Know your master: Driver profiling-based anti-theft method
Although many anti-theft technologies are implemented, auto-theft is still increasing. Also,
security vulnerabilities of cars can be used for auto-theft by neutralizing anti-theft system …
security vulnerabilities of cars can be used for auto-theft by neutralizing anti-theft system …
Modelling Intelligent Driving Behaviour Using Machine Learning.
In vehicular systems, driving is considered to be the most complex task, involving many
aspects of external sensory skills as well as cognitive intelligence. External skills include the …
aspects of external sensory skills as well as cognitive intelligence. External skills include the …
Driver identification based on hidden feature extraction by using adaptive nonnegativity-constrained autoencoder
J Chen, ZC Wu, J Zhang - Applied Soft Computing, 2019 - Elsevier
In this paper, we propose a new driver identification method using deep learning. Existing
driver identification methods have the disadvantages that the size of the sliding time window …
driver identification methods have the disadvantages that the size of the sliding time window …
Analysis of mobile user behavior in vehicular social networks
VR Neto, DSV Medeiros… - 2016 7th International …, 2016 - ieeexplore.ieee.org
Participatory social networks can provide great amount of data about users and their
surroundings. When properly crafted, this data can be used as an important source of …
surroundings. When properly crafted, this data can be used as an important source of …
D3. 2 Toolbox of recommended data collection tools and monitoring methods and a conceptual definition of the Safety Tolerance Zone
The STZ is the core concept of the i-DREAMS project. This report aims to explicitly describe
the practical conceptualisation of the STZ to develop the theoretical framework for …
the practical conceptualisation of the STZ to develop the theoretical framework for …
Classification of road curves and corresponding driving profile via smartphone trip data
M Karaduman, H Eren - 2017 International Artificial Intelligence …, 2017 - ieeexplore.ieee.org
Smart cities are the new settlement structures formed by new technologies that change
human life. Among these technologies, intelligent automobiles have an important place, and …
human life. Among these technologies, intelligent automobiles have an important place, and …
[PDF][PDF] Modelling the Safety Tolerance Zone: Recommendations from the i-DREAMS project
The i-DREAMS project aims at defining, developing, testing and validating a" Safety
Tolerance Zone"(STZ) in order to prevent drivers from getting too close to the boundaries of …
Tolerance Zone"(STZ) in order to prevent drivers from getting too close to the boundaries of …
[PDF][PDF] Modelling Intelligent Driving Behaviour Using Machine Learning
SA Qura-Tul-Ain Khan, MA Khan, A Fatima, S Alanazi… - academia.edu
In vehicular systems, driving is considered to be the most complex task, involving many
aspects of external sensory skills as well as cognitive intelligence. External skills include the …
aspects of external sensory skills as well as cognitive intelligence. External skills include the …
[PDF][PDF] Modelling Intelligent Driving Behaviour Using Machine Learning
S Alanazi, NS Elmitwally - researchgate.net
In vehicular systems, driving is considered to be the most complex task, involving many
aspects of external sensory skills as well as cognitive intelligence. External skills include the …
aspects of external sensory skills as well as cognitive intelligence. External skills include the …
[PDF][PDF] i-DREAMS: D3. 2 Toolbox of recommended data collection tools and monitoring methods and a conceptual definition of the Safety Tolerance Zone
Executive summary This deliverable aims to present the practical conceptualisation of the
Safety Tolerance Zone (STZ) in order for the project to transition from a theoretical …
Safety Tolerance Zone (STZ) in order for the project to transition from a theoretical …