Name: Enhancing Road Safety Through Adaptive Headlight System for Two-Wheelers
Uploaded: 2024-04-15
Duration: 6 min 4 s
Description: Enhancing Road Safety Through Adaptive Headlight System for Two-Wheelers.

undefined. Enhancing Road Safety Through Adaptive Headlight System for Two-Wheelers. 

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Enhancing Road Safety Through Adaptive Headlight System for Two-Wheelers

Authors: Prof. Vijaykumar Lamba, Kshitij Rengade Presented By: Kshitij Rengade Paper ID : 174

undefined. 2. Outline. INTRODUCTION PROBLEM STATEMENT OBJECTIVE OF PROJECT PROPOSED SYSTEM METHODOLOGY LEARNING’S FROM LED SYSTEM CONTROL FUTURE SCOPE CONCLUSION REFERENCES. 

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INTRODUCTION  PROBLEM STATEMENT  OBJECTIVE OF PROJECT PROPOSED SYSTEM  METHODOLOGY LEARNING’S FROM LED SYSTEM CONTROL FUTURE SCOPE  CONCLUSION REFERENCES

undefined. The term ‘adaptive’ indicates that the vehicle lighting should change in response to traffic and road conditions such as oncoming cars and road lighting. Two-wheelers have historically been equipped with relatively basic headlamps that provide a fixed beam of light. The present illumination systems for motor vehicles are static. The technological developments have made it possible to start designing a new generation of vehicle illumination systems.. 

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The term ‘adaptive’ indicates that the vehicle lighting should change in response to traffic and road conditions such as oncoming cars and road lighting. Two-wheelers have historically been equipped with relatively basic headlamps that provide a fixed beam of light. The present illumination systems for motor vehicles are static.  The technological developments have made it possible to start designing a new generation of vehicle illumination systems.

Limited Visibility. Difficulty in Judging Speed. Potential for Surprise Encounters. Potholes & obstacles on roads.. 

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Limited Visibility.  Difficulty in Judging Speed.  Potential for Surprise Encounters.  Potholes & obstacles on roads.

Improved Visibility in Turns. Dynamic Beam Control. Enhanced Peripheral Lighting. Integration with Vehicle Systems.. 

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Improved Visibility in Turns.  Dynamic Beam Control. Enhanced Peripheral Lighting. Integration with Vehicle Systems.

The headlight has dedicated sections or compartments for the cornering LEDs. The headlight is integrated with Gyrosensor. It activates the cornering LEDs when the bike approaches a turning or blind corner. The Microcontroller is ATmega328P. The I2C communication protocol is used between master & slave. A prototype model.. 

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The headlight has dedicated sections or compartments for the cornering LEDs. The headlight is integrated with Gyrosensor. It activates the cornering LEDs when the bike approaches a turning or blind corner.  The Microcontroller is ATmega328P. The I2C communication protocol is used between master & slave.   A prototype model.

7. Implemented Prototype Model. [image]. [image]. 

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8. Flowchart. [image] Ignition ON High Beam ON If gyrok If Tues hold Right cornering LED ON Left CO"rring LED ON. 

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[image] Ignition ON
High Beam ON
If gyrok
If
Tues hold
Right cornering LED ON
Left CO"rring LED ON

9. System Pin Configuration. Internal Connections. 

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[image] vcc
GND
• SCLroe
•son
SDA
XDA -
XDA (A .niliary Serial
'OXCLØ.a
xcL (Auxiliary serial
ADO (nc Address
INT

Fig.1. Microcontroller to Slave pin to pin connections

Fig.2. InvenSense MPU 6050 Six-Axis (Gyro + Accelerometer)

X-axis is: Roll (Tilting left or right) Y-axis is: Pitch (Tilting forward or backward) Z-axis is: Yaw (Rotational movement around the vertical axis). 

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X-axis is: Roll (Tilting left or right)  Y-axis is: Pitch (Tilting forward or backward)  Z-axis is: Yaw (Rotational movement around the vertical axis)

11. Methodology. Program Analysis. 1. Set the Threshold Angle. 

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[image] 11
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float
float
float
float
thresholdLeftDegrees = 25 e
thresholdRightDegrees - 25.ø;
deadZoneDegrees = 10 ø
sensitivitySca1eFactor
16.4;
// Threshold for left tilt (in degrees)
// Threshold for right tilt (in degrees)
// Dead zone (in degrees)
// Sensitivity scale factor for the MPlJ6ØSe

[image] 16
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void setup() {
Wire. begin() ;
Wire. setc10ck(4ØOØOØ) ;
mpu . initialize();

