Academic literature on the topic 'Headlights testing'

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Journal articles on the topic "Headlights testing"

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Smith, Hana S., Valerie K. Sims, Matthew G. Chin, Linda Upham Ellis, David J. Sushi, Matthew Velie, Randall Shumaker, and Neal Finkelstein. "Evidence for the Use of Minimal Anthropomorphic Features in Attributions for Automobiles." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 51, no. 18 (October 2007): 1101–4. http://dx.doi.org/10.1177/154193120705101810.

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The present study examined the role of minimal features in humans' attributions for automobiles. This work extends research on minimal features in drawn stimuli by testing whether the findings extend to real automobiles. Participants viewed sixteen front ends of cars that varied in terms of the shape of the headlights and the shape of the grill. Each was rated in terms of attractiveness and six affective states used to describe human faces. As in studies with both drawn stimuli and human faces, headlight (eye) shape was highly associated with attractiveness, whereas grill (mouth) shape was more predictive of negative ratings. Minimal features lead to anthropomorphic attributions for automobiles.
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Thompson, James, Matthew Baldock, and Christopher Stokes. "An Evaluation of Retro-Reflective Screens to Aid Conspicuity of Freight Trains at Passive-Control Level Crossings." Journal of Road Safety 32, no. 2 (May 1, 2021): 22–29. http://dx.doi.org/10.33492/jrs-d-21-00007.

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Freight trains already passing through level crossings in rural areas at night can be difficult for approaching motorists to see. Crashes can occur if the crossing has ‘passive’ controls (Give way/Stop signs) and motorists fail to stop. Retroreflective screens on the far side of the crossing to motorists that reflect headlights and produce a ‘strobing’ effect between carriages could increase train conspicuity. A prototype screen was applied to a crossing in South Australia. Four videos of freight trains at night from the perspective of an approaching vehicle (conditions: high versus low beam headlights, screen versus no screen) were recorded and used in a reaction time experiment with N=29 drivers. Mean reaction times to the four videos were examined using multivariate analysis of variance. Results were mixed. With high beam headlights, the screen led to shorter reaction times, which suggests it increased train visibility. With low beam headlights, it led to longer reaction times, which suggests it reduced train visibility or that it confused drivers. The detrimental effect of the screen with low beam headlights could be, at least partly, due to methodological limitations relating to differences between trains in the videos, the instructions given to participants, and the degree to which the experiment replicated real-world driver behaviour. However, the screen may genuinely have confused or distracted participants and may do so in realworld conditions. Further experimental testing would be required to determine whether the results in low beam conditions persist when potential methodological limitations are addressed.
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Ibrahim, Mastura, Siti Aishah Wahid, and Sullyfaizura Mohd Rawi. "Development of alternative rear flickering light system." International Journal of Technology, Innovation and Humanities 1, no. 1 (October 21, 2020): 21–25. http://dx.doi.org/10.29210/88901.

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The lighting system of a car consist of lighting and signaling devices mounted to the front, rear and sides. The car has equipped with blinking turn signals to letting information for the other drivers. Sometimes the drivers didn’t noticed that the rear flickering light is not blinking. This condition is a major cause of accidents. The study aim to develop the Alternative Rear Flickering Light System. It is designed to turn the brake lights in flashing mode to replace the broken rear flickering signal. At the same time, a blue light indicator is placed on the dashboard to alert the driver. The system uses the Arduino programming to create hardware or programs for vehicles’ flickering light. The programming of Arduino has been tested for brake lamp (red color), blinking testing (right and left signal) and alternative flickering (brake lamp blinking). The result has been successful for several attempts the coding on Arduino. This system solves of the main problems encountered for every driver when the rear flickering light is not working. This can also turn the other drivers to be aware of the warning given on the headlights.
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Chen, Pei Jiang. "Headlight Detection and Error Correction of Measurement Data." Applied Mechanics and Materials 740 (March 2015): 535–38. http://dx.doi.org/10.4028/www.scientific.net/amm.740.535.

