An Improved Yolov5s based Real-time Spontaneous Combustion Point Detection Method

According to the need of the real-time monitoring and displaying of the environment in many areas,to put forward a method of temperature monitoring and displaying, using STC11F32XE microcontroller as the core controller, DS18B20 as temperature acquisition chip, 32X64LED dot matrix screen as a display screen,using the mothod of multi point detection method,real-time monitoring of swimming pool water temperature and room temperature, real-time displaying of Multipoint collecting information, Real time processing the detected temperature, the page display to multipoint temperature display through the wireless remote control module,the system will alarm When the water temperature is too high or too low, to remind managers of real-time processing.To design a clear temperature display for the swimming pool,real time monitoring and controlling is very convenient,after the experimental verification, the system reaches the anticipative goal,the system is an ideal and effective.

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Real-time lane detection and tracking for autonomous vehicle applications

Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering ◽

10.1177/0954407019866989 ◽

2019 ◽

Vol 233 (9) ◽

pp. 2301-2311 ◽

Cited By ~ 1

Author(s):

Xinyu Jiao ◽

Diange Yang ◽

Kun Jiang ◽

Chunlei Yu ◽

Tuopu Wen ◽

...

Keyword(s):

Feature Extraction ◽

Real Time ◽

Detection Method ◽

Autonomous Vehicle ◽

Lane Detection ◽

Vanishing Point ◽

Lane Tracking ◽

Detection And Tracking ◽

Vanishing Point Detection ◽

Point Detection

This article proposes an improved lane detection and tracking method for autonomous vehicle applications. In real applications, when the pose and position of the camera are changed, parameters and thresholds in the algorithms need fine adjustment. In order to improve adaptability to different perspective conditions, a width-adaptive lane detection method is proposed. As a useful reference to reduce noises, vanishing point is widely applied in lane detection studies. However, vanishing point detection based on original image consumes many calculation resources. In order to improve the calculation efficiency for real-time applications, we proposed a simplified vanishing point detection method. In the feature extraction step, a scan-line method is applied to detect lane ridge features, the width threshold of which is set automatically based on lane tracking. With clustering, validating, and model fitting, lane candidates are obtained from the basic ridge features. A lane-voted vanishing point is obtained by the simplified grid-based method, then applied to filter out noises. Finally, a multi-lane tracking Kalman filter is applied, the confirmed lines of which also provide adaptive width threshold for ridge feature extraction. Real-road experimental results based on our intelligent vehicle testbed proved the validity and robustness of the proposed method.

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Development and Application of Quality Control System for Highway Subgrade Construction

智能城市应用 ◽

10.33142/sca.v2i5.814 ◽

2019 ◽

Vol 2 (5) ◽

Author(s):

Tong Wang

Keyword(s):

Quality Control ◽

Real Time ◽

Detection Method ◽

System Development ◽

Effective Control ◽

Construction Process ◽

Development Mode ◽

The Road ◽

Whole Process

The compaction quality of the subgrade is directly related to the service life of the road. Effective control of the subgrade construction process is the key to ensuring the compaction quality of the subgrade. Therefore, real-time, comprehensive, rapid and accurate prediction of construction compaction quality through informatization detection method is an important guarantee for speeding up construction progress and ensuring subgrade compaction quality. Based on the function of the system, this paper puts forward the principle of system development and the development mode used in system development, and displays the development system in real-time to achieve the whole process control of subgrade construction quality.

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