Driver score system based on driving characteristics

The AI-driven scoring system integrates vehicle sensors to analyze driving behaviors and environmental factors, creating a comprehensive driving score for both driver feedback and official evaluation, enhancing safety and performance.

WO2026135627A1PCT designated stage Publication Date: 2026-06-25OYAK RENAULT OTOMOBIL FABRIKALARI ANONIM SIRKETI

Patent Information

Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
OYAK RENAULT OTOMOBIL FABRIKALARI ANONIM SIRKETI
Filing Date
2025-12-02
Publication Date
2026-06-25

AI Technical Summary

Technical Problem

Existing driver monitoring systems fail to provide a comprehensive analysis of driving behaviors, create a holistic driving score, and transmit this score to both the driver and official institutions, lacking integration of vehicle-specific data with environmental factors and personal performance evaluation.

Method used

A computer- or artificial intelligence-based scoring system that integrates vehicle sensors and cameras to analyze lane control, distance and proximity, traffic sign compliance, and cornering behavior, assigning scores and transmitting them to drivers and official institutions.

Benefits of technology

Enables detailed evaluation of driving performance, encourages safe driving habits, and contributes to traffic safety by providing real-time feedback and long-term analysis of driving habits, facilitating score transmission to official entities.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure TR2025051549_25062026_PF_FP_ABST
    Figure TR2025051549_25062026_PF_FP_ABST
Patent Text Reader

Abstract

The invention relates to a computer or artificial intelligence-based scoring system (A) and method that creates a driving score by analyzing the driver's vehicle usage and responses to environmental factors and transmits this score to the driver and official institutions.
Need to check novelty before this filing date? Find Prior Art

Description

[0001] DRIVER SCORE SYSTEM BASED ON DRIVING CHARACTERISTICS

[0002] TECHNICAL FIELD

[0003] The invention relates to a scoring system and method that creates a driving score by analyzing the driver's vehicle usage and reactions to environmental factors and transmits this score to the driver and official institutions.

[0004] PRIOR ART

[0005] In the present art, methods of monitoring the driver's behavior have been developed with hardware such as in-car cameras or sensors. These systems have generally been limited to specific functions such as lane keeping, distance monitoring or traffic sign recognition. For example, lane keeping systems only detect lane departures and alert the driver, but do not analyze how this behavior contributes to performance evaluation or scoring.

[0006] While some systems have developed features such as distance control and proximity detection, these systems generally only measure the distance to objects near the vehicle and provide instant alerts to the driver. However, this data is not used to create a driving score or evaluate a driver's long-term driving habits.

[0007] Traffic sign detection systems are also included in the prior art. These systems aim to inform or warn the driver by detecting traffic signs and panels. However, in such systems, no detailed analysis is made as to whether the driver acts in accordance with these signals, and these behaviors are not converted into an overall performance evaluation.

[0008] Cornering control systems, however, are largely limited to monitoring vehicle dynamics during cornering. For example, some systems have been developed that monitor the vehicle's speed and steering angle during cornering. However, these systems do not have a comprehensive approach to evaluate the impact of the driver's errors during cornering on overall driving performance. In previous techniques, features such as comprehensive collection and analysis of the obtained data and creation of driving scores based on these data are generally not available. In existing systems, the collected data are evaluated independently of each other and a holistic driving performance analysis cannot be provided.

[0009] In addition, the systems or methods used in the current technique generally provide warning to the driver using the vehicle with sensors, cameras and warning elements integrated into the vehicle. In addition, the systems or methods used in the present art generally provide warning to the driver using the vehicle with sensors, cameras and warning elements integrated into the vehicle. However, there is no system or method for analyzing personal driving performance. It is known in the prior art that parameters such as acceleration, deceleration and gear changes in vehicles are analyzed and presented to the user as a score. However, this data is generated by the vehicle's movement over a specific period of time. In other words, it is vehicle-specific data. In this case, in a scenario where the vehicle is shared, it is not known who is responsible for the decrease or increase in the score. Additionally, in existing systems, this data is only presented to the user and is not transmitted to any official institution. In addition, in existing systems, it is not known how to individually analyze reactions to environmental factors such as distance status and warning signs and calculate a personal score.

[0010] Furthermore, previous techniques cannot ensure that the calculated driving scores are transmitted to official institutions or insurance companies for traffic safety. This makes such systems of limited contribution to overall traffic safety or long-term analysis of driver performance.

