Abstract Autonomous Vehicles (AVs) have shown indelible and revolutionary effects on accident reduction more efficient use of travel time, with outstanding socio‐economic impact. Despite these benefits, to make AVs accepted by a wide demographic produce them an industrial scale reasonable price, there are still number technological social challenges that need be tackled. Path Tracking Controller (PTC) is one the high potential subsystems can further improved in order achieve accurate, robust...

The aim of this paper is to design and develop an optimal motion cueing algorithm (MCA) based on the genetic (GA) that can generate high-fidelity motions within simulator's physical limitations. Both, angular velocity linear acceleration are adopted as inputs MCA for producing higher order washout filter. quadratic regulator (LQR) method used constrain human perception error between real simulated driving tasks. To MCA, latest mathematical models vestibular system simulator taken into...

Driving simulators are effective tools for training, virtual prototyping, and safety assessment which can minimize the cost maximize road safety. Despite aim of a realistic motion generation impression real-world driving, bound in limited workspace. Motion cueing algorithms (MCAs) to plan an acceptable feeling drivers, without infringing simulated boundaries. Recently, model predictive control (MPC) has been widely used MCAs; however, tuning process finding best weights MPC optimization is...

Nowadays, classical washout filters are extensively used in commercial motion simulators. Even though there several advantages for filters, such as short processing time, simplicity and ease of adjustment, they have shortcomings. The main disadvantage is the fixed scheme parameters filter cause inflexibility structure thus resulting simulator fails to suit all circumstances. Moreover, it a conservative approach platform cannot be fully exploited. aim this research present fuzzy logic take...

Model Predictive Controller (MPC) is a capable technique for designing Path Tracking (PTC) of Autonomous Vehicles (AVs). The performance MPC can be significantly enhanced by adopting high-fidelity and accurate vehicle model. This model should capturing the full dynamics vehicle, including nonlinearities uncertainties, without imposing high computational cost MPC. A data-driven approach realised learning using operation data offer promising solution providing suitable trade-off between state...

Motion cueing algorithms (MCAs) are playing a significant role in driving simulators, aiming to deliver the most accurate human sensation simulator drivers compared with real vehicle driver, without exceeding physical limitations of simulator. This paper provides optimisation design an MCA for simulator, order find suitable washout algorithm parameters, while respecting all motion platform limitations, and minimising perception error between driver. One main classical filters is that it...

The motion cueing algorithm is the procedure used to regenerate vehicle cues by transforming translational and rotational motions of a simulated into simulator such that high fidelity can be generated through washout filter. Classical filters are widely being in different simulators because their low computational load, simplicity, functionality. However, they have number disadvantages make them unreliable some cases. One main its parameter selecting procedure, which based on trial-and-error...

Motion simulation platforms (MSPs) are widely used to generate driving/flying motion sensations for the users. The MSPs have a restricted workspace area due dynamical and physical restrictions of Platforms active joints as well limitations its passive joints. cueing algorithm (MCA) is reproduction signal including linear accelerations angular velocities. It aims simultaneously respect MSP's make same feeling user real vehicle. Classical washout filter (WF) well-known type MCA. classical WF...

The motion cueing algorithms (MCAs) is the method that reproduces sensation of real vehicle for users simulation-based platforms (SBMPs). Classical MCA most common type due to its simplicity, easy tunning procedure, and higher speed. fixed neutral position SBMP restricts available workspace makes motions platform conservative. Then, high frequency inputs cannot be reproduced precisely using it increases error between driver. main objective this study enlarge reachable adaptively new...

Motion cueing algorithm (MCA) is used to reproduce the realistic driving motion feeling for user of virtual vehicle using linear acceleration and angular velocity signals while respecting physical constrains simulation-based platform. Classical washout filter most common commercial type MCA because easy tuning, short processing time, simplicity. The classical a conservative method in workspace worst-case scenario tuning technique. Also, existing adaptive based on time-varying cut-off...

A motion cueing algorithm (MCA) is employed to transform the linear and angular signals generated from a simulator without violating physical dynamical boundaries of platform. In this respect, accurate prediction scenarios essential enhance efficiency MCA using prepositioning or time-varying reference model predictive control. While recent approach that utilizes feedforward neural network (NN) forecast useful, NN has only forward dynamics relating any feedback loop. article, time-delay NN,...

The Motion Cueing Algorithm (MCA) is the main unit of motion simulators responsible for transforming vehicle motions to generate driving sensation simulator users within simulator's physical workspace through washout filters. In this study, we design and provide a new framework by developing set novel filters using optimized fuzzy control systems solve drawbacks associated with existing optimal MCAs simulators. These include constant filter parameters, inefficient movement in workspace, lack...

In this note, we propose a design for robust finite-horizon Kalman filtering discrete-time systems suffering from uncertainties in the modeling parameters and observations process (missing measurements). The system parameter are expected state, output white noise covariance matrices. We find upper-bound on estimation error minimize proposed upper-bound.

In this paper, an open source C++ Genetic Algorithm library is proposed called openGA. This capable of optimization in each single objective, multi-objective and interactive modes. The main motivation for proposing to provide freedom users designing their custom solution data model without limitations which many currently available software/libraries suffer from such as forcing a user define the solutions vectors or limiting output evaluation functions predefined format. addition, has entire...

A motion simulator is an effective tool for training a driver in safe environment by mimicking similar to the real world. To give realistic feeling of driving and avoid sickness, accurate cueing algorithm required restrict platform within allowed workspace range while regenerating appropriate driver. Recently, employing Model Predictive Control (MPC) has become popular. In this control method, predicting future dynamics, input optimized minimize cost function over prediction horizon...

A motion cueing algorithm plays an important role in generating cues driving simulators. The is used to transform the linear acceleration and angular velocity of a vehicle into translational rotational motions simulator within its physical limitation through washout filters. Indeed, scaling limiting should be along filter decrease amplitude signals uniformly across all frequencies algorithm. This effects workspace limitations reproduction improve realism movement sensation. nonlinear method...

Driving motion simulators are widely used for their reliable, safe and cost-effective abilities to replicate real vehicle driving experience simulator drivers in virtual environment. As all have physical limitations, Motion Cueing Algorithm (MCA) is the most necessary algorithm transformation of vehicle's linear rotational motions platform aiming regenerate realistic sensation. Model Predictive Control (MPC)-based MCA has recently become one popular MCAs. Scaling limiting an important unit...

The motion cueing algorithm (MCA) is playing the most critical role in simulation platform (MSP) to reproduce realistic sensation of real car for MSP's users while taking into cogitation physical boundaries platform. Recently, model predictive control (MPC) employed designing MCAs which led formation MPC-based MCAs. purpose MCA recalculate optimal values input signals with consideration restrictions. All current have fix weights that can cause conservative and inefficient utilization...

Neural Architecture Search (NAS) has significantly improved the accuracy of image classification and segmentation. However, these methods concentrate on finding segmentation structures for natural or medical applications. In this study, we introduce a NAS approach based gradient optimization to identify ideal cell designs road To best our knowledge, work represents first application gradient-based extraction. Taking insight from U-Net model its successful variations in different tasks,...

ABSTRACT Object detection is a critical aspect of computer vision (CV) applications, especially within autonomous driving systems (AVs), where it fundamental to ensuring safety and reducing traffic accidents. Recent advancements in computational resources have enabled the widespread adoption Deep Learning (DL) techniques, significantly enhancing efficiency accuracy object tasks. However, technology for has yet reach level maturity that guarantees consistent performance, reliability, safety,...