A survey on vehicular edge computing: architecture, applications, technical issues, and future directions
A new networking paradigm, Vehicular Edge Computing (VEC), has been introduced in
recent years to the vehicular network to augment its computing capacity. The ultimate …
recent years to the vehicular network to augment its computing capacity. The ultimate …
A review of intelligent driving style analysis systems and related artificial intelligence algorithms
GAM Meiring, HC Myburgh - Sensors, 2015 - mdpi.com
In this paper the various driving style analysis solutions are investigated. An in-depth
investigation is performed to identify the relevant machine learning and artificial intelligence …
investigation is performed to identify the relevant machine learning and artificial intelligence …
Driver behavior detection and classification using deep convolutional neural networks
Driver behavior monitoring system as Intelligent Transportation Systems (ITS) have been
widely exploited to reduce the traffic accidents risk. Most previous methods for monitoring …
widely exploited to reduce the traffic accidents risk. Most previous methods for monitoring …
A survey of 5G technology evolution, standards, and infrastructure associated with vehicle-to-everything communications by internet of vehicles
CR Storck, F Duarte-Figueiredo - IEEE access, 2020 - ieeexplore.ieee.org
The very last wireless network technology, created to increase the speed and the
connections responsiveness, the Fifth-Generation Network (5G) can transmit a great volume …
connections responsiveness, the Fifth-Generation Network (5G) can transmit a great volume …
Internet of vehicles: Motivation, layered architecture, network model, challenges, and future aspects
Internet of Things is smartly changing various existing research areas into new themes,
including smart health, smart home, smart industry, and smart transport. Relying on the basis …
including smart health, smart home, smart industry, and smart transport. Relying on the basis …
Driver lane change intention inference for intelligent vehicles: Framework, survey, and challenges
Intelligent vehicles and advanced driver assistance systems (ADAS) need to have proper
awareness of the traffic context, as well as the driver status since ADAS share the vehicle …
awareness of the traffic context, as well as the driver status since ADAS share the vehicle …
Context-aware vehicular cyber-physical systems with cloud support: architecture, challenges, and solutions
The advances in wireless communication techniques, mobile cloud computing, and context-
aware technologies boost a growing interest in the design, development, and deployment of …
aware technologies boost a growing interest in the design, development, and deployment of …
A survey of driving safety with sensing, vehicular communications, and artificial intelligence-based collision avoidance
Accurately discovering hazards and issuing appropriate warnings to drivers in advance or
performing autonomous control is the core of the Collision Avoidance (CA) system used to …
performing autonomous control is the core of the Collision Avoidance (CA) system used to …
Edge intelligence in intelligent transportation systems: A survey
Edge intelligence (EI) is becoming one of the research hotspots among researchers, which
is believed to help empower intelligent transportation systems (ITS). ITS generates a large …
is believed to help empower intelligent transportation systems (ITS). ITS generates a large …
Dynamic driver fatigue detection using hidden Markov model in real driving condition
R Fu, H Wang, W Zhao - Expert Systems with Applications, 2016 - Elsevier
Driver's states in successive time slices are not independent, especially, fatigue is one of a
cognitive state that is developing over time. Meanwhile, driver fatigue is also influenced by …
cognitive state that is developing over time. Meanwhile, driver fatigue is also influenced by …