[0011] As a result, the deficiencies found in previous techniques cannot meet the needs such as analyzing driving behaviors in a holistic way, creating a driving score, and communicating this score to both the driver and official institutions. Therefore, the development of an innovative system and method with comprehensive data collection, analysis and evaluation capabilities has become a necessity.

[0012] Considering the problems mentioned above, there is a need for a scoring system and method that analyzes the driver's vehicle use and reactions to environmental factors, creates a driving score, and transmits this score to the driver and official institutions. As a result, all the problems mentioned above have made it necessary to make an innovation in the relevant field.

[0013] OBJECT OF THE INVENTION

[0014] The present invention is put forward with the aim of eliminating the above-mentioned problems and making a technical innovation in the relevant field.

[0015] The object of the invention is to enable the creation of a personal driving score that encourages safe driving habits by analyzing the driver's vehicle handling performance and responses to environmental factors.

[0016] The object of the invention is to analyze driver behavior in a holistic manner. This allows for detailed evaluation of critical driving parameters such as lane control, distance and proximity control, compliance with traffic signs, and cornering behavior.

[0017] The object of the invention is to calculate a driving score from the collected data and present this score as meaningful feedback to the driver. The reports provided to the driver help evaluate his / her performance and develop safe driving habits.

[0018] The object of the invention is to enable the calculated driving score to be transmitted to official institutions, insurance companies or other authorized units for traffic safety or driving performance evaluation.

[0019] The object of the invention is to provide the opportunity to evaluate how the driver's behavior changes over time by analyzing long-term driving habits and providing drivers with suggestions to improve their performance.

[0020] BRIEF DESCRIPTION OF THE INVENTION

[0021] The present invention is a scoring system and method to achieve all the objectives mentioned above and which will emerge from the detailed description below.

[0022] The invention relates to a computer- or artificial intelligence-based scoring system that analyzes the driver’s vehicle usage and responses to environmental factors to generate a driving score and transmit this score to the driver and official authorities, and is characterized in that it comprises: an identity authentication module integrated into the vehicle, which includes a camera and a facial recognition algorithm to verify the driver’s identity and perform authorization (activation); a driver profile management module that receives and stores the driver’s seat and mirror position data and enables the creation and / or updating of a driver profile when needed; a lane control unit that detects lane changes using the vehicle’s lane-tracking sensors and cameras and checks the signaling status and blind-spot warning activity for scoring purposes; a distance and proximity control unit that collects data from sensors measuring distances in front of and beside the vehicle to determine whether the distance is safe; a traffic sign control unit that detects traffic signs and warning panels using the vehicle’s front cameras and analyzes the driver’s behavior in response to the detected signs; a cornering control unit that analyzes the driver’s braking behavior while turning; a data collection and processing module that gathers real-time data from the aforementioned lane control unit, distance and proximity control unit, traffic sign control unit, and cornering control unit, and assigns positive, negative, or neutral points to driving behaviors by analyzing the collected data using artificial intelligence or supervised / unsupervised learning; a calculation unit that generates a driving score based on the total points within a given time period; a reporting unit that provides the driving score report to the driver in real time or after the trip; and a score transmission module that transmits the calculated driving score to official authorities, insurance companies, or other authorized entities responsible for traffic safety or driving performance assessment.

[0023] A preferred embodiment of the invention is that it comprises a storage and analysis unit that stores all data collected during driving in a database and enables comparative analysis to be made on past driving data in order to analyze long-term driving habits and provide performance improvement suggestions to the driver.

[0024] The invention is a computer or artificial intelligence-based method that analyzes the driver's vehicle usage and reactions to environmental factors, creates a driving score, and transmits this score to the driver and official institutions, characterized in that; it comprises the following process steps:

[0025] A. Verifying the driver's identity with an authentication that comprises a camera and facial recognition algorithm integrated into the vehicle, and granting vehicle usage authorization only to authorized drivers, B. Performing a driver profile management step that allows the driver profile to be created and / or updated, by receiving and storing data on the driver's seat and mirror positions, if necessary, also, when the driver's profile cannot be detected by the camera, the driver's movements after starting to drive are compared with the previous movements, and in addition, personal settings such as seat and mirrors are included to estimate the driver's profile,

[0026] C. In order to provide scoring; a) Monitoring lane change behavior using lane tracking sensors and cameras on the vehicle; checking the signal status and the activity of the blind spot warning, b) Measuring the distances in front of and next to the vehicle with the help of sensors and determining whether the distances are safe, c) Detecting traffic signs and warning signs with the help of front cameras and other detection sensors on the vehicle and monitoring driving behavior in accordance with traffic signs and warning signs, d) Analyzing the driver's brake use, speed change and turning angle during the corner,

