Table 1 also shows the comparison between the DBmeans and the DBmedoids in terms of average misclustering rate and processing time (per frame) using the same total number of data sample frames. In comparison, DBmeans achieves a better average accuracy with 84.75% than DBmedoids with 82.70%....
Localization, and Navigation (PLAN). It covers the requirements, the main players, sensors, and techniques for indoor PLAN. Other than the navigation sensors such as Inertial Navigation System (INS) and Global Navigation Satellite System (GNSS), the environmental-perception sensors such as High-Defi...
Falls are the second most prevalent cause of accidental injury world wide, following traffic accidents1. For individuals aged over 65, falls are the leading cause of injuries, contributing significantly to mortality, morbidity, frailty, and disability2. Annually, approximately 30% of the elderly expe...
This paper reviews the state of the art and future trends of indoor Positioning, Localization, and Navigation (PLAN). It covers the requirements, the main players, sensors, and techniques for indoor PLAN. Other than the navigation sensors such as Inertia
With Supersight, Nest Cam IQ can zoom in on someone walking across the room, while still showing you the full picture Nest Cam IQ plugs into power, so it won’t run out of batteries before it sends an alert. If someone breaks in, you want to know right away HDR and invisible infrare...
The glare detection algorithm runs at 30 frames per second. This run speed is sufficient for real-time operation. Algorithm 1 Calculate Glare Percentage Input: Image Output: glarePercentage if croppingNeeded then 𝑖𝑚𝑎𝑔𝑒←image←CropCenter(𝑖𝑚𝑎𝑔𝑒image)...
The thermal comfort sleep posture dataset was created by collecting data from 2.65 million frames of sleep postures in their natural sleep state. The basic framework and model of human sleep posture detection algorithm were constructed using the residual idea and long short-term memory (LSTM) ...
Frame-to-frame scan matching involves determining the relative differences between two consecutive frames, with overlapping mappings, providing a means to track dynamic objects. These methods are commonly applied in the field of robotics to enable autonomous robots to navigate specific environments. ...
Here, the blue area shows the frames captured as seen from the Lidar’s perspective. In other words, in the center of the disks shown is the Lidar. The blue and red dots correspond to the detected data points. For these same frames, in the absolute reference, we show the data points ...
(b) A view of the standard transform library (tf) tree in the tf rviz plugin. Consider a group of people standing in front of the robot camera 𝑃𝑖Pi, 𝑖=1,2,3,…,𝑁i=1,2,3,…,N, and the RGB-D camera tracking them in real-time over all frames. Let the bounding ...