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Headlight detection was an important item of vehicle safety testing which main detection contents included light intensity and beam irradiation direction. It was to ensure the safe operation of vehicle at night or in adverse visual conditions. The basic concepts and testing standards of headlight were introduced, and the reasons of high failure rate for headlight detection were discussed. The main error correction methods of vehicle parking position in headlight detection were compared, and their advantages and disadvantages were analyzed. An error correction system of headlight testing measurement data was designed based on machine vision, and the process of system realization was given. It could provide a method to get more accurate measurement results of automobile headlight detecting.
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Pai, Kai-Jun, Chang-Hua Lin, and Po-Hsun Chen. "Employing a Laser Headlight Electrical System to Measure and Calculate Electro-Optic Conversion Efficiencies of Blue-Beam Laser Diodes." Electronics 9, no. 11 (November 12, 2020): 1902. http://dx.doi.org/10.3390/electronics9111902.

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In this study, a laser headlight electrical system was developed and implemented to measure and compare the electro-optic characteristics of the blue-beam laser diodes (BBLDs). To observe different temperatures (from negative to positive temperatures) that cause optical output power (OOP) and electrical power variations of the BBLDs, BBLDs were placed in an ambient temperature testing chamber, and the electro-optic characteristics of the BBLDs were measured to estimate the electro-optic conversion efficiencies. The different OOPs and electro-optic conversion efficiencies at different temperatures can be obtained when OOP adjustment was performed by average current and low-frequency pulse-duty cycle modulation technologies. Moreover, this study developed a human–machine interface using the LabVIEW software; therefore, the laser headlight electrical system can be controlled and monitored by a computer with the controller area network (CAN) bus communication. Finally, the prototype of the laser headlight electrical system was achieved, and three BBLDs were driven; furthermore, the white light of the headlight can be produced by mixing blue laser beams with a yellow fluorescence ceramic wafer.
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Dong, Ping, Ka Wai Eric Cheng, Dao Hong Wang, and Bangalore Prabhakar Divakar. "Investigation on the Modeling and Ageing Characteristics of the HID Car Headlight Automotive System." Key Engineering Materials 364-366 (December 2007): 1280–84. http://dx.doi.org/10.4028/www.scientific.net/kem.364-366.1280.

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In this study, ageing effect for xenon through experiment has been studied. The study focuses on the modeling, ageing characteristics of xenon car headlight. The modeling of the lamp is based on spline interpolation algorithms. In this model, the voltage drop at the electrodes is considered as the aging factor. Ageing characteristics under the flicker condition for 4 types of xenon car headlight lamps have been measured. The flicker time is 4 seconds turn on and 2 seconds turn off, and the total testing time is 48 hours. The luminous, voltage and current of the lamp are measured. It is found that even a short period of flicker significantly affects the life time of the lamp.
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Lee, Chinuk, Munwon Lim, Chanjoong Kim, and Suk Joo Bae. "Reliability Analysis of Accelerated Destructive Degradation Testing Data for Bi-Functional DC Motor Systems." Applied Sciences 11, no. 6 (March 12, 2021): 2537. http://dx.doi.org/10.3390/app11062537.

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An accelerated degradation test (ADT) has become a popular method to accelerate degradation mechanisms by stressing products beyond their normal use conditions. The components of an automobile are degraded over time or cycle due to their constant exposure to friction or wear. Sometimes, the performance degradation can be measured only by destructive inspection such as operating torques of return-springs in a bi-functional DC motor system. Plastic deformation of the return-spring causes the degradation of actuating forces for shield movement, resulting in deterioration of the shield moving speed in a headlight system. We suggest a step-by-step procedure for a reliability analysis for a bi-functional DC motor in a headlight system, based mainly on accelerated destructive degradation test (ADDT) data. We also propose nonlinear degradation models to describe the ADDT data of the return-springs. Exposure effects of high temperatures on the return-springs are quantitatively modeled through the ADDT models. We compare the estimation results from both the closed-form expression and Monte Carlo simulation to predict the failure–time distribution at normal use conditions, showing that the lifetime estimation results from the closed-form formulation are more conservative.
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Gupta, Aman. "Automatic (Headlight) Beam Controlling module for two-wheelers." International Journal for Research in Applied Science and Engineering Technology 9, no. 9 (September 30, 2021): 509–17. http://dx.doi.org/10.22214/ijraset.2021.38006.

