A novel quantum model of mass function for uncertain information fusion
X Deng, S Xue, W Jiang - Information Fusion, 2023 - Elsevier
Understanding the uncertainty involved in a mass function is a central issue in Dempster–
Shafer evidence theory for uncertain information fusion. Recent advances suggest to …
Shafer evidence theory for uncertain information fusion. Recent advances suggest to …
Analyzing factors influencing situation awareness in autonomous vehicles—A survey
Autonomous driving of higher automation levels asks for optimal execution of critical
maneuvers in all environments. A crucial prerequisite for such optimal decision-making …
maneuvers in all environments. A crucial prerequisite for such optimal decision-making …
RI-Fusion: 3D object detection using enhanced point features with range-image fusion for autonomous driving
The 3D object detection is becoming indispensable for environmental perception in
autonomous driving. Light detection and ranging (LiDAR) point clouds often fail to …
autonomous driving. Light detection and ranging (LiDAR) point clouds often fail to …
Instance-guided point cloud single object tracking with inception transformer
Single object tracking (SOT) in light detection and ranging (LiDAR) point clouds is a
challenging problem in computer vision. Compared to object-level point clouds, scene-level …
challenging problem in computer vision. Compared to object-level point clouds, scene-level …
A branch-trunk-constrained hierarchical clustering method for street trees individual extraction from mobile laser scanning point clouds
J Li, X Cheng, Z Xiao - Measurement, 2022 - Elsevier
The three-dimensional individual expression of street trees in the point cloud of urban road
environments has important applications in many aspects. We propose a branch-trunk …
environments has important applications in many aspects. We propose a branch-trunk …
DeepPCT: Single object tracking in dynamic point cloud sequences
Three-dimensional single object tracking (SOT) in dynamic point cloud sequences is a
fundamental problem for numerous intelligent systems. In this article, we propose a deep …
fundamental problem for numerous intelligent systems. In this article, we propose a deep …
A robust and reliable point cloud recognition network under rigid transformation
Point cloud recognition is an essential task in industrial robotics and autonomous driving.
Recently, several point cloud processing models have achieved state-of-the-art …
Recently, several point cloud processing models have achieved state-of-the-art …
Learning compact transformation based on dual quaternion for point cloud registration
Accurately estimating 3-D rigid body transformation is a critical step for correspondences-
free point cloud registration method. However, recently proposed methods have faced …
free point cloud registration method. However, recently proposed methods have faced …
Haze elimination model-based color saturation adjustment with contrast correction
R Kumar, AK Bhandari, M Kumar - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this article, an effective contrast enhancement algorithm has been proposed to enhance
the contrast of an image with preserved color details and visually similar to the undistorted …
the contrast of an image with preserved color details and visually similar to the undistorted …
DFFIR-net: Infrared dim small object detection network constrained by gray-level distribution model
Z Yang, T Ma, Y Ku, Q Ma, J Fu - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
A new deep learning method based on the target gray-level distribution constraint
mechanism model is proposed to solve the infrared dim small target detection problem in the …
mechanism model is proposed to solve the infrared dim small target detection problem in the …