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Research on Open-pit Mine Virtual Environment Construction and Working Vehicle Modeling Simulation Based on PreScan
Unmanned driving is the core and difficulty in realizing the intelligent and unmanned mining. For the urban block environment, there are already many...
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Dust, Light Scratch, and Stain Removal
Many of the images you’ll work with will require digital cleanup and repair. GIMP is the perfect tool for removing dust from scanned slides (i.e.,...
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Distributed MPC of vehicle platoons with guaranteed consensus and string stability
Control of vehicle platoon can effectively reduce the traffic accidents caused by fatigue driving and misoperation, reduce air resistance by...
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Automated Driving Simulation Platform Design on Collision Avoidance Decision Making for Vulnerable Road Users
The current research on vehicle driving simulation lacks the participation of real traffic participants, such as pedestrians and cyclists. In this...
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Study of AEB and active seat belt on driver injury in vehicle–vehicle frontal oblique crash
The safety of vehicle occupants in oblique collision scenarios continues to pose challenges, even with the implementation of Automatic Emergency...
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Simulation and application of cooperative driving sense systems using prescan software
The PreScan was used to construct and test environmental simulation sections for a vehicle sensor. It was employed to build simulation road sections...
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Recognition of Driver Type in Complex Driving Environment
AbstractAn essential role in effectively reducing the occurrence of traffic accidents and protecting lives and properties of people is played by the...
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Time-Domain Predictable Trajectory Planning for Autonomous Driving Based on Internet of Vehicles
For the polynomial lane change method, the lane change trajectory is planned only at the initial time, and it cannot cope with the problem that other...
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AEB Simulation Method Based on Vehicle Test Data for Accident Analysis of ADAS Vehicles
The use of vehicles equipped with autonomous emergency braking (AEB), among the most widely employed functions of the advanced driver assistance...
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Research on Hardware-in-the-Loop Test System for the Main Control Unit of Unmanned Vehicles
At present, there are more researches on the automatic driving technology of unmanned vehicles. It needs a main control unit, which enables the...
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Towards a Digital Twin Architecture with Formal Analysis Capabilities for Learning-Enabled Autonomous Systems
Digital twins are increasingly used to test and verify complex cyber-physical systems. The main reason is their flexibility in combining multiple...
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Application of Unsuppressed Water Peaks for MRS Thermometry
This study explores the feasibility of unsuppressed water (WU) peaks acquired as a part of prescanning in conjunction with metabolites from...
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Edge Computing Based Two-Stage Emergency Braking in Autonomous Driving
Emergency braking is a key technology in autonomous driving to prevent collision accidents. In this paper, we propose an edge computing based...
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Pilot tone-based prospective correction of respiratory motion for free-breathing myocardial T1 map**
ObjectiveTo provide respiratory motion correction for free-breathing myocardial T1 map** using a pilot tone (PT) and a continuous golden-angle...
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Event-triggered shared lateral control for safe-maneuver of intelligent vehicles
With the increasing number of cars, road traffic accidents have caused a lot of losses every year and human factors play an important role in many...
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An Improved GA-Based Method for Generating Critical Collision Scenarios of AEB on Longitudinal Slope
To accelerate the testing of the function boundary of AEB control strategy on a longitudinal slope, this paper proposed an improved GA-based method...
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The parieto-occipital cortex is a candidate neural substrate for the human ability to approximate Bayesian inference
Adaptive decision-making often requires one to infer unobservable states based on incomplete information. Bayesian logic prescribes that individuals...
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Continuous Engineering for Trustworthy Learning-Enabled Autonomous Systems
Learning-enabled autonomous systems (LEAS) use machine learning (ML) components for essential functions of autonomous operation, such as perception...
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Method of Predicting Braking Intention Using LSTM-CNN-Attention With Hyperparameters Optimized by Genetic Algorithm
Prediction of a driver’s braking intention enables the advanced driver assistance system (ADAS) to intervene in the braking system as early as...
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Rate and Load Effects on Scratch Behavior of Thermoplastics by Berkovich Indenter
Microscratch responses of four different thermoplastics including polytetrafluoroethylene, polyethylene, polyvinyl chloride, and polyetheretherketone...