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Abstract: Automatic High Beam controller is a device made due to the rising number of accidents at night because of LED headlamps temporarily affecting the vision of the driver on the opposite lane. According to AAA, LED lights do a much better job of illuminating the roadway, particularly in the low-beam application versus a halogen reflector at 150 feet more during testing. But, still, that brings the max vehicle speed to about 52 miles an hour, which is still falling short of highway speeds. So, the users are suggested to drive with high beam on if there is no oncoming traffic within a reasonable distance and the roadway is improperly lit. But in practice most people drive with the high beam settings in places with or without traffic great from the user's standpoint. However, even on low beam, they have such a high intensity that on 2-lane roads, especially when the oncoming driver of a car or small pickup approaches the LED equipped truck at night, in rain, fog, or snow the oncoming driver is blinded at a level equal to or greater than if the LED equipped vehicle were using conventional halogen high beams. This device is made without distance or ambient lighting being deciding factors and entirely based on user’s discretion. The transmitter model is fitted with a button that sends a signal to the receiver model using nrf24L01 modules and AT Mega 8 microcontroller (programmed using Arduino UNO). The pressing of button causes the state of the button to be set to HIGH. This signals the receiving circuit to set the LED pin to LOW. Therefore, the High Beam is set to Low Beam for 5 seconds when the impulse is received. Due to the use of H4 C6 headlamps which are rated for 36W with a minimum power requirement of 12W an adapter was connected to convert 220V AC supply to 12V, 3A DC supply for the LED and the rest of the circuit.
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Astuti, W., S. Tan, M. I. Solihin, R. S. Vincent, and B. Michael. "Automatic Voice-Based Recognition For Automotive Headlights Beam Control." International Journal of Automotive and Mechanical Engineering 18, no. 1 (March 2, 2021). http://dx.doi.org/10.15282/ijame.18.1.2021.05.0640.

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Driving comfort plays an important role in modern automotive technologies. One of the ways of comforting the driver is the voice-based recognition to control car headlights. The driver uttered a ‘specific word’ that is taken as an input to the proposed voice-based recognition system. The proposed mechanism then determines if the signal was either ‘high beam’ or ‘low beam’ to control the car headlights. To activate the headlight’s beam, this voice recognised signal is sent to a processing board. Mel Frequency Cepstral Coefficient (MFCC) is used in the recognition mechanism to extract the uttered word before being fed into Artificial Neural Networks (ANN) and Support Vector Machines (SVM) as a classification engine. The proposed automatic voice-based recognition was evaluated via experimental work. The results show that the proposed automatic voice-based recognition for headlights activation control involving MFCC feature works effectively in which SVM gives slightly better performance accuracy when compared to ANN. In addition to a lesser training time, the resulting accuracy using SVM in the training and testing phase is 93.595% and 91.74% respectively. Meanwhile, ANN has an accuracy of 89.39% and 88.16% in the training and testing respectively.
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Starr, N., N. Panda, E. W. Johansen, J. A. Forrester, E. Wayessa, D. Rebollo, A. August, et al. "The Lifebox Surgical Headlight Project: engineering, testing, and field assessment in a resource-constrained setting." British Journal of Surgery, June 27, 2020. http://dx.doi.org/10.1002/bjs.11756.

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Dissertations / Theses on the topic "Headlights testing"

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Melničuk, Petr. "Nová koncepce testovacích přípravků pro přední světlomety osobních vozidel." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2021. http://www.nusl.cz/ntk/nusl-442817.

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The subject of this diploma thesis is designing a way of substituting pneumatic drives with electrical actuators for mechanical movements in a headlights tester. The thesis also contains a theoretical introduction to the issue in the first part. Substitution variants are assessed considering chosen parameters and evaluated using multi-criteria evaluation method. Two final designs are compiled based on the evaluation results and processed into the 3D model of the tester. Drawings are produced for these solutions. In conclusion, a recommendation derived from achieved results is given to the tester manufacturer, ELCOM a.s.
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Conference papers on the topic "Headlights testing"

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Zhang, Pengfei, Dawei Qing, Xuecheng Yuan, Xiao Yuan, Xiaoyang Li, Xiang Zhang, and Fan Gao. "Research and design of projection objective of automobile pixel headlight." In Conference on Optics Ultra Precision Manufacturing and Testing, edited by Dawei Zhang, Lingbao Kong, and Xichun Luo. SPIE, 2020. http://dx.doi.org/10.1117/12.2579957.

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