Anti-Bias Association Algorithm for AIS and Radar Tracks Based on Centroid Reference Topological Characteristics

2014 ◽  
Vol 596 ◽  
pp. 511-518
Author(s):  
Lin Qi ◽  
Hai Peng Wang ◽  
Yu Liu ◽  
Cong Wang
Keyword(s):  
Real Time ◽  
Image Matching ◽  
Time Performance ◽  
Simulation Results ◽  
Topological Characteristics ◽  
System Errors ◽  
Association Algorithm

To achieve fast and accurate association for AIS and radar tracks, provide associated track-pairs for subsequent sensor bias registration and situational fusion, this paper presents an anti-bias association algorithm for AIS and radar tracks according to centroid reference topological characteristics (CRT). The algorithm describes the topological characteristics of track-points set on the basis of targets position relative to the centroid of the set to achieve AIS and radar tracks fine association in the presence of radar bias. The proposed algorithm outperforms the traditional tracks association algorithms based on image matching principle (IM) or targets reference topology feature (TRT) in terms of real-time performance, simultaneously has high correctly associated rate. Simulation results show that the falsely associated rate of this algorithm maintains 0, the correctly associated rate maintains above 85%. It can provide reliable associated track-pairs for system errors registration; while the average time-consuming of the algorithm is 1/4 and 1/417 of TRT and IM algorithm, the practicality has been significantly improved.

scholarly journals Pipeline Gaussian Particle Filter and Hardware Design for Attitude Estimation with UAV

2020 ◽  
Vol 2020 ◽  
pp. 1-6 ◽  
Author(s):  
Yali Xue ◽  
Hu Chen ◽  
Jie Chen ◽  
Jiahui Wang
Keyword(s):  
Particle Filter ◽  
Real Time ◽  
Gaussian Noise ◽  
Estimation Algorithm ◽  
Attitude Estimation ◽  
Estimation Accuracy ◽  
Gaussian State ◽  
Time Performance ◽  
Simulation Results ◽  
Non Gaussian

This paper based on the Gaussian particle filter (GPF) deals with the attitude estimation of UAV. GPF algorithm has better estimation accuracy than the general nonlinear non-Gaussian state estimation and is usually used to improve the system’s real-time performance whose noise is specific such as Gaussian noise during the mini UAV positioning and navigation. The attitude estimation algorithm is implemented on FPGA to verify the effectiveness of the Gaussian particle filter. Simulation results have illustrated that the GPF algorithm is effective and has better real-time performance than that of the particle filter.

An Improved ip-iq Harmonic Detection Algorithm

2012 ◽  
Vol 588-589 ◽  
pp. 864-867
Author(s):  
Xue Hai Cui
Keyword(s):  
Real Time ◽  
Single Phase ◽  
Harmonic Component ◽  
Detection Algorithm ◽  
Matlab Simulation ◽  
Harmonic Detection ◽  
Two Phase ◽  
Time Performance ◽  
Three Phase ◽  
Simulation Results

This paper introduces the the basic principle of ip-iq harmonic detection algorithm and puts forward a method of harmonic detection for the single-phase circuit. This method eliminates the three-phase to two-phase and two-phase to the three-phase coordinate transformation, thus effectively reduces the computation ; moreover it has the advantages of good real-time performance and makes the digital control easy. Matlab simulation results show that this method can detect the harmonic component of single-phase and three-phase current accurately and in real-time.

Improved SURF Descriptor Based on Triangle Partition

2013 ◽  
Vol 718-720 ◽  
pp. 2296-2301 ◽  
Author(s):  
Zeng Luan ◽  
Zhai You ◽  
Xiong Wei
Keyword(s):  
Real Time ◽  
Image Matching ◽  
Weighting Function ◽  
Boundary Effect ◽  
Haar Wavelet ◽  
Local Region ◽  
Experimental Results ◽  
Time Performance ◽  
Wavelet Response ◽  
Better Than

In order to improve the robustness and real time performance of SURF based image matching algorithms, a new descriptor is proposed. We compute the new descriptor in a rectangle local region (the side set to 20s). Firstly, the local region is divided into 8 equal triangle subregion. Secondly, local region location grid is rotated to align its dominate orientation to a canonical direction. The keypoint dominate orientation and its orthogonalorientation is defined as the x and y directions of the descriptors local coordinate system.Thirdly, compute the Haar wavelet response in x and y directions within the keypoint local region. In order to reduce the boundary effect and outer noise, Haar wavelet response in the same Grid of different triangle is both assigned to each triangle in different weight, and then a gaussian weighting function is used. Compute the histogram of Haar wavelet response and absolute Haar wavelet response, so each triangle subregion constitutes a vector with 4 dimensions. Finally, a descriptor with 32 dimensions is constituted and the descriptor is normalized to achieve illumination invariance. The experimental results show that the performance of the new descriptor is even better than SURF descriptor.

scholarly journals A Bi-Level Probabilistic Path Planning Algorithm for Multiple Robots with Motion Uncertainty

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Jingchuan Wang ◽  
Ruochen Tai ◽  
Jingwen Xu
Keyword(s):  
Path Planning ◽  
Real Time ◽  
Conflict Avoidance ◽  
System Efficiency ◽  
Multiple Robots ◽  
Time Performance ◽  
Planning Algorithm ◽  
Probabilistic Path Planning ◽  
Simulation Results ◽  
Path Planning Algorithm

