scholarly journals Development of a micromirror based laster vector scanning automotive HUD

2021 ◽  
Author(s):  
Fan Chao
Keyword(s):  
Lower Cost ◽  
Liquid Crystal Display ◽  
Driving Safety ◽  
Virtual Image ◽  
The Road ◽  
Angle Of View ◽  
On The Road ◽  
Fuel Level ◽  
Vector Scanning ◽  
Vacuum Fluorescent Display

Head-Up-Display (HUD) for automobiles is a system that displays the driving information such as the speed, fuel level, turning signal, GPS, etc on the windshield or on the road through a virtual image. With HUD, the driver does not need to lower his head to check the front panel for driving information and thus the driver can have a longer eyes-on-road time to improve the driving safety and comfort. LCD (Liquid Crystal Display) and VFD (Vacuum Fluorescent Display) based HUDs dominate today's automotive HUD market. In this thesis, a novel micromirror laser vector scanning HUD is developed for automobiles, which has the advantages over existing technologies including: 1) Higher brightness and contrast; 2) Wider angle of view; 3) Smaller size; and 4) Lower cost.

scholarly journals Development of a micromirror based laster vector scanning automotive HUD

2021 ◽  
Author(s):  
Fan Chao
Keyword(s):  
Lower Cost ◽  
Liquid Crystal Display ◽  
Driving Safety ◽  
Virtual Image ◽  
The Road ◽  
Angle Of View ◽  
On The Road ◽  
Fuel Level ◽  
Vector Scanning ◽  
Vacuum Fluorescent Display

Head-Up-Display (HUD) for automobiles is a system that displays the driving information such as the speed, fuel level, turning signal, GPS, etc on the windshield or on the road through a virtual image. With HUD, the driver does not need to lower his head to check the front panel for driving information and thus the driver can have a longer eyes-on-road time to improve the driving safety and comfort. LCD (Liquid Crystal Display) and VFD (Vacuum Fluorescent Display) based HUDs dominate today's automotive HUD market. In this thesis, a novel micromirror laser vector scanning HUD is developed for automobiles, which has the advantages over existing technologies including: 1) Higher brightness and contrast; 2) Wider angle of view; 3) Smaller size; and 4) Lower cost.

scholarly journals An Augmented Reality Head-Up Display System with a Wide-View Eyebox

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Pei-Jung Wu ◽  
Chih-Hao Chuang ◽  
Chien-Yu Chen ◽  
Jeng-Han Wu ◽  
Bor-Shyh Lin
Keyword(s):  
Large Angle ◽  
Optical Element ◽  
Splitting Function ◽  
Virtual Image ◽  
Projection System ◽  
Image Projection ◽  
Holographic Optical Element ◽  
Angle Of View ◽  
On The Road ◽  
Left Image

This study proposes to apply the combination of two 90-degree prisms and a holographic optical element to an image-dividing element, divide an image into three through the virtual image projection system, and accurately project the images to 160 cm behind the windshield. In order to distinguish the left image, middle image, and right image at the horizontal direction, the 90-degree prism is first utilized for horizontally deflecting the light, a holographic optical element is then used for presenting the vertical deflection of the image, and finally, the images are horizontally arranged as a real image on the diffuser. An image-dividing element is eventually integrated to the virtual image projection system. Then, the divided images are made as a virtual image which is projected to 160 cm behind the windshield to combine with the street scene. The horizontal angle of view of an eyebox is increased from 2.51° to 7.22°, and the size of the eyebox is 31.68 cm × 12.48 cm, allowing a wide-view laser-based head-up display with the large-angle beam-splitting function being successfully designed. It would not affect the field of view on the road, and this system could reduce the space and be arranged easily in a vehicle. Therefore, this proposed system is suitable for the aftermarket.

