We present Bayesian filter of variable RF transmission power (BFVP), a filter-based algorithm and radio-frequency identification (RFID) model for localizing passive ultra high frequency (UHF) RFID tags in complex environments, such as distribution centers/warehouses retail sales floors. It enables commercial off-the-shelf (COTS) RFID-equipped robot to provide the precise locations UHF tagged items. First, navigates fully covers target space collect observation using COTS reader at power....

Abstract Spatiotemporal information of the vehicles on a bridge is important evidence for reflecting stress state and traffic density bridge. A methodology obtaining proposed based computer vision technology, which contains detection by Faster region‐based convolutional neural network (Faster R‐CNN), multiple object tracking, image calibration. For minimizing time, ZF (Zeiler & Fergus) model with five layers selected as shared part between Region Proposal Network Fast R‐CNN in R‐CNN. An...

The development of robotic systems for apple picking is indeed a crucial advancement in agricultural technology, particularly light the ongoing labor shortages and continuous evolution automation technologies. Currently, during complex environments, it difficult to classify identify growth pattern an obtain information on its attitude synchronously. In this paper, through integration deep learning stereo vision apples natural environment are identified, three-dimensional spatial positioning...

Abstract Since cables are the critical structural components for ensuring overall integrity and safety of cable‐stayed bridges, portable rapid cable force measurement has a very important practical significance in bridge health monitoring. In this paper, method simultaneous continuous estimation forces multiple using self‐developed microwave interferometric radar was proposed. proposed approach, first, time‐varying modal frequencies identified by Hilbert transform algorithm from...

With the fast-growing adoption of radio-frequency identification (RFID) technology, RFID-based sensors have attracted great interest. Due to limitation RFID tags, most existing temperature sensing works rely on hardware modification, which increases cost and hampers its deployment. In this article, we propose RFThermometer, a remote system with commercial ultra high frequency (UHF) tags. We first investigate effect phases. To alleviate precision deterioration caused by missing phase...

With the increasing demand for location-based service, WiFi-based localization has become one of most popular methods due to wide deployment WiFi and its low cost. To improve this technology, we propose DeepMap, a deep Gaussian process indoor radio map construction location estimation. Received signal strength (RSS) samples are used in DeepMap generate accurate fine-grained maps. A two-layer model is designed determine relationship between RSS samples, while parameters optimized with an...

The multidimensional transfer function is a flexible and effective tool for exploring volume data. However, designing an appropriate trial-and-error process remains challenge. In this paper, we propose novel exploration scheme that explores volumetric structures in the feature space by modeling using Gaussian mixture model (GMM). Our new approach has three distinctive advantages. First, initial separation can be automatically achieved through GMM estimation. Second, calculated Gaussians...

The development of sustainable mobility solutions calls for significant advances in travel demand data collection beyond the long-term static planning usually available at agencies. This paper proposes a combined clustering, regression, and gravity model to estimate an origin-destination (OD) matrix non-commuting trips based on Foursquare user check-in Chicago urban area. estimated OD is found be similar ground-truth obtained from CMAP (Chicago Metropolitan Agency Planning). potential...

Although Unmanned Aerial Vehicles (UAV) are usually deploy outdoors, there is increasing interest in applying UAVs for indoor applications. It a highly attractive and challenging task to precisely localize UAV an environment where Global Positioning System (GPS) service absent. In this paper, we present RFUAV, Radio-frequency Identification (RFID) enhanced system that provides precise 6 degrees of freedom (6-DoF) pose UAVs. With three or more ultra high frequency (UHF) RFID tags attached the...

As the vital node of a passenger transportation network, hub is connection between multiple travel modes and important port for massive flow to enter into or exit from city area. Transportation operators need understand pattern management, planning, so on. However, it difficult use traditional methods, such as video detection, provide information. With increasing number mobile phone users, data have shown remarkable potential in detecting information with high sampling coverage low cost....

Current image steganography techniques are mainly focused on cover-based methods, which commonly have the risk of leaking secret images and poor robustness against degraded container images. Inspired by recent developments in diffusion models, we discovered that two properties ability to achieve translation between without training, noisy data, can be used improve security natural tasks. For choice model, selected Stable Diffusion, a type conditional fully utilized latest tools from...

While novel view synthesis (NVS) has made substantial progress in 3D computer vision, it typically requires an initial estimation of camera intrinsics and extrinsics from dense viewpoints. This pre-processing is usually conducted via a Structure-from-Motion (SfM) pipeline, procedure that can be slow unreliable, particularly sparse-view scenarios with insufficient matched features for accurate reconstruction. In this work, we integrate the strengths point-based representations (e.g., Gaussian...

This study focuses on the application of modified asphalt in highway construction and improvement pavement durability. Analyzing its material properties, techniques, actual effects, it is shown that can significantly enhance fatigue resistance, rutting crack resistance road surfaces, perform well complex climates heavy traffic. Practical cases demonstrate successful different sections, providing technical support practical basis for construction. Finally, looking forward to development trend...

The use of RFID technology is increasing in retail stores, because it improves the performance automated checkout, inventory and theft detection systems. In this paper, we present a novel implementation mobile robot that can perform autonomously. autonomously generate path to cover all merchandise within boundaries given store map, then by following generated path. Experimental results show our efficiently based on sales floor with complex layout, provides accuracy compares favorably manual...

In this paper, we present an RFID based human and Unmanned Aerial Vehicle (UAV) Interaction system, termed RFHUI, to provide intuitive easy-to-operate method navigate a UAV in indoor environment. It relies on the passive Radio-Frequency IDentification (RFID) technology precisely track pose of handheld controller, then transfer information UAV. A prototype controller is created by attaching three or more Ultra High Frequency (UHF) tags board. Commercial Off-The-Shelf (COTS) reader with...

Posture recognition has been widely applied in fields such as physical training, environmental awareness, human-computer-interaction, surveillance system and elderly health care. The traditional methods consist of two main variations: machine vision acceleration sensor methods. former the disadvantages privacy invasion, high cost complex implementation processes, while latter low rate for still postures. A new body posture scheme based on indoor positioning technology is presented this...

Recent developments in Unmanned Aerial Vehicles (UAVs) and Ground (UGVs) have made them highly useful for various tasks. However, they both their respective constraints that make incapable of completing intricate tasks alone many scenarios. For example, a UGV is unable to reach high places, while UAV limited by its power supply payload capacity. In this paper, we propose an Imitation Augmented Deep Reinforcement Learning (IADRL) model enables form coalition complementary cooperative are...

Recently, a novel retina-inspired camera, namely spike has shown great potential for recording high-speed dynamic scenes. Unlike conventional digital cameras that compact the visual information within an exposure interval into single snapshot, camera continuously outputs binary streams to record scenes, yielding very high temporal resolution. Most of existing reconstruction methods focus on reconstructing images with same resolution as camera. However, trade-off resolution, spatial is...