Roadside lidar vehicle detection and tracking using range and intensity background subtraction
In this study, we developed the solution of roadside LiDAR object detection using a
combination of two unsupervised learning algorithms. The 3D point clouds are firstly …
combination of two unsupervised learning algorithms. The 3D point clouds are firstly …
A monocular-based framework for accurate identification of spatial-temporal distribution of vehicle wheel loads under occlusion scenarios
B Xu, X Liu, G Feng, C Liu - Engineering Applications of Artificial …, 2024 - Elsevier
Ensuring the safety and durability of roads and bridges necessitates the accurate
identification of spatial-temporal distribution of vehicle loads. This can be achieved using …
identification of spatial-temporal distribution of vehicle loads. This can be achieved using …
Development of lung segmentation method in x-ray images of children based on TransResUNet
Background Chest x-ray (CXR) is widely applied for the detection and diagnosis of children's
lung diseases. Lung field segmentation in digital CXR images is a key section of many …
lung diseases. Lung field segmentation in digital CXR images is a key section of many …
A Car-Following Model Integrating Personalized Driving Style Based on the DER-DDPG Deep Reinforcement Learning Algorithm
C Ran, Z Xie, Y Xie, Y Yin, H Ye - IEEE Access, 2024 - ieeexplore.ieee.org
Decision-making and control play a crucial role in autonomous driving to ensure the safety
and efficiency of vehicle operation. With the development of intelligent driving technology …
and efficiency of vehicle operation. With the development of intelligent driving technology …
Longitudinal Scanline Based Spatial-Temporal Modeling and Processing for Vehicle Trajectory Reconstruction
T Zhang - 2022 - search.proquest.com
Abstract The Artificial Intelligent (AI) and Connected Automated Vehicle (CAV) technology
allow innovative approaches to gather and analyze traffic data, helping traffic managers to …
allow innovative approaches to gather and analyze traffic data, helping traffic managers to …
Spatial-Temporal Deep Embedding for Vehicle Trajectory Reconstruction from High-Angle Video
H Zhou, B Piccoli - arXiv preprint arXiv:2209.08417, 2022 - arxiv.org
Spatial-temporal Map (STMap)-based methods have shown great potential to process high-
angle videos for vehicle trajectory reconstruction, which can meet the needs of various data …
angle videos for vehicle trajectory reconstruction, which can meet the needs of various data …
Methodology of Driving Scenario Extraction Based on Vehicle Trajectory
X WANG, H WU - 2023 - odr.chalmers.se
In the development of autonomous drive functions, in-house testing and simulation are
indispensable, which are very dependent on large amounts of data. Unfortunately, labeling …
indispensable, which are very dependent on large amounts of data. Unfortunately, labeling …
[PDF][PDF] Research Article Roadside LiDAR Vehicle Detection and Tracking Using Range and Intensity Background Subtraction
T Zhang, PJ Jin - 2022 - academia.edu
In this study, we developed the solution of roadside LiDAR object detection using a
combination of two unsupervised learning algorithms. e 3D point clouds are firstly converted …
combination of two unsupervised learning algorithms. e 3D point clouds are firstly converted …