scholarly journals Behavior signal processing for vehicle applications

2013 ◽  
Vol 2 ◽  
Author(s):  
Chiyomi Miyajima ◽  
Pongtep Angkititrakul ◽  
Kazuya Takeda
Keyword(s):  
Signal Processing ◽  
Research Field ◽  
Driving Safety ◽  
Human Machine Interaction ◽  
Lane Changing ◽  
The Road ◽  
Wide Range ◽  
Active Research ◽  
On The Road ◽  
Driver Identification

Within the past decade, analyzing and modeling human behavior by processing large amounts of collected data has become an active research field in the area of human–machine interaction. The research community is striving to find principled ways to explain and represent important behavioral characteristics of humans, with the goal of developing more efficient and more effective cooperative interactions between humans, machines, and environment. This paper provides a summary of the progress we have achieved to date in our study, which has focused specifically on interactions between driver, vehicle, and driving environment. First, we describe the method of data collection used to develop our on-the-road driving data corpus. We then provide an overview of the data-driven, signal processing approaches we used to analyze and model driver behavior for a wide range of practical vehicle applications. Next, we perform experimental validation by observing the actual driving behavior of groups of real drivers. In particular, the vehicle applications of our research include driver identification, behavior prediction related to car following and lane changing, detection of emotional frustration, and improving driving safety through driver coaching. We hope this paper will provide some insight to researchers with an interest in this field, and help identify areas and applications where further research is needed.

scholarly journals Hypnotics and Driving Safety: Meta-Analyses of Randomized Controlled Trials Applying the on-the-Road Driving Test

2006 ◽  
Vol 1 (1) ◽  
pp. 63-71 ◽  
Author(s):  
Joris Verster ◽  
Dieuwke Veldhuijzen ◽  
Alain Patat ◽  
Berend Olivier ◽  
Edmund Volkerts
Keyword(s):  
Randomized Controlled Trials ◽  
Driving Safety ◽  
Controlled Trials ◽  
The Road ◽  
Randomized Controlled ◽  
On The Road ◽  
Meta Analyses

scholarly journals Upaya Meningkatkan Kesadaran Penggunaan Helm Sejak Dini

2019 ◽  
Author(s):  
Hamidah Noor Fajriyah
Keyword(s):  
Qualitative Research ◽  
Research Method ◽  
Driving Safety ◽  
Qualitative Research Method ◽  
Helmet Use ◽  
The Road ◽  
Raising Awareness ◽  
On The Road

Today, there are many people who do not wear helmets when driving a motorized vehicle because of lack of awareness of driving safety. As a result of not wearing a helmet that is the number of accidents on the road. Therefore, the Sidoarjo District Police distributed free helmets to children with the aim of raising awareness of wearing helmets early on. The writing of this article aims to show efforts in raising awareness to wear helmets early on. The research method used is a qualitative research method with observations of programs that have been carried out. The results of this study indicate that efforts to provide free helmets to children are an effective way to raise awareness of the importance of helmet use and through this program can show that there are still many people who are in an orderly manner.

scholarly journals Are Your Eyes “on the Road”? Findings from the 2019 National Study on Vision and Driving Safety in Spain

2020 ◽  
Vol 17 (9) ◽  
pp. 3195 ◽  
Author(s):  
Ignacio Lijarcio ◽  
Sergio A. Useche ◽  
Javier Llamazares ◽  
Luis Montoro
Keyword(s):  
Visual Field ◽  
Road Safety ◽  
Cross Sectional Study ◽  
Driving Safety ◽  
National Study ◽  
Cross Sectional ◽  
The Road ◽  
Road Users ◽  
On The Road ◽  
Visual Health

