D: Camera-LiDAR 3D object detection with point feature enhancement and point-guided fusion
Camera-LiDAR 3D object detection has been extensively investigated due to its significance
for many real-world applications. However, there are still of great challenges to address the …
for many real-world applications. However, there are still of great challenges to address the …