Driven by applications like Micro Aerial Vehicles (MAVs), driver-less cars, etc, localization solution has become an active research topic in the past decade. In recent years, Ultra Wideband (UWB) emerged as a promising technology because of its impressive performance both indoor and outdoor positioning. But algorithms relying only on UWB sensor usually result high latency low bandwidth, which is undesirable some situations such controlling MAV. To alleviate this problem, Extended Kalman...

Various floating debris in the waterway can be used as one kind of visual index to measure water quality. The traditional image processing method is difficult meet requirements real-time monitoring due complexity environment, such reflection sunlight, obstacles plants, a large difference between near and far target scale, so on. To address these issues, an improved YOLOv5s (FMA-YOLOv5s) algorithm by adding feature map attention (FMA) layer at end backbone proposed. mosaic data augmentation...

Majority of today's fixed-pitch, electric-power quadrotors have short flight endurance (<; 1 hour) which greatly limits their applications. This paper presents a design methodology for the construction long-endurance quadrotor using variable-pitch rotors and gasoline-engine. The consists three aspects. Firstly, rotor blades gasoline engine are selected as pair, so that sufficient lift can be comfortably provided by engine. Secondly, drivetrain airframe designed. Major challenges include...

Recently, multi-rotor unmanned aerial vehicles (UAVs) have grown rapidly in popularity due to their simple structure, low cost and ease of operation. And they been widely used both academic research commercial applications. As a core component UAV, autopilot is normally realize autonomous control navigation, including platform stabilization, flight trajectory generation, mission planning so on. In this paper, we present survey existing autopilots for UAVs. First, will introduce background...

Internet of Things (IoT) devices are hindered from communicating with their neighbors by incompatible protocols or electromagnetic interference. Existing solutions adopting physical covert channels have limitations in receiver distinction, additional hardware, conditional placement, contact. Our system, Deaf-Aid, utilizes the stealthy speaker-to-gyroscope channel to build robust protocol-independent communication automatic identification. Deaf-Aid exploits ultrasonic signals at a frequency...

The Secchi disk is often used to monitor the transparency of water. However, results personal measurement are easily affected by subjective experience and objective environment, it time-consuming. With rapid development computer technology, using image processing technology more accurate than observation. A algorithm proposed combining deep learning, measurement. white part cropped processing. classification network based on resnet18 applied classify segmentation determine critical position...

Recently, visual odometry (VO) has experienced a rapid growth, which makes it viable for range of applications. This survey paper attempts to provide timely and comprehensive review this field, focusing specifically on micro aerial vehicles (MAVs), with monocular, stereo or RGB-D cameras onboard. In survey, the milestones in development VO will be reviewed, followed by an illustration its general workflow, commonly used datasets. The is concluded overall discussion.

Below-canopy UAVs hold promise for automated forest surveys because their sensors can provide detailed information on below-canopy structures, especially in dense forests, which may be inaccessible to above-canopy UAVs, aircraft, and satellites. We present an end-to-end autonomous system estimating tree diameters using a UAV parklands. used simultaneous localization mapping (SLAM) LiDAR data produced at flight time as inputs diameter-estimation algorithms post-processing. The SLAM path was...

Driven by applications like Micro Aerial Vehicles (MAVs), driver-less cars, etc, localization solution has become an active research topic in the past decade. In recent years, Ultra Wideband (UWB) emerged as a promising technology because of its impressive performance both indoor and outdoor positioning. But algorithms relying only on UWB sensor usually result high latency low bandwidth, which is undesirable some situations such controlling MAV. To alleviate this problem, Extended Kalman...

In cyber-physical systems, inertial sensors are the basis for identifying motion states and making actuation decisions. However, extensive studies have proved vulnerability of those under acoustic transduction attacks, which leverage malicious acoustics to trigger sensor measurement errors. Unfortunately, threat from such attacks is not assessed properly because incomplete investigation on attack's potential, especially towards multiple-degree-of-freedom e.g., drones. To thoroughly explore...

This paper examines the problem of motion segmentation by analyzing trajectories with statistical approach. We propose a framework for segmentation, which makes no assumption on camera motion, model, number moving objects and scene complexity. Long range are traced across frames clustered DTW metric. Various descriptors can be used to construct weighted neighbor graph resulted clusters, following spectral clustering retrieve associated motion. is highly extensive because different combined...

In strategic management and corporate entrepreneurship field the literatures indicate that entrepreneurial orientation (EO) improves organizational performance, but empirical results are inconsistent. this paper, we analysis direct effect of EO on performance deem a main providing an incomplete picture implications EO. Internal resources external environments important to development firm, adopt combinational approach explain variance in performance.

According to the demand of raw water sample monitoring for MBR sewage disposal equipment, a system based on 3 image classifiers is designed and implemented in this paper. In system, support vector machine (SVM) classify images collected by acquisition module cooperate with each other, result recognition determining operation equipment certain control strategy. The experimental results show that test accuracy respectively 100%, 98.667%, 98.667%. This operates normally under working...

We present an approach for two-view motion segmentation freely moving cameras, by formulating the epipolar constraint and spacial consistency into a discrete energy minimization problem, which can be efficiently solved using graph cut algorithms. With dense optical flow proper sampling, set of matched points is acquired computing fundamental matrix corresponding lines. The distance to lines, their position on image plane are used construct Markov Random Field (MRF) with label-space....

A new Bayesian network (BN) learning method using a hybrid algorithm and chaos theory is proposed. The principles of mutation crossover in genetic the cloud-based adaptive inertia weight were incorporated into proposed simple particle swarm optimization (sPSO) to achieve better diversity, improve convergence speed. By means ergodicity randomicity algorithm, initial structure population generated by chaotic mapping with uniform search under constraints. When converges local minimal, searching...

This paper describes the development of a novel algorithm to tackle problem real-time video stabilization for unmanned aerial vehicles (UAVs). There are two main components in algorithm: (1) By designing suitable model global motion UAV, proposed avoids necessity estimating most general model, projective transformation, and considers simpler models, such as rigid transformation similarity transformation. (2) To achieve high processing speed, optical-flow based tracking is employed lieu...