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Driver Distraction Detection with a Camera Vision System

2007 IEEE International Conference on Image Processing, 2007
Driver assistance systems and electronics (e.g. navigators, cell phones, etc.) steal increasing amounts of driver attention. Therefore, the vehicle industry is striving to build a driving environment where input–output devices are smartly scheduled, allowing sufficient time for the driver to focus attention on the surrounding traffic. To enable a smart
Jokela, Maria   +4 more
openaire   +1 more source

Driver cognitive distraction detection: Feature estimation and implementation

Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 2007
This article focuses on monitoring a driver's cognitive impairment due to talking to passengers or on a mobile phone, daydreaming, or just thinking about other than driving-related matters. This paper describes an investigation of cognitive distraction, firstly, giving an overall idea of its effects on the driver and, secondly, discussing the practical
Jokela, Maria   +6 more
openaire   +2 more sources

Driver distraction detection using capsule network

Neural Computing and Applications, 2020
With the onset of the new technological age, the distractions caused due to handheld devices have been a major cause of traffic accidents as they affect the decision-making capabilities of the driver and give them less time to react to difficult situations.
Deepak Kumar Jain 0001   +4 more
openaire   +1 more source

Driver Distraction and Drowsiness Detection System

2021 International Conference on Intelligent Technologies (CONIT), 2021
The major cause of deaths in our world is a car accident. Nearly around 1.5 billion people die due to car accidents and majority are happening just due to a simple factor that is drowsiness of driver. Most of the people travel for long distances without any sleep and using mobile phones while driving this results to the issue of tiredness and as a ...
G. Roshini   +4 more
openaire   +1 more source

Driver distraction detection by in-vehicle signal processing

2014 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems (CIVTS), 2014
Driver distraction is one of the major causes of vehicle accidents. Many people have researched methods for reducing distraction of drivers and helping them to drive safely. Many studies have concerned products that monitor the state of drivers directly or indirectly and warn them of risk.
Seongsu Im   +4 more
openaire   +1 more source

Driver's distraction detection based on gaze estimation

2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2016
Drivers easily get distracted by the activities happening around them such as texting, talking on mobile phone or talking to the neighbouring person. All these activities take driver's attention away from the road which may lead to accidents, cause harm to the driver, pedestrians and also other vehicles on the road.
Shweta Maralappanavar   +2 more
openaire   +1 more source

Detecting Driver's Distracted Behaviour from Wi-Fi

2018 IEEE 87th Vehicular Technology Conference (VTC Spring), 2018
The hypothesis of our research is that our body movements, posture and style of driving gives information about our behavioural state. When the driver is distracted by internal or external factors, his driving style changes. We detect these changes by utilising the non- intrusive, cheap and commercially off the shelf Wi-Fi sensors.
Ghaderi, Viviane   +3 more
openaire   +1 more source

Driver distraction detection for vehicular monitoring

IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society, 2010
This paper describes a driver distraction detection scenario which is important to enhance driving safety. We employ data obtained by a GPS to reproduce the driver behavior. Gaussian Mixture model (GMM) is used to capture the sequence of driving characteristics according to the reconstructed vehicle's information and it is also used as a classifier to ...
Jing Yang, Timothy N. Chang, Edwin Hou
openaire   +1 more source

A Review on Driver Distraction Detection Methods

2020 International Conference on Communication and Signal Processing (ICCSP), 2020
One of the most relevant reason for death is road crashes. Road crashes may occur for many reasons. One of the causes is distracted driving. Distracted driving is the deviation of the driver’s consciousness from driving tasks due to some secondary tasks like eating talking etc. It may cause death, injuries and economic losses.
U.K Vismaya, E Saritha
openaire   +1 more source

Detecting driver distraction

2018
The increasing use of in-vehicle information systems (IVISs), such as navigation devices and MP3 players, can jeopardize safety by introducing distraction into driving. One way to address this problem is to develop distraction mitigation systems, which adapt IVIS functions according to driver state.
openaire   +1 more source

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