12. Methodology. Program Analysis. 3. To Calculate Threshold.. 

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[image] 36
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int
int
thresholdLeftLSB int(thresholdLeftDegrees
* sensitivitySca1eFactor);
thresholdRightLSB
= int(thresh01dRightDegrees
* sensitivitySca1eFactor);

4. Check if the bike is tilting to the left or right.

[image] 40 v
43 v
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if (gyrox < -thresholdLeftLSB) else if (gyroX > thresholdRiehtLSB) else {
// Add a dead zone to eliminate small movements
* sensitivityScaleF-actor)
if (gyroX < •deadZoneDeerees
digitalwrite(ledLeft, LOW);
digitalwrite(ledRight, LC%Q);

Basics of Lighting – Structure of Headlamp & Different functions of headlamp. Hardware Aspects – Selection Criteria for Various Components. System Aspects – Adjustment impacts the overall behavior of the LED control system. Code Optimization – Identifying and eliminating potential sources of delays. Sensor Calibration – The importance of sensor calibration.. 

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Basics of Lighting – Structure of Headlamp & Different functions of headlamp.  Hardware Aspects – Selection Criteria for Various Components.  System Aspects – Adjustment impacts the overall behavior of the LED control system. Code Optimization – Identifying and eliminating potential sources of delays.  Sensor Calibration – The importance of sensor calibration.

Matrix or Pixel LED Headlights. Glare-Free High Beams. Pixel Light Control. Smart Adaptive Beam Shaping.. 

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Matrix or Pixel LED Headlights.  Glare-Free High Beams.  Pixel Light Control.  Smart Adaptive Beam Shaping.

The findings not only demonstrate the effectiveness of these systems in optimizing illumination based on environmental conditions but also underscore their potential to mitigate road accidents. The seamless integration of intelligent sensors, microcontrollers, and adaptive mechanisms not only enhances the driving experience but also sets the stage for further innovations in connected vehicle technologies and machine learning.. 

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The findings not only demonstrate the effectiveness of these systems in optimizing illumination based on environmental conditions but also underscore their potential to mitigate road accidents.  The seamless integration of intelligent sensors, microcontrollers, and adaptive mechanisms not only enhances the driving experience but also sets the stage for further innovations in connected vehicle technologies and machine learning.

A. Guru Dineshkumar, A. k. Singh and B. Karthikeyan, "Design and Implementation of Intelligent Headlight System for Improvised Safety in Vehicles," 2018 2nd International Conference on Trends in Electronics and Informatics (ICOEI), Tirunelveli, India, 2018, pp. 667-670, doi: 10.1109/ICOEI.2018.8553951. T. Hacibekir, S. Karaman, E. Kural, E. S. Ozturk, M. Demirci and B. Aksun Guvenc, ”Adaptive headlight sys- tem design using hardware-in-the-loop simulation,” 2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control, Munich, Germany, 2006, pp. 915- 920, doi: 10.1109/CACSD-CCA-ISIC.2006.4776767. S. V. Bayona, H. Koulouh, A. Noronha, F. Lamarque and C. Prelle,” Novel Use of a Piezoelectric Ultrasonic Motor for Headlamp Leveling,” 2019 IEEE/ASME In- ternational Conference on Advanced Intelligent Mecha- tronics (AIM), Hong Kong, China, 2019, pp. 1299-1304,doi: 10.1109/AIM.2019.8868339. W. Chen, J. Fan, G. Qi, C. Sun, W. Yang and S. Cao, ”Optical and Thermal Designs of LED Matrix Module used in Automotive Headlamps,” 2019 16th China International Forum on Solid State Lighting 2019 International Forum on Wide Bandgap Semiconductors China (SSLChina: IFWS), Shenzhen, China, 2019 18] H. Sun, T. Nakane, N. Zhang and C. Zhang, ”Evolu- tionary Rear-Lamp Tracking at Nighttime,” in IEEE Ac- cess, vol. 9, pp. 86667-86676, 2021, doi: 10.1109/AC- CESS.2021.3087238. A. Nambisan, A. Chandran, P. P K and M. G Nair, ”Ad-vanced Body Controlled Safety System for Connected and Autonomous Vehicle,” 2021 Second International Conference on Electronics and Sustainable Communi- cation Systems (ICESC), Coimbatore, India, 2021, pp. 507-514, doi: 10.1109/ICESC51422.2021.9532984. S. Hadiyoso, A. Z. Ramdani, Y. S. Rohmah and A. Rizal,” Power consumption efficiency on LED head- lamp of motorcycle,” 2017 2nd International confer- ences on Information Technology, Information Systems and Electrical Engineering (ICITISEE), Yogyakarta, Indonesia, 2017, pp. 384-387, doi: 10.1109/ICI- TISEE.2017.8285533. X. Zhao, L. Zhao, Z. Deng and G. Ji, ”An Automo-tive Headlight Leveling Control Strategy with Rough Road Identification,” 2023 42nd Chinese Control Con- ference (CCC), Tianjin, China, 2023, pp. 1-6, doi: 10.23919/CCC58697.2023.10239715 H. Fechtner, M. Stenner, J. Schuster, T. Kliem, T. Teschner and B. Schmuelling, "Automatic Headlight Leveling System with a Modular Design for the Automotive Aftermarket," 2019 IEEE 9th International Conference on Consumer Electronics (ICCE-Berlin), Berlin, Germany, 2019, pp. 357-362, doi: 10.1109/ICCE Berlin47944.2019.8966139.. 

