scholarly journals CVAE-GAN Emotional AI Music System for Car Driving Safety

2022 ◽  
Vol 32 (3) ◽  
pp. 1939-1953
Author(s):  
Chih-Fang Huang ◽  
Cheng-Yuan Huang
Keyword(s):  
Driving Safety ◽  
Car Driving

scholarly journals Effects of Smoking Cannabis on Visual Function and Driving Performance. A Driving-Simulator Based Study

2020 ◽  
Vol 17 (23) ◽  
pp. 9033
Author(s):  
Sonia Ortiz-Peregrina ◽  
Carolina Ortiz ◽  
José J. Castro-Torres ◽  
José R. Jiménez ◽  
Rosario G. Anera
Keyword(s):  
Visual Function ◽  
Driving Simulator ◽  
Driving Performance ◽  
Driving Under The Influence ◽  
Driving Safety ◽  
Limited Information ◽  
Baseline Session ◽  
Visual Effects ◽  
Awareness Campaigns ◽  
Car Driving

Cannabis is the most widely used illegal drug in the world. Limited information about the effects of cannabis on visual function is available, and more detail about the possible impact of visual effects on car driving is required. This study investigated the effects of smoking cannabis on vision and driving performance, and whether these effects are correlated. Twenty drivers and occasional users were included (mean (SE) age, 23.3 (1.0) years; five women). Vision and simulated driving performance were evaluated in a baseline session and after smoking cannabis. Under the influence of cannabis, certain visual functions such as visual acuity (p < 0.001), contrast sensitivity (p = 0.004) and stereoacuity (far, p < 0.001; near, p = 0.013) worsened. In addition, there was an overall deterioration of driving performance, with the task of keeping the vehicle in the lane proving more difficult (p < 0.05). A correlation analysis showed significant associations between driving performance and visual function. Thus, the strongest correlations were found between the distance driven onto the shoulder and stereoacuity, for near (ρ = 0.504; p = 0.001) and far distances (ρ = 0.408; p = 0.011). This study provides the first evidence to show that the visual effects of cannabis could impact driving performance, compromising driving safety. The results indicate that information and awareness campaigns are essential for reducing the incidence of driving under the influence of cannabis.

Waste Time or Lose Life: Assessing the Risk of Phoning While Driving

2015 ◽  
pp. 1376-1397
Author(s):  
Christian Collet
Keyword(s):  
Mobile Phone ◽  
Dual Task ◽  
Navigation System ◽  
Driving Safety ◽  
Objective Measures ◽  
Safety Education ◽  
Impaired Driving ◽  
Mobile Phone Use ◽  
Task Conditions ◽  
Car Driving

Several actions and/or operations might interfere with those required during car-driving and thus elicit dual task conditions. Those related to driving itself involve manipulating commands or instruments and should be automated during the learning to drive period to ensure safety. Others, independent of driving may be delayed (eating, smoking a cigarette). Finally, others like manipulating a navigation system or holding a cellphone have potential interference more or less related to driving. The authors now step back about 25 years to analyze the interference between driving and phoning and assess the risk associated with it. Epidemiology provides an overview of mobile phone use and hypotheses about accident causes. If hand-held phones obviously interfere with driving actions, the authors should explain why hands-free kits do not solve all safety concerns. Then, analyzing the operations affected by phoning and describing the objective measures revealing impaired driving performance will address this issue. The authors finally highlight the conditions for relatively safe phone use as well as those that should be banned. Deciding to phone or not will thus depend on driving safety education, during which skills of caution should have been learned.

Simulation Study on Anti-Reflective Effects for Different Submicron-Structures

2011 ◽  
Vol 314-316 ◽  
pp. 123-126
Author(s):  
Hung Yin Tsai ◽  
Mei Ting Lu ◽  
Shao Wei Luo
Keyword(s):  
Flat Surface ◽  
Heat Insulation ◽  
Driving Safety ◽  
Infrared Range ◽  
Aspect Ratios ◽  
Pyramid Structure ◽  
Submicron Structures ◽  
Pyramid Structures ◽  
Car Driving ◽  
Difference Time

Simulation on transmittance for different submicron-structures by finite difference time domain method is studied. The objectives of this study are to discuss transmittance for different submicron-structures. Different structures have different effects of transmittance and reflectance; therefore different sizes, shapes, periods and aspect ratios of submicron-structures are discussed in the current study. High transmittance at the visible waveband and heat insulation at the infrared range are expected for application of car window. The simulation results for flat surface and pyramid structures show that the transmittance increases from 95.7 % to 99.8 % at the wavelength of 760 nm and slightly from 96.0 % to 96.3 % at the infrared range. Though the effect of heat insulation slightly decreases while the infrared passes through the submicron-structures, the high visibility helps for car driving safety. The pyramid structure shows the optimal condition for the application of car window at the aspect ratio of 1 to 2 than other shapes.

