HIGH BEAM CONTROL SYSTEM IN AUTOMOTIVE HEADLIGHTS EXPERIMENT PROJECT
Title: Comparative Study of Upper Dipper Light Control Methods in Automotive Headlights
Objective: To investigate and compare different methods for controlling the upper dipper light (high beam) in automotive headlights in terms of efficiency, visibility, and driver comfort.
Materials:
An automotive headlight with a high beam (upper dipper light) control systemLight meter or lux meterExperimental vehicle (with adjustable upper dipper light control)Test track or road with varying levels of ambient lightingParticipants (drivers) for the experiment
Experimental Procedure:
Select and install different methods of controlling the upper dipper light in the experimental headlight. For example, you could compare traditional mechanical methods such as a manual switch, with more advanced methods such as automatic high beam control using sensors, cameras, or machine learning algorithms.
Calibrate the light meter or lux meter to measure the intensity of the upper dipper light.
Conduct the experiment on the test track or road with varying levels of ambient lighting. Ensure that the conditions are safe and comply with all local traffic laws and regulations.
Randomly assign participants (drivers) to different control methods for the upper dipper light, and have them drive the experimental vehicle along the test track or road. Record relevant data such as light intensity measurements, driver comfort ratings, and visibility observations.
Repeat the experiment with multiple participants and under different ambient lighting conditions to obtain a statistically significant sample size.
Analyze the data collected, including light intensity measurements, driver comfort ratings, and visibility observations, using appropriate statistical methods such as t-tests, ANOVA, or regression analysis.
Draw conclusions based on the results obtained and discuss the findings in the context of efficiency, visibility, and driver comfort.
Summarize the experiment in a report, including the experimental setup, procedure, results, and conclusions.
Possible hypotheses to test in the experiment:
Automatic high beam control using sensors or cameras will result in more efficient upper dipper light usage compared to manual control.Machine learning algorithms for automatic high beam control will provide better visibility and driver comfort compared to traditional methods.The intensity of the upper dipper light will affect driver comfort and visibility, with higher intensities resulting in better performance.
Note: The actual experiment design and methodology may vary depending on the specific requirements and constraints of your project, and it's important to follow appropriate safety guidelines and regulations during the experiment.
References
1) Tejas Vijay Narkar
B.E., Instrumentation Engineering, VPM’s Maharshi Parshuram College of Engineering, Maharashtra, India
Number of vehicles on our roads is increasing day by day, also the technology has developed but the safety factor is always
needed to be considered. Now a day’s vehicles come fitted with lots of safety features. One of the essential safety feature that need
to be installed is automatic upper-dipper control of headlight, this feature can mainly use during night time driving. Human eyes
are very sensitive to the light, if eyes suddenly comes in contact with the light after darkness, cornea present in eyes gets contract
i.e. vision gets blank and require some time to recover the vision. Many times the situation comes when suddenly vehicle
approaches from front with headlight in upper mode causes blindness to the eyes of the driver. During that time vehicle covers
some amount of distance, here chances of accident may occur. It is a sheer luck if person goes safely through that situation. To
overcome this manual dipping problem, an automatic mechanism has made to dip the headlight automatically whenever situation
occurs
1)
Tejas Vijay Narkar
International Journal of Research in Engineering and Technology 5 (3), 97-101, 2016
Number of vehicles on our roads is increasing day by day, also the technology has developed but the safety factor is always needed to be considered. Now a day’s vehicles come fitted with lots of safety features. One of the essential safety feature that need to be installed is automatic upper-dipper control of headlight, this feature can mainly use during night time driving. Human eyes are very sensitive to the light, if eyes suddenly comes in contact with the light after darkness, cornea present in eyes gets contract ie vision gets blank and require some time to recover the vision. Many times the situation comes when suddenly vehicle approaches from front with headlight in upper mode causes blindness to the eyes of the driver. During that time vehicle covers some amount of distance, here chances of accident may occur. It is a sheer luck if person goes safely through that situation. To overcome this manual dipping problem, an automatic mechanism has made to dip the headlight automatically whenever situation occurs. This can reduce number of accidents during night time and provide comfortable driving. Operating principle, working and design of PCB is briefly discussed in this paper.
2) Saurabh Shivashankar Kore, Debashis Maji
2022 IEEE 10th Region 10 Humanitarian Technology Conference (R10-HTC), 226-231, 2022
Night-time travelling experiences are much more hazardous as compared to that at daytime while driving around night since the incoming bright lights form vehicles in opposite lane quite often blindfolds the driver's eyes particularly when it's kept under “upper” mode. This momentary blindfoldedness may sometimes be sufficient enough to trigger series of mishappenings often accounting into a bigger accident. There are various solutions to this problem like use of night vision spectacles, anti-collision system using RADAR, Li-DER, UV, etc available in the market, but they are mostly very expensive. Likewise, the utilization of these systems shows no critical change in the proportion of mishaps. Present project aims at decreasing the amount of night accidents through use of an innovative automated “upper-dipper” system. Also, the assembling cost of this venture is less than other products which exist in the market. In addition to the above issue, during night time most of the users face difficulties seeing the signboards and following the instructions. Present work also aims to tackle this issue using smart IoT signboards with embedded RFID tags. In this framework, signboards are identified by vehicles, and automatic action takes place as per instruction which is coded inside smart signboards e.g. speed limit, no horn, and so forth. Thus, this article presents strategies utilized for safe driving at the night to diminish the proportion of on-road mishaps. This study will also help the policymakers to plan a safer framework for users.
3) Ann Marie Cody, Lynne A Hillenbrand
The Astronomical Journal 156 (2), 71, 2018
The K2 Mission has photometrically monitored thousands of stars at high precision and cadence in a series of∼ 80-day campaigns focused on sections of the ecliptic plane. During its second campaign, K2 targeted over 1000 young stellar objects (YSOs) in the∼ 1–3 Myr ρ Ophiuchus and 5–10 Myr Upper Scorpius regions. From this set, we have carefully vetted photometry from WISE and Spitzer to identify those YSOs with infrared excess indicative of primordial circumstellar disks. We present here the resulting comprehensive sample of 288 young disk-bearing stars from B through M spectral types and analysis of their associated K2 light curves. Using statistics of periodicity and symmetry, we categorize each light curve into eight different variability classes, notably including" dippers"(fading events)," bursters"(brightening events), stochastic, and quasi-periodic types. Nearly all (96%) of disk-bearing YSOs are identified as variable at 30-minute cadence with the sub-1% precision of K2. Combining our variability classifications with (circum) stellar properties, we find that the bursters, stochastic sources, and the largest amplitude quasi-periodic stars have larger infrared colors, and hence stronger circumstellar disks. They also tend to have larger Hα equivalent widths, indicative of higher accretion rates. The dippers, on the other hand, cluster toward moderate infrared colors and low Hα. Using resolved disk observations, we further find that the latter favor high inclinations, except for a few notable exceptions with close to face-on disks. These observations support the idea that YSO time-domain properties are dependent on several factors, including accretion rate and view angle.