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A. Guru Dineshkumar, A. k. Singh and B. Karthikeyan, "Design and Implementation of Intelligent Headlight System for Improvised Safety in Vehicles," 2018 2nd International Conference on Trends in Electronics and Informatics (ICOEI), Tirunelveli, India, 2018, pp. 667-670, doi: 10.1109/ICOEI.2018.8553951.  T. Hacibekir, S. Karaman, E. Kural, E. S. Ozturk, M. Demirci and B. Aksun Guvenc, ”Adaptive headlight sys- tem design using hardware-in-the-loop simulation,” 2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control, Munich, Germany, 2006, pp. 915- 920, doi: 10.1109/CACSD-CCA-ISIC.2006.4776767.   S. V. Bayona, H. Koulouh, A. Noronha, F. Lamarque and C. Prelle,” Novel Use of a Piezoelectric Ultrasonic Motor for Headlamp Leveling,” 2019 IEEE/ASME In- ternational Conference on Advanced Intelligent Mecha- tronics (AIM), Hong Kong, China, 2019, pp. 1299-1304,doi: 10.1109/AIM.2019.8868339.  W. Chen, J. Fan, G. Qi, C. Sun, W. Yang and S. Cao, ”Optical and Thermal Designs of LED Matrix Module used in Automotive Headlamps,” 2019 16th China International Forum on Solid State Lighting 2019 International Forum on Wide Bandgap Semiconductors China (SSLChina: IFWS), Shenzhen, China, 2019 18] H. Sun, T. Nakane, N. Zhang and C. Zhang, ”Evolu- tionary Rear-Lamp Tracking at Nighttime,” in IEEE Ac- cess, vol. 9, pp. 86667-86676, 2021, doi: 10.1109/AC- CESS.2021.3087238.  A. Nambisan, A. Chandran, P. P K and M. G Nair, ”Ad-vanced Body Controlled Safety System for Connected and Autonomous Vehicle,” 2021 Second International Conference on Electronics and Sustainable Communi- cation Systems (ICESC), Coimbatore, India, 2021, pp. 507-514, doi: 10.1109/ICESC51422.2021.9532984. S. Hadiyoso, A. Z. Ramdani, Y. S. Rohmah and A.  Rizal,” Power consumption efficiency on LED head- lamp of motorcycle,” 2017 2nd International confer- ences on Information Technology, Information Systems and Electrical Engineering (ICITISEE), Yogyakarta, Indonesia, 2017, pp. 384-387, doi: 10.1109/ICI- TISEE.2017.8285533.  X. Zhao, L. Zhao, Z. Deng and G. Ji, ”An Automo-tive Headlight Leveling Control Strategy with Rough Road Identification,” 2023 42nd Chinese Control Con- ference (CCC), Tianjin, China, 2023, pp. 1-6, doi: 10.23919/CCC58697.2023.10239715 H. Fechtner, M. Stenner, J. Schuster, T. Kliem, T. Teschner and B. Schmuelling, "Automatic Headlight Leveling System with a Modular Design for the Automotive Aftermarket," 2019 IEEE 9th International Conference on Consumer Electronics (ICCE-Berlin), Berlin, Germany, 2019, pp. 357-362, doi: 10.1109/ICCE Berlin47944.2019.8966139.