Background: Vision is an undisputable contributor to the explanation of many human-factor related traffic crashes happening every day. The Inland Transport Committee (ITC), the United Nations regulatory platform, included on 1st April 2020 special action on the vision of road users inside the ITC Recommendations for Enhancing Road Safety Systems. The results of this wide-scale study on drivers’ vision health conducted in Spain perfectly illustrates the need of global action and its potential impact on the public health figures and the burden of potentially preventable traffic causalities. Objective: The aim of this study was to assess three key visual health issues (i.e., visual acuity, visual field campimetry and glare recovery) among Spanish drivers, in order to formulate implications and possible guidelines to enhance road safety. Methods: This cross-sectional study examined the visual health of a representative sample of 3249 drivers (70% females and 30% males) with a mean age of 41 (SD = 13) years, gathered from all the 17 autonomous communities of Spain. Results: The tests performed allowed to determine that 15% of Spanish drivers have a poor photopic vision, while 38% of them present an inadequate mesopic vision. Further, 23% of drivers have deficiencies in peripheric visual field campimetry, and the average time for full-vision recovery after a 10-s glare was 27 s. Sex, age and driver type (professional vs. non-professional) differences were found for the study variables. Conclusions: The findings of this study support the idea that certain demographic-based population groups of drivers present several unaddressed deficiencies and impairments in visual health. Overall an estimated 29.5% of Spanish drivers present visual issues, that need to be attended in order to enhance the prevention of driving crashes and the road safety of all road users.

Use of Video Intervention to Increase Elders’ Awareness of Low-Cost Vehicle Modifications that Enhance Driving Safety and Comfort

2005 ◽  
Vol 1922 (1) ◽  
pp. 15-20 ◽  
Author(s):  
Nina M. Silverstein ◽  
Alison S. Gottlieb ◽  
Elizabeth Van Ranst
Keyword(s):  
Low Cost ◽  
Older Drivers ◽  
Driving Safety ◽  
The Internet ◽  
Sufficient Time ◽  
Driving Cessation ◽  
The Road ◽  
Video Intervention ◽  
On The Road

Use of vehicle modifications might enable older drivers to stay on the road safely and provide a more gradual pathway between driving and driving cessation. Although adaptive features for automobiles have long been known by the disabilities community, they have not been well known by professionals in the network of aging programs and services or by elders themselves. This study examined the use of a video intervention to increase elders’ awareness of low-tech vehicle features. It was hypothesized that participants would have an increased awareness after viewing a video and would take steps toward using the features. The 23–min video was shown to 157 drivers age 70+ at seven Councils on Aging and senior centers in Massachusetts. The median age was 79, and 11% were age 85 and older. The participants completed pre- and postvideo questionnaires, and 127 of the participants (81%) were surveyed by phone approximately 2 months later. Familiarity significantly increased for 10 of 13 demonstrated features. On average, participants had taken two of five follow-up steps: 85% had read handouts, 63% had discussed features with family or friends, 20% had looked for features in stores or on the Internet, 9% had tried features, and only 2% had contacted a professional. Eleven percent of the telephone interviewees had purchased features. The video served the intended purpose of increasing awareness of vehicle modifications. Although some change was noted, 2 months may not have been sufficient time to observe change for the majority of the participants. Moreover, it is not known to what extent the participants may draw on this knowledge in the future, if and when they perceive a more direct need.

Velocity Optimization of Pure Electric Vehicles with Traffic Dynamics and Driving Safety Considerations

2021 ◽  
Vol 2 (1) ◽  
pp. 1-24
Author(s):  
Liuwang Kang ◽  
Ankur Sarker ◽  
Haiying Shen
Keyword(s):  
Energy Consumption ◽  
Electric Vehicles ◽  
Optimization Methods ◽  
Driving Safety ◽  
Traffic Light ◽  
Optimal Velocity ◽  
Traffic Lights ◽  
Optimization System ◽  
The Road ◽  
On The Road