[0027] D. Collecting the data obtained from the above-mentioned C. process step in real time and assigning positive, negative or neutral scores to driving behaviors by analyzing and processing the collected data with artificial intelligence or supervised / unsupervised learning,

[0028] E. Creating a driving score based on total points over a specific time period,

[0029] F. Preparing a report on the driving score and presenting (reporting) this report to the driver in real time or after the drive,

[0030] G. Transmitting the calculated driving score to official institutions, insurance companies or other authorized units for the purpose of traffic safety or driving performance evaluation,

[0031] A preferred embodiment of the invention is to store the data collected during driving in a database and to analyze long-term driving habits by performing comparative analyses on these data and to provide performance improvement suggestions to the driver. BRIEF DESCRIPTION OF FIGURES

[0032] A flow diagram of the scoring system's working method is shown in Figures 1-5.

[0033] A representative schematic view of the scoring system is shown in Figure 6.

[0034] DESCRIPTION OF REFERENCE NUMBERS IN FIGURES

[0035] A. Scoring system

[0036] 1. Authentication module

[0037] 2. Driver profile management module

[0038] 3. Lane control unit

[0039] 4. Distance and proximity control unit

[0040] 5. Traffic sign control unit

[0041] 6. Cornering control unit

[0042] 7. Data collection and processing module

[0043] 71. Calculation unit

[0044] 72. Reporting unit

[0045] 73. Storage and analysis unit

[0046] 8. Score transmission module

[0047] DETAILED DESCRIPTION OF THE INVENTION

[0048] In this detailed description, the driver scoring system (A) and method based on the driving characteristics, which are the subject of the invention, are described with examples that will not form any limiting effect only for a better understanding of the subject.

[0049] The invention relates to a computer or artificial intelligence-based scoring system (A) and method that creates a driving score by analyzing the driver's vehicle usage and reactions to environmental factors and transmits this score to the driver and official institutions.

[0050] The invention refers to a computer or artificial intelligence-based system and method developed for use in vehicles having a front camera and a rear camera, as well as lane tracking, distance and blind spot sensors.

[0051] The invention comprises an authentication module (1 ) integrated into the vehicle as seen in Figure 6, and the authentication module (1 ) comprises a camera and facial recognition algorithms to verify the identity of the driver. The authentication module (1 ) ensures that the authorization (activation) process is carried out by verifying the identity of the driver. This way, only authorized drivers are allowed to use the vehicle.

[0052] The invention comprises a driver profile management module (1 ) integrated into the vehicle as seen in Figure 6, and the driver profile management module (2) enables the data regarding the driver's seat and mirror positions to be received and stored. It also enables the formation of a new driver profile or the updating of an existing profile when necessary. When the driver's face is not detected by the authentication module (1 ) or the verification process fails, it checks whether the driver is registered in the system by adjusting the seat and mirror settings. If the driver is registered, it ensures that the activation process is carried out; if the driver is unregistered, it ensures that a new record is formed. This provides a personalized driving experience for different drivers. It also updates the driver's rearview mirror and seat settings after successfully passing the authentication module (1 ).

[0053] The invention comprises a lane control unit (3), a distance and proximity control unit (4), a traffic sign control unit (5) and a cornering control unit (6) to perform the scoring process.

[0054] As seen in Figure 6, the lane control unit (3) controls the signaling status and the blind spot warning activity during lane changes by using the lane monitoring sensors and cameras on the vehicle. The distance and proximity control unit (4) determines whether the distance is safe by collecting data from sensors measuring the distances in front of and next to the vehicle. Traffic sign control unit (5) detects traffic signs and warning signs using front cameras on the vehicle and analyzes driving behaviors implemented according to the detected signs. The cornering control unit (6) enables the driver's braking behavior to be analyzed while cornering. The invention comprises a data collection and processing module (7), as seen in Figure 6. The data collection and processing module (7) enables the real-time collection of data obtained from the said lane control unit (3), distance and proximity control unit (4), traffic sign control unit (5) and cornering control unit (6) and the assignment of positive, negative or neutral scores to driving behaviors by analyzing the collected data.

