Nowadays, it is very important to study the movement of the vehicle in order to be able to improve the benefits that a vehicle can offer, or to study many traffic situations that can help in the development of the roads. With the technologies that we have today, we can study these movements in many ways. In this project, we will make the automated transformation of the inertial movement data of a smartphone into a vehicle reference system. This will allow us to know the movements of a vehicle in different traffic situations. We will develop algorithm, study and analyze the data received from the IMU sensors of the telephone and we will carry out the transformation of the data in order to obtain the vehicle’s data that we are looking for as ...
Thanks to the development in recent years, the placement of miniaturized sensors such as acceleromet...
In four-wheeled motorsport, setting-up a vehicle suspension for a race is very demanding and the all...
Abstract — Currently there are many research focused on using smartphone as a data collection device...
Nowadays, it is very important to study the movement of the vehicle in order to be able to improve t...
Smartphone sensors can collect data in many different contexts. They make it feasible to obtain larg...
Modern day mobile devices are embedded with various types of sensors such as the accelerometer, magn...
Smartphone sensors can collect data in many different contexts. They make it feasible to obtain larg...
This project talks about driving cycles, how were they built until actuality and which results were ...
This paper utilizes smartphone sensing of vehicle dynamics to determine driver phone use, which can ...
The fields of navigation and motion inference have rapidly been transformed by advances in computing...
Monitoring an individual’s mobility with a modern smartphone can have a profound impact on rehabilit...
Estimating longitudinal vehicle speed is required in a wide range of applications from road safety t...
W ramach pracy przedstawiono metody numeryczne oraz filtry cyfrowe umożliwiające korekcję sygnału po...
Proceeding of: 2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES): Madri...
In this research we develop the next generation methods for inertial navigation, which seek to estim...
Thanks to the development in recent years, the placement of miniaturized sensors such as acceleromet...
In four-wheeled motorsport, setting-up a vehicle suspension for a race is very demanding and the all...
Abstract — Currently there are many research focused on using smartphone as a data collection device...
Nowadays, it is very important to study the movement of the vehicle in order to be able to improve t...
Smartphone sensors can collect data in many different contexts. They make it feasible to obtain larg...
Modern day mobile devices are embedded with various types of sensors such as the accelerometer, magn...
Smartphone sensors can collect data in many different contexts. They make it feasible to obtain larg...
This project talks about driving cycles, how were they built until actuality and which results were ...
This paper utilizes smartphone sensing of vehicle dynamics to determine driver phone use, which can ...
The fields of navigation and motion inference have rapidly been transformed by advances in computing...
Monitoring an individual’s mobility with a modern smartphone can have a profound impact on rehabilit...
Estimating longitudinal vehicle speed is required in a wide range of applications from road safety t...
W ramach pracy przedstawiono metody numeryczne oraz filtry cyfrowe umożliwiające korekcję sygnału po...
Proceeding of: 2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES): Madri...
In this research we develop the next generation methods for inertial navigation, which seek to estim...
Thanks to the development in recent years, the placement of miniaturized sensors such as acceleromet...
In four-wheeled motorsport, setting-up a vehicle suspension for a race is very demanding and the all...
Abstract — Currently there are many research focused on using smartphone as a data collection device...