For improving the system efficiency when there are motion uncertainties among robots in the warehouse environment, this paper proposes a bi-level probabilistic path planning algorithm. In the proposed algorithm, the map is partitioned into multiple interconnected districts and the architecture of proposed algorithm is composed of topology level and route level generating from above map: in the topology level, the order of passing districts is planned combined with the district crowdedness to achieve the district equilibrium and reduce the influence of robots under motion uncertainty. And in the route level, a MDP method combined with probability of motion uncertainty is proposed to plan path for all robots in each district separately. At the same time, the number of steps for each planning is dependent on the probability to decrease the number of planning. The conflict avoidance is proved, and optimization is discussed for the proposed algorithm. Simulation results show that the proposed algorithm achieves improved system efficiency and also has acceptable real-time performance.

Bandwidth Guaranteed Multicast Scheduling for Buffered Crossbar

2011 ◽  
Vol 474-476 ◽  
pp. 1819-1824
Author(s):  
Peng Wang ◽  
Shu Qiao Chen ◽  
Hong Chao Hu
Keyword(s):  
Real Time ◽  
High Performance ◽  
Scheduling Algorithm ◽  
Round Robin ◽  
Cross Point ◽  
Scheduling Policies ◽  
Time Performance ◽  
Simulation Results ◽  
Multicast Scheduling ◽  
Burst Performance

The limitations in complexities and extensibilities of current scheduling policies based on combined input and cross-point queuing switch (CICQ) are first analyzed. To overcome the deficiencies in supporting fair and QOS scheduling, we propose a fair and simple high-performance multicast scheduling algorithm for Combined Input Crosspoint Queued Switches, which is called multicast Fair Service and Group Smoothed Round Robin (mFGSR). The complexity of the algorithm is onlyO(1).mFGSR groups and schedules flows according to the weight of flows, thus it has good fairness and can adapt to the need of real-time performance. Theorotical analysis and simulation results show that mFGSR exhibits good delay, throughput and anti-burst performance.

Target Type Recognition Algorithm of Imaging GIF Fuze

2013 ◽  
Vol 416-417 ◽  
pp. 1170-1175
Author(s):  
Bin Liu ◽  
Yang Yu Fan ◽  
Jian Guo
Keyword(s):  
Feature Extraction ◽  
Image Segmentation ◽  
Edge Detection ◽  
Real Time ◽  
Target Recognition ◽  
Recognition Rate ◽  
Recognition Algorithm ◽  
Target Type ◽  
Time Performance ◽  
Simulation Results

According to the requirement of aerial infrared target recognition, a group of image segmentation, edge detection, feature extraction, type recognition algorithms are put forward in this article after analysis and comparison of many algorithms. The simulation results show that the typical aerial target type recognition rate of this group of algorithms can reach more than 80%, so that the algorithms have higher ability of target type recognition, and its real-time performance can meet the requirement of imaging GIF fuze.

A Solution for Image Matching Error in SURF

2013 ◽  
Vol 717 ◽  
pp. 523-528
Author(s):  
Xing Xiong ◽  
Byung Jae Choi
Keyword(s):  
Real Time ◽  
Image Matching ◽  
Extraction Method ◽  
Matching Error ◽  
Speeded Up Robust Features ◽  
Time Performance ◽  
Integral Images

SURF (Speeded Up Robust Features) is known to be a famous and strong but computationally still expensive.It has not attained real-time performance yet. In this paper we analysis the SURF in orientation and descriptors extraction method forresolvingsome problems. For example, matching images through the SURF algorithm spends too much time and causes some errors by integral images. We propose a novel orientation and descriptor algorithm to improve the conventional SURF. Theproposed method shows some advantages such as a faster speed.

Design of shifting strategy for capacity adjustment device of power reflux hydraulic transmission systems based on working condition identification

2020 ◽  
pp. 095440702096686
Author(s):  
Yingzhe Kan ◽  
Dongye Sun ◽  
Datong Qin ◽  
Yong Luo ◽  
Minghui Hu ◽  
...  
Keyword(s):  
Real Time ◽  
Working Condition ◽  
Transmission System ◽  
Identification Algorithm ◽  
Hardware In The Loop ◽  
Wheel Loader ◽  
Time Performance ◽  
Shifting Strategy ◽  
Working Principle ◽  
Simulation Results

The performance of a wheel loader (WL) can be improved with the application of a power reflux hydraulic transmission system (PRHTS) with a capacity adjustment device (CA-device). However, due to CA-device’s unique working principle, the traditional shifting strategy is not suitable for CA-device. Apply traditional shifting strategy to CA-device will result in frequent or incorrect shifting. In order to solve this problem, this paper proposes applying the working condition identification to the CA-device shifting strategy. Combining the working principle of PRHTS with CA-device and the analysis of WL V-condition, the requirement for the working condition identification algorithm of the CA-device shifting strategy is obtained, and a working condition identification algorithm for WL V-condition is designed. Simulation results show that applying the working condition identification algorithm to the CA-device shifting strategy can avoid frequent shifts and incorrect shifts. A hardware-in-the-loop platform is built to verify the real-time performance of the shifting strategy. Results show that the proposed shifting strategy exhibits a satisfactory level of real-time performance.

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