Abstract: This paper presents a prediction method for vehicle dynamics based on the anticipation of the state observer entries. The methodology consists in adopting hypotheses about the trajectory, velocity and acceleration in a future instant and in using these assumptions, allied to the previous road geometric information, to calculate the future tire/road lateral and vertical efforts using a state observer/anticipation method. Once knowing dynamical behavior in a future maneuver, indexes are calculated, in order to advertise a control system (the driver or an embedded computer) to the possibility of an accident, using: the percentual mobilized adherence and the load transfer ratio parameters
Approaches to automated driving typically hand over vehicle control to specialized modules for inter...
With the rapid development of the application of driverless vehicle technology, future roads will li...
In this paper, we investigate predictive control approaches to the problem ofroadway departure preve...
In the fields of advanced driver assistance systems (ADAS) and Internet of Vehicles (IoV), predictin...
Reliable and accurate vehicle motion models are of vital importance for automotive active safety sys...
© 2015 IEEE.The ability to predict forthcoming car states is crucial for the development of smart as...
By observing their environment as well as other traffic participants, humans are enabled to drive ro...
A future limitation of autonomous ground vehicle technology is the inability of current algorithmic ...
University Transportation Centers Program2022PDFManuscriptGhorai, PrasenjitEskandarian, AzimKim, You...
New approaches for movment prediction for humans and motion planning for vehicle
By knowing what the driver will do next, it is possible to assist drivers only as much as necessary....
Abstract — We are developing a novel framework, PRIDE (PRediction In Dynamic Environments), to perfo...
2getthere specialises in autonomous people transport through their GRT vehicle, used for transportin...
Cooperative systems are being investigated to increase road safety. Here, vehicles and road infrast...
Driving is a task that requires the timely detection of critical events and relevant changes in traf...
Approaches to automated driving typically hand over vehicle control to specialized modules for inter...
With the rapid development of the application of driverless vehicle technology, future roads will li...
In this paper, we investigate predictive control approaches to the problem ofroadway departure preve...
In the fields of advanced driver assistance systems (ADAS) and Internet of Vehicles (IoV), predictin...
Reliable and accurate vehicle motion models are of vital importance for automotive active safety sys...
© 2015 IEEE.The ability to predict forthcoming car states is crucial for the development of smart as...
By observing their environment as well as other traffic participants, humans are enabled to drive ro...
A future limitation of autonomous ground vehicle technology is the inability of current algorithmic ...
University Transportation Centers Program2022PDFManuscriptGhorai, PrasenjitEskandarian, AzimKim, You...
New approaches for movment prediction for humans and motion planning for vehicle
By knowing what the driver will do next, it is possible to assist drivers only as much as necessary....
Abstract — We are developing a novel framework, PRIDE (PRediction In Dynamic Environments), to perfo...
2getthere specialises in autonomous people transport through their GRT vehicle, used for transportin...
Cooperative systems are being investigated to increase road safety. Here, vehicles and road infrast...
Driving is a task that requires the timely detection of critical events and relevant changes in traf...
Approaches to automated driving typically hand over vehicle control to specialized modules for inter...
With the rapid development of the application of driverless vehicle technology, future roads will li...
In this paper, we investigate predictive control approaches to the problem ofroadway departure preve...