scholarly journals An Effective Joint Soft-Sensing Strategy for Multi-Information under Diverse Vehicle Driving Scenarios

Electronics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 505
Author(s):  
Jianfeng Chen ◽  
Jiantian Sun ◽  
Shulin Hu ◽  
Yicai Ye ◽  
Haoqian Huang ◽  
...  
Keyword(s):  
Time Delay ◽  
Fast Response ◽  
Least Square ◽  
Accurate Information ◽  
Recursive Least Square ◽  
Soft Sensing ◽  
The Road ◽  
Vehicle Mass ◽  
Cubature Kalman Filter ◽  
Road Slope

A variety of accurate information inputs are of great importance for automotive control. In this paper, a novel joint soft-sensing strategy is proposed to obtain multi-information under diverse vehicle driving scenarios. This strategy is realized by an information interaction including three modules: vehicle state estimation, road slope observer and vehicle mass determination. In the first module, a variational Bayesian-based adaptive cubature Kalman filter is employed to estimate the vehicle states with the time-variant noise interference. Under the assumption of road continuity, a slope prediction model is proposed to reduce the time delay of the road slope observation. Meanwhile, a fast response nonlinear cubic observer is introduced to design the road slope module. On the basis of the vehicle states and road slope information, the vehicle mass is determined by a forgetting-factor recursive least square algorithm. In the experiments, a contrasted strategy is introduced to analyse and evaluate performance. Results declare that the proposed strategy is effective and has the advantages of low time delay, high accuracy and good stability.

A mass and road slope integrated estimation strategy based on the joint iteration of least square method and Sage-Husa adaptive filter for autonomous logistics vehicle

2021 ◽  
pp. 095440702110417
Author(s):  
Weida Wang ◽  
Yuanbo Zhang ◽  
Ke Chen ◽  
Hua Zhang ◽  
Xiantao Wang ◽  
...  
Keyword(s):  
Adaptive Filter ◽  
Autonomous Vehicles ◽  
Least Square Method ◽  
Estimation Algorithm ◽  
Least Square ◽  
Recursive Least Square ◽  
Estimation Strategy ◽  
Vehicle Mass ◽  
Integrated Estimation ◽  
Road Slope

Autonomous logistics vehicles are characterised by large changes in mass and their performances are greatly influenced by slope. In addition, sensors on autonomous vehicles are expensive and difficult to be installed considering application environment. To address these problems, a novel integrated estimation strategy for vehicle mass and road slope, which is based on the joint iteration of multi-model recursive least square (MMRLS) and Sage-Husa adaptive filter with the strong tracking filter (SH-STF), is proposed by utilising information involving speed, nominal engine torque and inherent parameters of vehicles. Firstly, due to the separate slowly-changing and time-dependent characteristics, the vehicle mass and road slope are estimated by using MMRLS and SH-STF separately. Secondly, the longitudinal dynamics gain and the steering dynamics gain are calculated separately based on each model’s residual probability distribution. Then, the two estimations module are combined by employing an iterative algorithm. Finally, the proposed strategy is verified by simulation and real vehicle tests. The tests result reveals that the estimation algorithm can effective estimate vehicle mass and road slope in real-time under straight going and steering conditions.

Vehicle Trajectory Prediction Based on Road Recognition

2014 ◽  
Vol 599-601 ◽  
pp. 760-766
Author(s):  
Qing Bo Shao ◽  
Hsin Guan ◽  
Xin Jia
Keyword(s):  
Autonomous Vehicle ◽  
Recognition Algorithm ◽  
Least Square ◽  
Prediction Algorithm ◽  
Recursive Least Square ◽  
Trajectory Prediction ◽  
Dynamic Correction ◽  
The Road ◽  
Road Friction ◽  
Vehicle Trajectory

Predicting vehicle trajectory accurately is a crucial task for an autonomous vehicle. It is also necessary for many Advanced Driver Assistance System to predict trajectory of the ego-vehicle’s. In recent years, some vehicles trajectory prediction algorithm is mainly based on a simple Motion Model. This paper puts forward a method which combines road recognition and the hypothesis of steady preview and dynamic correction for trajectory prediction. In the road recognition algorithm, both methods of Kalman Filter (KF) and Recursive Least-Square (RLS) work well to estimate the road slope and road friction coefficient.

Recursive least square vehicle mass estimation based on acceleration partition

2014 ◽  
Vol 27 (3) ◽  
pp. 448-458 ◽  
Author(s):  
Yuan Feng ◽  
Lu Xiong ◽  
Zhuoping Yu ◽  
Tong Qu
Keyword(s):  
Least Square ◽  
Recursive Least Square ◽  
Mass Estimation ◽  
Vehicle Mass

Safety distance model for longitudinal collision avoidance of logistics vehicles considering slope and road adhesion coefficient

2020 ◽  
pp. 095440702095974
Author(s):  
Chen Guo ◽  
Xiaolan Wang ◽  
Lili Su ◽  
Yansong Wang
Keyword(s):  
Collision Avoidance ◽  
Strong Support ◽  
Least Square ◽  
Logistics Industry ◽  
Adhesion Coefficient ◽  
The Road ◽  
Safety Distance ◽  
Distance Model ◽  
The Relationship ◽  
Road Slope