As Electric Vehicles (EVs) become increasingly popular, their battery-related problems (e.g., short driving range and heavy battery weight) must be resolved as soon as possible. Velocity optimization of EVs to minimize energy consumption in driving is an effective alternative to handle these problems. However, previous velocity optimization methods assume that vehicles will pass through traffic lights immediately at green traffic signals. Actually, a vehicle may still experience a delay to pass a green traffic light due to a vehicle waiting queue in front of the traffic light. Also, as velocity optimization is for individual vehicles, previous methods cannot avoid rear-end collisions. That is, a vehicle following its optimal velocity profile may experience rear-end collisions with its frontal vehicle on the road. In this article, for the first time, we propose a velocity optimization system that enables EVs to immediately pass green traffic lights without delay and to avoid rear-end collisions to ensure driving safety when EVs follow optimal velocity profiles on the road. We collected real driving data on road sections of US-25 highway (with two driving lanes in each direction and relatively low traffic volume) to conduct extensive trace-driven simulation studies. Results show that our velocity optimization system reduces energy consumption by up to 17.5% compared with real driving patterns without increasing trip time. Also, it helps EVs to avoid possible collisions compared with existing collision avoidance methods.

scholarly journals Survey-Based Accident Analysis for Human-Powered Three-Wheeled Vehicles

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Toni Wilhelm ◽  
◽  
Volker Dorsch ◽  
Frank Gauterin ◽  
Keyword(s):  
Multiple Correspondence Analysis ◽  
Driving Safety ◽  
The Road ◽  
Road Users ◽  
Manual Analysis ◽  
Bicycle Infrastructure ◽  
On The Road ◽  
Human Powered ◽  
Wheeled Vehicles ◽  
Near Accidents

The causes of accidents involving nonconventional bicycle types have hardly been investigated in the literature to date. However, these vehicles could play an important role in reducing the CO2 emissions generated by traffic. As a basis for improving the driving safety of these environmentally friendly vehicles, this article presents the results of a survey on accidents and near-accidents of multitrack bicycle vehicles. More than 120 critical or accident situations of 86 drivers were analyzed. The situations are investigated with respect to the circumstances, the causes, and the consequences of the accidents using manual analysis and multiple correspondence analysis. A distinction is made between single accidents and accidents with another party. The aim of the survey is not to make statistically accurate statements on the frequency and probability of accidents, but rather to analyze the accident or near-accident circumstances. It is shown that the causes of single accidents are usually too high cornering velocities in combination with other factors such as road conditions. In the case of accidents with external involvement, the person who caused the accident is usually the other party involved. The accident opponent is in most cases a passenger car. Here the overlooking of the vehicles is the most frequent cause of accidents. Finally, possibilities to reduce the probability of accidents are briefly discussed for the different situations. As the research shows, most of the situations described occur on the road. This indicates that there are deficits in the bicycle infrastructure for the vehicles considered here. The results also indicate that there are deficits with regard to the perceptibility of the vehicles by other road users.

scholarly journals Evaluation of Long-term Skid Resistance of Asphalt Mixture with Multi-content Basic Oxygen Furnace (BOF) Steel Slag Using the Circular Vehicle Simulator (CVS)

2021 ◽  
Vol 248 ◽  
pp. 01044
Author(s):  
Liqun Hu ◽  
Shouke Wang ◽  
Qiang Zhang
Keyword(s):  
Steel Slag ◽  
Asphalt Mixture ◽  
Basic Oxygen Furnace ◽  
Vital Role ◽  
Driving Safety ◽  
Basic Oxygen ◽  
The Road ◽  
Vehicle Simulator ◽  
On The Road

Long-term anti-skid performance plays a vital role on the road life cycle and driving safety. Therefore, the CVS was proposed, which can perform full-size polishing on the rutting slabs. The CVS system was used to simulate the long-term anti-skid attenuation law of five kinds of asphalt mixture with different BOF steel slag contents, and the influence of different BOF steel slag contents on the road anti-skid performance was comprehensively analyzed by using pendulum friction value. With the increase of BOF steel slag volume, the long-term anti-skid performance of asphalt mixture increases first and then decreases. Especially, the asphalt mixture with 50% BOF steel slag content has the best long-term anti-skid performance.

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