[0055] It comprises a calculation unit (71 ) that allows the creation of a driving score based on the total points over a specific period. This score represents the driver's overall driving performance. The score is used as a criterion for the driver to improve his / her behavior and acquire safe driving habits. It comprises a reporting unit (72) that allows the driver to receive a report on the driving score in real time or after the drive. The reporting unit (72) provides feedback by providing a detailed report on the driver's performance. This gives the driver the opportunity to evaluate and improve their driving performance. It comprises a storage and analysis unit (73) that stores all data collected during driving in a database and enables comparative analysis to be performed on past driving data. The storage and analysis unit (73) is configured to evaluate the driver's performance and offer improvement suggestions by making comparative analyses on past driving data, thus enabling drivers to develop safer and more effective driving habits.

[0056] The invention comprises a score transmission module (8) that enables the calculated driving score to be transmitted to official institutions, insurance companies or other authorized units responsible for traffic safety or driving performance evaluation, as seen in Figure 6.

[0057] The invention comprises a heart rate monitor mounted inside the steering wheel to measure the driver's pulse. This allows it to determine whether mistakes are made out of excitement or on purpose. In this way, it is determined whether the user made the mistakes due to absentmindedness, inexperience or habit. In addition to the pulse, the driver's facial expressions are monitored through the camera and their reactions to events are evaluated.

[0058] This system was developed to encourage drivers' safe driving habits, improve traffic safety, and comprehensively evaluate driving performance. The analysis of collected data and its transmission to official institutions aims to contribute to both individual and general traffic safety. The flow diagram of the scoring system (A) operation is shown in Figures 1 -5. As seen in Figure 1 , when the driver gets into the vehicle, the driver's identity is first verified through an authentication step that comprises a camera integrated into the vehicle and a facial recognition algorithm. If the driver's identity cannot be verified, seat or mirror positions are used to determine whether the driver is an authorized driver and authorization is made. A new driver profile can be formed for the new driver, and the driver's seat and / or mirror positions can be updated.

[0059] After the above-mentioned authentication process, the processes mentioned in Figure 2-5 are applied in real time to score the driver's driving score.

[0060] As seen in Figure 2, lane change behavior is monitored using lane tracking sensors and cameras on the vehicle; signaling status and blind spot warning activity are checked. If a lane change is made with a signal, a positive score is given. A negative score is given if the lane changing is made without signaling. However, if a defect is detected on the road, a negative score is not given.

[0061] As seen in Figure 3, the distances in front of and next to the vehicle are measured with the help of sensors and it is determined whether the distances are safe or not. If the distance to the vehicle in front is closer than it should be, a negative score is given; if it is not too close, a positive score is given. If the distance to the vehicles on the sides is at or greater than the required safe distance, a positive score is given; if it is closer than required, a negative score is given. However, if a vehicle on the side approaches the driver’s vehicle uncontrollably, a positive score is given if the driver performs an avoidance maneuver, and if the driver does not take any avoidance action, the system remains neutral and no score is assigned.

[0062] As seen in Figure 4, the detection of traffic signs and warning signs and the monitoring of driving behavior in accordance with traffic signs and warning signs are carried out with the help of front cameras and other detection sensors on the vehicle. If a warning such as a sign, light, or plate that requires the vehicle to slow down is detected from the vehicle's front camera, the acceleration data is checked.

[0063] If there is no change in the acceleration data, the vehicle is detected from the sensor or the rearview camera. If there is a vehicle, it remains neutral and no points are given; if there is no vehicle, a negative point is given. If there is an increase in acceleration data, a vehicle is detected via the sensor or rearview camera. If a vehicle is present, a positive score is given; if not, a negative score is given.

[0064] A positive score is given if there is a decrease in acceleration data. However, if the majority of the decrease is due to engine braking, a positive score is given. If most of the reduction is achieved by brake pressure, remain neutral and no points are awarded.

[0065] If the driver used the vehicle in accordance with the signs and boards, positive points are given, if not, negative points are given.

[0066] As seen in Figure 5, the driver's brake use, speed change and turning angle during the cornering are analyzed. This determines the driver's response to cornering. If the driver uses the brakes while turning a corner, it is checked whether there is a vehicle detected by the camera and if there is a vehicle, a neutral score is given, if there is no vehicle, a negative score is given. A positive score is given if the driver did not use the brakes while cornering.

[0067] The invention comprises a heart rate monitor mounted inside the steering wheel to measure the driver's pulse. This allows it to determine whether mistakes are caused by excitement or are made on purpose. In this way, it is determined whether the user made the mistakes due to absentmindedness, inexperience or habit.

