The dataset presented in this article is an update of the dataset provided by K. Edanami and G. Sun entitled "Medical radar Signal dataset for Non-Contact Respiration and Heart Rate Measurement" [1]. The new...
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The dataset presented in this article is an update of the dataset provided by K. Edanami and G. Sun entitled "Medical radar Signal dataset for Non-Contact Respiration and Heart Rate Measurement" [1]. The new dataset includes radar signals and reference laser measurements from experiments conducted on anesthetized rats. The rats were placed in a prone position, and isoflurane was administered in varying concentrations to maintain anesthesia. A 24 GHz radar and laser sensor were positioned above the rats to capture the necessary data. The dataset contains time-stamped radar I and Q channel signals as well as laser measurements. Additionally, MATLAB code for signal visualization and FFT (fast Fourier transform)-based respiration rate estimation is provided. This comprehensive dataset and accompanying MATLAB code facilitate the advancement of non-invasive respiration measurement techniques in small animals, with potential applications in biomedical research. (c) 2024 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY-NC license ( http://***/licenses/by-nc/4.0/ )
This paper introduces a modified online intelligent calibration method to calibrate radar and camera sensors in traffic scenarios. radar and camera sensor calibration is to construct a one-to-one mapping between the r...
This paper introduces a modified online intelligent calibration method to calibrate radar and camera sensors in traffic scenarios. radar and camera sensor calibration is to construct a one-to-one mapping between the radar coordinate system and the image pixel coordinate system. Based on the currently widely used artificial intelligence method (deep neural networks), camera can accurately recognize the target type. For the research and application of radarsensor and camera sensor fusion, the most important thing is to synchronize the sensor sampling time of the radar and the camera and space calibration. This paper emphasizes on spatial calibration. At present, the common calibration methods are the calibration method based on the internal and external parameters of the camera, the four-point calibration method, and the neural network calibration method. However, these three calibration methods have significant advantages and disadvantages. In the field of transportation, the disadvantages are even more prominent. This paper proposes a modified online intelligent calibration method for the application field of radar and camera sensors in traffic scenarios. We have proved through simulation experiments that this method is less time-consuming and manual operation while ensuring high-precision calibration performance.
Aiming at the problem that mm-wave radar tracking target is easy to lose when in crooked roads, a vehicle target tracking method based on Unscented Kalman Filter (UKF) and sensor fusion is proposed. This method uses m...
Aiming at the problem that mm-wave radar tracking target is easy to lose when in crooked roads, a vehicle target tracking method based on Unscented Kalman Filter (UKF) and sensor fusion is proposed. This method uses mm-wave radar and camera to obtain vehicle targets' information in crooked roads at the same time. Then, according to whether mm-wave radar tracking target is lost or not, different tracking methods based on UKF are adopted. When the mm-wave radar tracking target is not lost, the historical and current data information of mm-wave radar are taken as the state information and measurement information, directly calculating the tracking vehicle parameters such as position, distance and speed; When the mm-wave radar tracking target is lost, a sensor fusion strategy is adopted. The historical data information of mm-wave radar is still the state information, and the camera vision image information of the tracking target becomes the measurement information, integrating the two sensors' information to get the tracking vehicle parameters. And the result will serve as next moment's state information for continuous tracking to solve the mm-wave radar tracking target loss problem in crooked roads. Finally, the validity of this method is verified by real road experiments.
This research focuses on the development of Smart Level Crossing for preventing the accidents in the level crossing by detecting train at a certain distance before reaching the train gate inside the level crossing are...
This research focuses on the development of Smart Level Crossing for preventing the accidents in the level crossing by detecting train at a certain distance before reaching the train gate inside the level crossing area. In order to detect the train in the level crossing, sensors for detecting train and communication systems that sends data to the train gate must be determined. This research tries to utilize a radar-based sensor as main part for train detection. This system would communicate with the micro-controller to accordingly carry out the gate closing and opening operations. Warning lamp and warning light would be present to warn off pedestrians that use level area crossing. Manual back up system will replace the automatic system in the case of smart level crossing system sensor fail to trigger.
With the development of information technology and sensortechnology, we can get and use lots of multi-sensors data more frequently, which acquired from military action. It has become difficult for users to find infor...