Traffic Sign Detection for 2 Wheeler Head- Lamp,” 2022 IEEE 7th International Conference for Convergence in Technology (I2CT), Mumbai, India, 2022, 10.1109/I2CT54291.2022.9824519. 2. pp. 1-6, doi: Al-Subhi, Basma Hasoon, Feras Fadhil, Hilal Manic, Suresh Biju, Roshima. (2019). Smart vehicle headlights control system. AIP Conference Proceedings. 2137. 030001. 10.1063/1.5120994. Design And Development of Automatic Headlights for Two Wheelers Devendra Vashist, Dhruv Gulati, Nanak Jhamb, Abhishek Mangla Mangla, Journal of Automobile Engineering and Applications, ISSN: 2455-3360 Intelligent Headlight System Keerthi V N, Hitesh Ku- mar S P, Nagaraja V H, Hanumanthegowda C, Ar- avinda D INTERNATIONAL JOURNAL OF SCIEN- TIFIC TECHNOLOGY RESEARCH VOLUME 8, IS- SUE 08, AUGUST 2019 ISSN 2277-8616 Design of a Guidable Cornering Light System for Faired Motorcycle DOI: 10.22214/ijraset.2022.39816 International Journal for Research in Applied Science and Engineering Technology. G. Toney and C. Bhargava, ”Adaptive Headlamps in Automobile: A Review on the Models, Detection Techniques, and Mathematical Models,” in IEEE Access, vol. 9, pp. 87462-87474, 2021, doi: 10.1109/AC- CESS.2021.3088036. Z. Huo, W. Jin, and P. Tang, ”Design of Lightweight Adaptive Headlamp System Based on STM32,” 2021 40th Chinese Control Conference (CCC), Shanghai, China, 2021, pp. 3786-3791, doi: 10.23919/CCC52363.2021.9550529. L. Huan and L. Chao, ”Automotive Adaptive Headlamp Predictive Control Algorithm Design,” 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC), Chengdu, China, 2019, pp. 1629-1632, doi: 10.1109/IT- NEC.2019.8729551. S. Li and L. Zhao, ”A Low-Cost and Fast Vehicle Detection Algorithm With a Monocular Camera for Adaptive Driving Beam Systems,” in I pp. 26147-26155, 2021, doi: 10.1109/AC- CESS.2021.3057862.EEE Access, vol. 9. S. G. Magar, ”Adaptive Front Light Systems of Ve- hicle for Road Safety,” 2015 International Conference on Computing Communication Control and Automa- tion, Pune, India, 2015, pp. 551-554, doi: 10.1109/IC- CUBEA.2015.113.. 

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Traffic Sign Detection for 2 Wheeler Head- Lamp,” 2022 IEEE 7th International Conference for Convergence in Technology (I2CT), Mumbai, India, 2022, 10.1109/I2CT54291.2022.9824519. 2. pp. 1-6, doi:  Al-Subhi, Basma Hasoon, Feras Fadhil, Hilal Manic, Suresh Biju, Roshima. (2019). Smart vehicle headlights control system. AIP Conference Proceedings. 2137. 030001. 10.1063/1.5120994.  Design And Development of Automatic Headlights for Two Wheelers Devendra Vashist, Dhruv Gulati, Nanak Jhamb, Abhishek Mangla Mangla, Journal of Automobile Engineering and Applications, ISSN: 2455-3360  Intelligent Headlight System Keerthi V N, Hitesh Ku- mar S P, Nagaraja V H, Hanumanthegowda C, Ar- avinda D INTERNATIONAL JOURNAL OF SCIEN- TIFIC TECHNOLOGY RESEARCH VOLUME 8, IS- SUE 08, AUGUST 2019 ISSN 2277-8616  Design of a Guidable Cornering Light System for Faired Motorcycle DOI: 10.22214/ijraset.2022.39816 International Journal for Research in Applied Science and Engineering Technology.  G. Toney and C. Bhargava, ”Adaptive Headlamps in Automobile: A Review on the Models, Detection Techniques, and Mathematical Models,” in IEEE Access, vol. 9, pp. 87462-87474, 2021, doi: 10.1109/AC- CESS.2021.3088036.  Z. Huo, W. Jin, and P. Tang, ”Design of Lightweight Adaptive Headlamp System Based on STM32,” 2021 40th Chinese Control Conference (CCC), Shanghai, China, 2021, pp. 3786-3791, doi: 10.23919/CCC52363.2021.9550529.  L. Huan and L. Chao, ”Automotive Adaptive Headlamp Predictive Control Algorithm Design,” 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC), Chengdu, China, 2019, pp. 1629-1632, doi: 10.1109/IT- NEC.2019.8729551.  S. Li and L. Zhao, ”A Low-Cost and Fast Vehicle Detection Algorithm With a Monocular Camera for Adaptive Driving Beam Systems,” in I pp. 26147-26155, 2021, doi: 10.1109/AC- CESS.2021.3057862.EEE Access, vol. 9. S. G. Magar, ”Adaptive Front Light Systems of Ve- hicle for Road Safety,” 2015 International Conference on Computing Communication Control and Automa- tion, Pune, India, 2015, pp. 551-554, doi: 10.1109/IC- CUBEA.2015.113.