Ssda3d: Semi-supervised domain adaptation for 3d object detection from point cloud
LiDAR-based 3D object detection is an indispensable task in advanced autonomous driving
systems. Though impressive detection results have been achieved by superior 3D detectors …
systems. Though impressive detection results have been achieved by superior 3D detectors …
SegTrans: Semantic segmentation with transfer learning for MLS point clouds
Three-dimensional point cloud semantic segmentation plays an essential role in fine-
grained scene understanding from photogrammetry to autonomous driving. Although recent …
grained scene understanding from photogrammetry to autonomous driving. Although recent …
Category-level adversaries for outdoor lidar point clouds cross-domain semantic segmentation
Unsupervised domain adaptation (UDA) is a low-cost way to deal with the lack of
annotations in a new domain. For outdoor point clouds in urban transportation scenes, the …
annotations in a new domain. For outdoor point clouds in urban transportation scenes, the …
GPDAN: Grasp pose domain adaptation network for sim-to-real 6-DoF object grasping
In this letter, we propose a novel Grasp Pose Domain Adaptation Network (GPDAN) to
achieve sim-to-real domain adaptation for 6-DoF grasp pose detection. The main task of …
achieve sim-to-real domain adaptation for 6-DoF grasp pose detection. The main task of …
Cycle and semantic consistent adversarial domain adaptation for reducing simulation-to-real domain shift in lidar bird's eye view
The performance of object detection methods based on LiDAR information is heavily
impacted by the availability of training data, usually limited to certain laser devices. As a …
impacted by the availability of training data, usually limited to certain laser devices. As a …
Semantic Segmentation of Transmission Corridor 3D Point Clouds Based on CA-PointNet++
G Wang, L Wang, S Wu, S Zu, B Song - Electronics, 2023 - mdpi.com
Automated extraction of key points from three-dimensional (3D) point clouds in transmission
corridors provides technical support for digital twin construction and risk management of the …
corridors provides technical support for digital twin construction and risk management of the …
Dali: Domain adaptation in lidar point clouds for 3d obstacle detection
The use of modern LiDAR devices for onboard 3D object detection has paved the road for
vehicles' full automation. Deep learning approaches leveraging the high-resolution spatial …
vehicles' full automation. Deep learning approaches leveraging the high-resolution spatial …
Multi-prototype Relational Network for Few-Shot ALS Point Cloud Semantic Segmentation by Transferring Knowledge from Photogrammetric Point Clouds
M Dai, S Xing, Q Xu, P Li, J Pan… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Existing airborne laser scanning (ALS) point cloud semantic segmentation approaches are
limited by their overreliances on sufficient point-wise annotations that further confine their …
limited by their overreliances on sufficient point-wise annotations that further confine their …
Weakly-Supervised Semantic Segmentation of ALS Point Clouds Based on Auxiliary Line and Plane Point Prediction
J Chen, Y Zhang, F Ma, K Huang… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
The segmentation of airborne lidar scanning (ALS) point clouds is one of the basic tasks in
remote sensing field. The existed learning-based methods have acquired satisfactory …
remote sensing field. The existed learning-based methods have acquired satisfactory …
[PDF][PDF] 多特征约束的输电通道杆塔点云提取
王濮， 王成， 习晓环， 聂胜， 杜蒙 - 遥感学报, 2024 - ygxb.ac.cn
杆塔自动识别是机载LiDAR (Light Detection And Ranging) 电力巡检应用的重要内容,
特别是长距离, 规模化应用时, 高效高精度的杆塔点云提取尤为重要. 针对复杂地形环境下输电 …
特别是长距离, 规模化应用时, 高效高精度的杆塔点云提取尤为重要. 针对复杂地形环境下输电 …