Tribodes: A tri-blockchain-based detection and sharing scheme for dangerous road condition information in internet of vehicles

H Qin, Y Tan, Y Chen, W Ren… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Bad weather or environmental factors, particularly in remote mountain areas, may result in
unsafe driving conditions and consequently road traffic accidents. As the deployment of …

Road condition detection and emergency rescue recognition using on-board UAV in the wildness

C Liu, T Szirányi - Remote Sensing, 2022 - mdpi.com
Unmanned aerial vehicle (UAV) vision technology is becoming increasingly important,
especially in wilderness rescue. For humans in the wilderness with poor network conditions …

Passable area segmentation for open-pit mine road from vehicle perspective

C Zheng, L Liu, Y Meng, M Wang, X Jiang - Engineering Applications of …, 2024 - Elsevier
Recognition of passable areas of mine roads based on vehicle perspective is crucial for
autonomous vehicles to drive in unmanned open-pit mine scenes. In the past few years …

A Laplace operator-based active contour model with improved image edge detection performance

P Ma, H Yuan, Y Chen, H Chen, G Weng, Y Liu - Digital Signal Processing, 2024 - Elsevier
Active contour model (ACM) is an important branch in the field of image segmentation, since
it adapts to different image types and scenes. However, traditional ACMs rely on local image …

Multi-Scale Road Matching Based on the Summation Product of Orientation and Distance and Shape Descriptors

Y Sun, Y Lu, Z Ding, Q Wen, J Li, Y Liu… - … International Journal of …, 2023 - mdpi.com
Most commonly used road-based homonymous entity matching algorithms are only
applicable to the same scale, and are weak in recognizing the one-to-many and many-to …

A lightweight detection method of pavement potholes based on binocular stereo vision and deep learning

C Xing, G Zheng, Y Zhang, H Deng, M Li… - … and Building Materials, 2024 - Elsevier
The identification of pavement defects is crucial and must be done efficiently, accurately, and
cost-effectively. A commercial-grade sports camera and mobile vehicle work together to …

[PDF][PDF] 基于超分辨率角点检测算法的双目相机高精度标定方法

孙婷, 陈娜, 孟然, 龙潜, 谢启伟 - Laser & Optoelectronics …, 2023 - researching.cn
摘要双目相机标定是研究立体视觉的基础工作, 标定的精度是视觉测量精度的关键.
图像角点提取是相机标定的基础, 但在现实应用场景中, 外界影响使获取的图像不清晰 …

An evaluation system based on user big data management and artificial intelligence for automatic vehicles

P Shanshan, M Chao, Z Haitao, L Kun - Journal of Organizational …, 2022 - igi-global.com
As artificial intelligence technique is widely used in the automatic driving system, the safety
evaluation of automatic vehicles is considered to be the most important demand. Under this …

Multi-Tree Compact Hierarchical Tensor Recurrent Neural Networks for Intelligent Transportation System Edge Devices

D Liu, LT Yang, R Zhao, X Deng… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Recurrent neural networks (RNNs) and their variants can efficiently capture the features of
time-series characteristic data and are widely used for intelligent transportation tasks …

Transformer Based Binocular Disparity Prediction with Occlusion Predict and Novel Full Connection Layers

Y Liu, X Xu, B Xiang, G Chen, G Gong, H Lu - Sensors, 2022 - mdpi.com
The depth estimation algorithm based on the convolutional neural network has many
limitations and defects by constructing matching cost volume to calculate the disparity: using …