With the development of information technology and sensortechnology, we can get and use lots of multi-sensors data more frequently, which acquired from military action. It has become difficult for users to find information that satisfies their needs, so it has become a great challenge for information science and technology that how to organize and process the massive documents quickly, exactly, and fully. This paper propose a method of combat data management using ArcSDE spatial data engine with ESRI and relation database, based on analyzing all kinds of method of combat data management. The authors developed combat data analysis system based on ArcEngine, implementing datavisualization, put data into SDE database and Dynamic display. The paper explains some interfaces in AE briefly, and the system has achieved the anticipated effect under the test.
In the era of modern world, lot of human lives are engaged with this perilous procedure of observation. Reconnaissance is a perilous activity. There is consistently a danger of getting trapped in spying, so we plan to...
In the era of modern world, lot of human lives are engaged with this perilous procedure of observation. Reconnaissance is a perilous activity. There is consistently a danger of getting trapped in spying, so we plan to discover safety with no risk. Doppler radar used for producing true results considering all army activity involved with data during transmission. This project presents an approach in detecting an intruder in a border using Doppler radar-based Intrusion Detection Systems which can be mounted on watch towers, grill fences, top of trees etc., Experimental results show that the use of the display as classifiers are more efficient in malicious intruder accurately. The data collected from the sensor and transmit through the Lora WAN to the hub. The performance of the Intrusion Detection System (IDS) is evaluated in comparison to other classifiers, displaying the testing accuracy, sensitivity, specificity, and precision. Doppler based Intrusion Detection Systems have shown increased efficiency and low false positives. It has the advantages of working in all weather conditions such as heavy sunshine, heavy rainfall with proper data.
The importance of research on new technologies that could be employed in care services for elderly people is highlighted. The need to examine the applicability of various sensor systems for non-invasive monitoring of ...
The importance of research on new technologies that could be employed in care services for elderly people is highlighted. The need to examine the applicability of various sensor systems for non-invasive monitoring of the movements and vital bodily functions, such as heart beat or breathing rhythm, of elderly persons in their home environment is justified. An extensive overview of the literature concerning existing monitoring techniques is provided. A technological potential behind radarsensors is indicated. A new class of algorithms for preprocessing of measurement data from impulse radarsensors, when applied for elderly people monitoring, is proposed. Preliminary results of numerical experiments performed on those algorithms are demonstrated.
This paper introduces an intelligent method to calibrate radar and camera sensors for data fusing. Camera can recognize pedestrians, non-motor vehicles, motor vehicles high accuracy by advanced deep learning neural ne...
This paper introduces an intelligent method to calibrate radar and camera sensors for data fusing. Camera can recognize pedestrians, non-motor vehicles, motor vehicles high accuracy by advanced deep learning neural networks. But it's hard to acquire the target's spatial position and speed information simply relying on image. For the radarsensor, it's easy to acquire the target's spatial position and speed information by itself, but it cannot recognize target. In other words, the advantage of radar is the disadvantage of camera, and the advantage of camera is the disadvantage of radar. So combining these two complementary sensors is valid and necessary for solving the problem: Who is doing what. Then the first and foremost thing is to calibrate the radar and camera sensors. Calibration includes time synchronization and space calibration, which will seriously affect the sensors data fusing performance. This paper emphasizes on spatial calibration. Traditional methods (based on the principle of geometric projection or four-point calibration method) cannot acquire enough high calibration accuracy in the general scenarios with low time cost or easy operation. So this paper introduces an online intelligent method to calibrate radar and camera sensor without human assistance operation in the general scenarios. Firstly, we introduce what is spatial calibration. Secondly, we introduce two conventional methods and their defects. And then we introduce the online intelligent calibration method. At last we compare three calibration methods with the actual data to further explain the advance of our new method.
In recent years, the ocean observation technology has made considerable progress with the state's strong support for the marine industry in China. The oil platform has stable power output and reliable structural s...
In recent years, the ocean observation technology has made considerable progress with the state's strong support for the marine industry in China. The oil platform has stable power output and reliable structural support. The measurement parameters are transmitted to the data processing control center through radar wave and tide sensor installed on the platform, and the measurement data are transmitted to the marine environment monitoring and forecasting center using the Beidou satellite communication device.
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