[0068] The data obtained is collected in real time and the collected data is analyzed and processed with artificial intelligence or supervised / unsupervised learning to assign positive, negative or neutral scores to driving behaviors. In addition, a driving score is created based on the total points in a certain time period, a report on the driving score is prepared, and this report is presented (reported) to the driver in real time or after the drive. In addition, the calculated driving score is transmitted to official institutions, insurance companies or other authorized units for the purpose of traffic safety or driving performance evaluation.

[0069] The speed or slowness of the driver's reactions to events is checked to assess whether there is a loss of motor skills. As a result of this evaluation, these results are communicated to the relevant institutions on a long-term and short-term basis during the driver's license renewal. In case of a negative report, the relevant institution requests more detailed tests (in addition to standard tests) to prevent possible accidents. In case of car insurance policy renewals, risk status is evaluated according to the motor skill report in addition to the driving score.

[0070] The scope of protection of the invention is specified in the appended claims and cannot be limited to what is described in this detailed description for illustrative purposes. Because it is clear that a person skilled in art can come up with similar structures in the light of what is described above without deviating from the main theme of the invention.

Claims

CLAIMS1. A computer or artificial intelligence-based scoring system (A) that creates a driving score by analyzing the driver's vehicle usage and reactions to environmental factors and transmits this score to the driver and official institutions, characterized in that; it comprises:• Authentication module (1 ), which comprises a camera and facial recognition algorithm integrated into the vehicle and performs authorization (activation) by verifying the identity of the driver,• Driver profile management module (2), which allows the driver's seat and mirror position data to be received and stored and the driver profile to be created and / or updated when necessary,• In order to provide scoring; o Lane control unit (3), which detects lane changes using lane tracking sensors and cameras on the vehicle and controls the signal status and the activity of the blind spot warning system, o Distance and proximity control unit (4), which collects data from sensors measuring the distances in front of and next to the vehicle and determines whether the distance is safe or not, o Traffic sign control unit (5), which detects traffic signs and warning signs using the front cameras on the vehicle and analyzes the driving behaviors implemented according to the detected signs, o Cornering control unit (6) that allows the driver's braking behavior to be analyzed when cornering,• Data collection and processing module (7) that allows the real-time collection of data obtained from the mentioned lane control unit (3), distance and proximity control unit (4), traffic sign control unit (5) and cornering control unit (6) and the assignment of positive, negative or neutral scores to driving behaviors by analyzing the collected data with artificial intelligence or supervised / unsupervised learning,• Calculation unit (71 ) that allows the creation of a driving score based on the total points in a certain time period,• Reporting unit (72) that provides the driver with a report on the driving score in real time or after the drive,• Score transmission module (8) that enables the calculated driving score to be transmitted to official institutions, insurance companies or other authorized units responsible for traffic safety or driving performance evaluation.

2. A scoring system according to claim 1 , wherein; it comprises a storage and analysis unit (73) that stores all data collected during driving in a database and enables comparative analysis to be made on past driving data in order to analyze long-term driving habits and provide performance improvement suggestions to the driver.

3. A computer or artificial intelligence-based method that creates a driving score by analyzing the driver's vehicle usage and reactions to environmental factors and transmits this score to the driver and official institutions, characterized in that; it comprises the following process steps:A. Verifying the driver's identity with an authentication that comprises a camera and facial recognition algorithm integrated into the vehicle, and granting vehicle usage authorization only to authorized drivers,B. Performing a driver profile management step that allows the driver profile to be created and / or updated, by receiving and storing data on the driver's seat and mirror positions, if necessary,C. In order to provide scoring; a) Monitoring lane change behavior using lane tracking sensors and cameras on the vehicle; checking the signal status and the activity of the blind spot warning, b) Measuring the distances in front of and next to the vehicle with the help of sensors and determining whether the distances are safe, c) Detecting traffic signs and warning signs with the help of front cameras and other detection sensors on the vehicle and monitoring driving behavior in accordance with traffic signs and warning signs, d) Analyzing the driver's brake use, speed change and turning angle during the corner,D. Collecting the data obtained from the above-mentioned C. process step in real time and assigning positive, negative or neutral scores to drivingbehaviors by analyzing and processing the collected data with artificial intelligence or supervised / unsupervised learning,E. Creating a driving score based on total points over a specific time period,F. Preparing a report on the driving score and presenting (reporting) this report to the driver in real time or after the drive,G. Transmitting the calculated driving score to official institutions, insurance companies or other authorized units for the purpose of traffic safety or driving performance evaluation.

4. A method according to claim 3, wherein; the data collected during driving is stored in a database and long-term driving habits are analyzed by making comparative analyses on these data and providing performance improvement suggestions to the driver.