Graphbev: Towards robust bev feature alignment for multi-modal 3d object detection
Integrating LiDAR and camera information into Bird's-Eye-View (BEV) representation has
emerged as a crucial aspect of 3D object detection in autonomous driving. However …
emerged as a crucial aspect of 3D object detection in autonomous driving. However …
Dense object detection methods in RAW UAV imagery based on YOLOv8
Z Wu, X Wang, M Jia, M Liu, C Sun, C Wu, J Wang - Scientific Reports, 2024 - nature.com
Accurate, fast and lightweight dense target detection methods are highly important for
precision agriculture. To detect dense apricot flowers using drones, we propose an …
precision agriculture. To detect dense apricot flowers using drones, we propose an …
Sparsedet: a simple and effective framework for fully sparse lidar-based 3D object detection
LiDAR-based sparse 3-D object detection plays a crucial role in autonomous driving
applications due to its computational efficiency advantages. Existing methods either use the …
applications due to its computational efficiency advantages. Existing methods either use the …
SeaDATE: Remedy Dual-Attention Transformer with Semantic Alignment via Contrast Learning for Multimodal Object Detection
Multimodal object detection leverages diverse modal information to enhance the accuracy
and robustness of detectors. Due to its ability to capture long-range dependencies, the …
and robustness of detectors. Due to its ability to capture long-range dependencies, the …
Towards Scenario Generalization for Vision-based Roadside 3D Object Detection
L Yang, X Zhang, J Li, L Wang, C Zhang, L Ju… - arxiv preprint arxiv …, 2024 - arxiv.org
Roadside perception can greatly increase the safety of autonomous vehicles by extending
their perception ability beyond the visual range and addressing blind spots. However …
their perception ability beyond the visual range and addressing blind spots. However …
Ultra-FastNet: an end-to-end learnable network for multi-person posture prediction
T Peng, Y Luo, Z Ou, J Du, G Lin - The Journal of Supercomputing, 2024 - Springer
At present, the top-down approach requires the introduction of pedestrian detection
algorithms in multi-person pose estimation. In this paper, we propose an end-to-end …
algorithms in multi-person pose estimation. In this paper, we propose an end-to-end …
ContextNet: Leveraging Comprehensive Contextual Information for Enhanced 3D Object Detection
C Pei, S Zhang, L Cao, L Zhao - IEEE Access, 2024 - ieeexplore.ieee.org
The progress in object detection for autonomous driving using LiDAR point cloud data has
been remarkable. However, current voxel-based two-stage detectors have not fully …
been remarkable. However, current voxel-based two-stage detectors have not fully …
ET-PointPillars: improved PointPillars for 3D object detection based on optimized voxel downsampling
Y Liu, Z Yang, JL Tong, J Yang, J Peng… - Machine Vision and …, 2024 - Springer
The preprocessing of point cloud data has always been an important problem in 3D object
detection. Due to the large volume of point cloud data, voxelization methods are often used …
detection. Due to the large volume of point cloud data, voxelization methods are often used …