With the acceleration of urbanization process, the country’s strong support for the healthy development of the logistics industry has made urban logistics become a hot topic in recent years. With the increase in the number of logistics vehicles, traffic accidents have become more frequent. Intelligent vehicle collision avoidance system is an important part of advanced safety technology. To increase veracity and practicability of logistics vehicle safety collision avoidance, this paper presents a safety distance model for longitudinal collision avoidance of logistics vehicles considering road slope and road adhesion coefficient. Based on the vehicle kinetic theory, the information of surrounding environment for the vehicle is obtained using environment sensing system adequately, a method is designed to estimate the road slope and road adhesion coefficient. Combined with vehicle dynamics and tire normal force variation, the road slope was estimated. Based on the relationship between slip rate and adhesion coefficient, the Least Square Method is used for multivariate fitting to obtain the relationship between rolling resistance coefficient and road adhesion coefficient, estimate the road adhesion coefficient, and the maximum deceleration of vehicle braking is modified. Therefore, the safety distance model is established. In order to verify the accuracy and effectiveness of the model, three cases are designed for verification: case I is verification of the safety distance model considering the slope factor; case II is verification of the safety distance model considering the road adhesion factor; case III is the safety distance verification considering both the factors of slope and road adhesion coefficient. The result shows that it is necessary to take the factors of road slope and adhesion coefficient into the safety distance model to improve the accuracy of the model.

scholarly journals Online Identification of Multivariable Discrete Time Delay Systems Using a Recursive Least Square Algorithm

2013 ◽  
Vol 2013 ◽  
pp. 1-18 ◽  
Author(s):  
Saïda Bedoui ◽  
Majda Ltaïef ◽  
Kamel Abderrahim
Keyword(s):  
Time Delay ◽  
Discrete Time ◽  
Time Delays ◽  
Least Square ◽  
Delay Systems ◽  
Dynamic Parameters ◽  
Recursive Least Square ◽  
Discrete Time Delay ◽  
Simulation Results ◽  
New Formulation

This paper addresses the problem of simultaneous identification of linear discrete time delay multivariable systems. This problem involves both the estimation of the time delays and the dynamic parameters matrices. In fact, we suggest a new formulation of this problem allowing defining the time delay and the dynamic parameters in the same estimated vector and building the corresponding observation vector. Then, we use this formulation to propose a new method to identify the time delays and the parameters of these systems using the least square approach. Convergence conditions and statistics properties of the proposed method are also developed. Simulation results are presented to illustrate the performance of the proposed method. An application of the developed approach to compact disc player arm is also suggested in order to validate simulation results.

Transmission Line Protective Relay Based on Recursive Least-Square Filters and Weights Analysis

2018 ◽  
Vol 11 (5) ◽  
pp. 277 ◽  
Author(s):  
David Felipe Celeita Rodriguez ◽  
Gustavo Ramos ◽  
A. P. Sakis Meliopoulos
Keyword(s):  
Transmission Line ◽  
Least Square ◽  
Recursive Least Square ◽  
Protective Relay

scholarly journals Acute coronary syndrome: which age group tends to delay call for help?

2021 ◽  
Vol 73 (1) ◽  
Author(s):  
Ahmed Ayuna ◽  
Ayyaz Sultan
Keyword(s):  
Acute Coronary Syndrome ◽  
Time Delay ◽  
Local Population ◽  
Age Groups ◽  
Age Group ◽  
Teaching Programme ◽  
The Road ◽  
Coronary Syndrome ◽  
The Mean ◽  
Mean Time

Abstract Background Early diagnosis and treatment of ACS can reduce the risk of complications and death. Delay calling for help can increase morbidity and mortality. It is unclear which age group among patients with acute coronary syndrome tend to delay their call for help. Results Our observational retrospective study showed that men and women in their 50s and 40s respectively tend to delay their call for help from symptoms onset. For the former, the mean time delays (590 ± 71.1 min), whereas for the latter it was (1084 ± 120.1 min). Moreover, these groups tend to have a longer time delay between symptoms onset and arrival at the hospital. Among deaths, we observed that the death rate was proportional to the time delay, which is not unexpected. Next step, we plan to perform a qualitative study in the form of questionnaires to target the individuals with a high risk of CVD within these age groups. Conclusion Middle age group of both genders tend to delay their call for help when they experience symptoms of ACS; moreover, regardless of the age, the longer the delay, the higher the mortality rate. The results of this study gave us a better understanding of our local population and will pave the road for a well-structured teaching programme for them to minimise the time delay for calling for help.

Kernel Recursive Least Square Approach for Power System Harmonic Estimation

2021 ◽  
pp. 1-16
Author(s):  
Omar Avalos ◽  
Erik Cuevas ◽  
Héctor G. Becerra ◽  
Jorge Gálvez ◽  
Salvador Hinojosa ◽  
...  
Keyword(s):  
Power System ◽  
Least Square ◽  
Recursive Least Square ◽  
Least Square Approach
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