Driving Competences and Neuropsychological Factors Associated to Driving Counseling in Multiple Sclerosis

2014 ◽  
Vol 20 (5) ◽  
pp. 555-565 ◽  
Author(s):  
Dolors Badenes ◽  
Maite Garolera ◽  
Laura Casas ◽  
Juan Carlos Cejudo-Bolivar ◽  
Jorge de Francisco ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Neuropsychological Tests ◽  
Cognitive Impairments ◽  
Motor Dysfunction ◽  
Driving Safety ◽  
Cognitive Deterioration ◽  
Visuomotor Coordination ◽  
Motor Disability ◽  
Useful Field Of View ◽  
Car Driving

AbstractMultiple Sclerosis (MS) significantly impacts daily living activities, including car driving. To investigate driving difficulties experienced with MS, we compared 50 MS patients with minor or moderate disability and 50 healthy controls (HC) using computerized driving tests (the ASDE driver test and the Useful Field of View (UFOV) test) and neuropsychological tests. Inclusion criteria included being active drivers. We evaluated whether cognitive deterioration in MS is associated with the results of driving tests by comparing MS patients without cognitive deterioration with HC. The results indicated that the MS patients performed worse than the HCs in attention, information processing, working memory and visuomotor coordination tasks. Furthermore, MS patients with cognitive impairments experienced more difficulties in the driving tests than did the non-impaired MS patients. Motor dysfunction associated with MS also played an important role in this activity. The results of this study suggest that MS should be assessed carefully and that special emphasis should be placed on visuomotor coordination and executive functions because patients with minor motor disability and subtle cognitive impairments can pass measures predictive of driving safety. (JINS, 2014, 20, 555–565)

Got the Results, Now What Do You Do?

2012 ◽  
Vol 2 (1) ◽  
pp. 25-33 ◽  
Author(s):  
Michaela Heese
Keyword(s):  
Safety Culture ◽  
Success Factors ◽  
Service Providers ◽  
Transformation Process ◽  
Driving Safety ◽  
Critical Success ◽  
Culture Transformation ◽  
Survey Results ◽  
Air Navigation Services ◽  
Navigation Service

Members of the Civil Air Navigation Services Organisation have committed themselves to measure and improve safety culture within their organizations by 2013 ( CANSO, 2010 ). This paper attempts to offer support to air navigation service providers that have already implemented a standardized safety culture survey approach, in the process of transforming their safety culture based on existing survey results. First, an overview of the state of the art with respect to safety culture is presented. Then the application of the CANSO safety culture model from theory into practice is demonstrated based on four selected case studies. Finally, a summary of practical examples for driving safety culture change is provided, and critical success factors supporting the safety culture transformation process are discussed.

Lampu Sein Helm Sepeda Berbasis Voice Recognition

2019 ◽  
Vol 11 (01) ◽  
pp. 20-25
Author(s):  
Indra Saputra ◽  
Parulian Silalahi ◽  
Bayu Cahyawan ◽  
Imam Akbar
Keyword(s):  
Voice Recognition ◽  
Driving Safety ◽  
Bicycle Helmet ◽  
Turn Signal ◽  
Voice Command ◽  
The Voice ◽  
Indicator Signal

Bicycles are not equipped with the turn signal. For driving safety, a bicycle helmet with a turn signal is designed with voice rrecognition. It is using the Arduino Nano as a controller to control the ON and OFF of turn signal lights with voice commands. This device uses a Voice Recognition sensor and microphone that placed on a bicycle helmet. When the voice command is mentioned in the microphone, the Voice Recognition sensor will detect the command specified, the sensor will automatically read and send a signal to Arduino, then the turn signal will light up as instructed, the Arduino on the helmet will send an indicator signal via the Bluetooth Module. The device is able to detect sound with a percentage of 80%. The tool can work with a distance of <2 meters with noise <71 db.

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