Riding control method, device and system, electronic equipment and storage medium

Abstract

The invention provides a riding control method, device and system, electronic equipment and a storage medium, and the method comprises the steps: carrying out the grip strength detection based on the grip strength data in the riding process of a vehicle, and obtaining a grip strength detection result; the grip strength detection result comprises at least one of grip strength magnitude, duration and grip strength comparison condition of two sides of a handlebar of the vehicle; according to the method, the gripping force detection result is detected, the riding of the vehicle is controlled on the basis of the gripping force detection result, and the defects that various dangerous riding behaviors are likely to occur in the riding process of an electric vehicle at present, the life safety of a rider and other road users is threatened, and the normal traffic order is affected are overcome; according to the invention, the method can achieve the effective management and control of dangerous riding behaviors in the riding process of a vehicle, can standardize the riding behaviors of a user, controls the disorder of riding, reduces the occurrence rate of traffic accidents, guarantees the riding safety, reduces the operation cost and accident handling pressure, optimizes the use experience of the user, and improves the credibility of the user for the shared electric vehicle service.

Description

Technical Field

[0001] The present invention relates to the field of vehicle control technology, and in particular to a riding control method, device, system, electronic equipment and storage medium. Background Art

[0002] In recent years, the sharing economy model has flourished. As an emerging force in the field of urban green travel, shared electric vehicles have quickly occupied a place in urban transportation with their significant advantages such as convenience and environmental protection, and the number of users has shown a continuous growth trend.

[0003] However, as the number of users grows, irregular riding practices are becoming increasingly prominent. In actual riding scenarios, some users lack safety awareness and frequently engage in dangerous behaviors such as single-handed control, making phone calls while riding, and loosely gripping the handlebars. These dangerous behaviors not only put the cyclists themselves in a highly dangerous situation, seriously threatening their lives, but also pose potential safety hazards to other road users, such as pedestrians and motorists, disrupting normal traffic order. Currently, there is no effective control over these dangerous riding behaviors, making it impossible to ensure cycling safety and restore normal traffic order. Summary of the Invention

[0004] The present invention provides a riding control method, device, system, electronic device and storage medium to solve the problem in the prior art that various dangerous riding behaviors are prone to occur during the riding of electric vehicles, thereby threatening the life safety of riders and other road users and affecting normal traffic order. By monitoring the vehicle riding process, effective control of dangerous riding behaviors during the riding process is achieved, thereby ensuring riding safety.

[0005] The present invention provides a riding control method, comprising: Obtaining grip force data during vehicle riding; Performing a grip force test based on the handlebar force data to obtain a grip force test result; the grip force test result includes at least one of a grip force magnitude, a duration, and a grip force comparison of both sides of the handlebar of the vehicle; The vehicle riding is controlled based on the grip strength detection result.

[0006] According to a riding control method provided by the present invention, controlling the riding of the vehicle based on the grip strength detection result includes: Acquiring multiple consecutive frames of user facial images during the vehicle riding process; Performing blink detection based on the multiple consecutive frames of user facial images to obtain a blink detection result; The vehicle riding is controlled based on the blink detection result and the grip strength detection result.

[0007] According to a riding control method provided by the present invention, controlling the riding of the vehicle based on the blink detection result and the grip strength detection result includes: Performing cycling concentration recognition and / or cycling fatigue detection based on the blink detection result and the grip strength detection result to obtain a concentration recognition result and / or a fatigue detection result; The vehicle riding is controlled based on the concentration recognition result and / or the fatigue detection result.

[0008] According to a riding control method provided by the present invention, controlling the riding of the vehicle based on the grip strength detection result includes: Control the playback of riding safety tips when at least one of the grip force comparison indicates that grip force is detected at only one side of the handlebar during vehicle riding, the grip force magnitude represents that the grip force value at at least one side of the handlebar is less than the first grip force threshold, and the duration reflects that the duration of the grip force at at least one side of the handlebar is shorter than the first duration threshold.

[0009] According to a riding control method provided by the present invention, the controlling and playing of riding safety tips further includes: The vehicle is controlled to slow down when at least one of the following conditions occurs: no grip force is detected at the handlebars on both sides within a preset time period; the grip force value detected at at least one side of the handlebars within the preset time period is less than a first grip force threshold; and the duration of grip force detected at at least one side of the handlebars within the preset time period is shorter than a first duration threshold.

[0010] According to a riding control method provided by the present invention, the vehicle grip force data is collected based on a grip force sensor; the grip force sensor is installed on both sides of the vehicle handlebar; At least one of the shape, size, model, linearity and accuracy of the grip force sensor is determined based on the vehicle model of the vehicle.

[0011] The present invention also provides a riding control device, comprising: An acquisition unit, used to acquire the grip force data of the vehicle during riding; a detection unit, configured to perform grip force detection based on the handlebar force data to obtain a grip force detection result; the grip force detection result includes at least one of a grip force magnitude, a duration, and a grip force comparison of both sides of the handlebar of the vehicle; A control unit is used to control the riding of the vehicle based on the grip strength detection result.

[0012] The present invention also provides a riding control system, comprising a grip force sensor, an image acquisition device and a processor; The processor is used to obtain the handlebar force data collected by the grip sensor during vehicle riding, and multiple consecutive frames of user facial images collected by the image acquisition device during vehicle riding, and perform grip detection based on the handlebar force data to obtain a grip detection result, and perform blink detection based on the multiple consecutive frames of user facial images to obtain a blink detection result; based on the grip force detection result and the blink detection result, control the vehicle riding; the grip force detection result includes at least one of the grip force size, duration and grip force comparison on both sides of the vehicle's handlebars.

[0013] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, wherein when the processor executes the computer program, any of the riding control methods described above is implemented.

[0014] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which implements any of the riding control methods described above when executed by a processor.

[0015] The riding control method, device, system, electronic device and storage medium provided by the present invention perform grip force detection based on the handlebar force data during vehicle riding to obtain a grip force detection result; the grip force detection result includes at least one of the grip force size, duration and grip force comparison on both sides of the vehicle's handlebars; based on the grip force detection result, the vehicle riding is controlled, overcoming the various dangerous riding behaviors that are prone to occur during the current electric vehicle riding process, thereby threatening the life safety of riders and other road users and affecting the normal traffic order. By monitoring the vehicle riding process, effective control of dangerous riding behaviors during vehicle riding can be achieved, the user's riding behavior can be standardized, and riding chaos can be controlled, thereby reducing the incidence of traffic accidents, ensuring riding safety, reducing operating costs and accident handling pressure, optimizing user experience, and at the same time enhancing user trust in shared electric vehicle services. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the present invention or the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0017] Figure 1 It is a flow chart of the riding control method provided by the present invention; Figure 2 It is a structural schematic diagram of the riding control device provided by the present invention; Figure 3 It is a structural diagram of the riding control system provided by the present invention; Figure 4 It is a structural schematic diagram of the electronic device provided by the present invention.

[0018] Reference numerals: 310: grip force sensor; 320: image acquisition device; 330: processor. DETAILED DESCRIPTION

[0019] To make the objectives, technical solutions, and advantages of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0020] Shared electric vehicles, a rising force in urban green mobility, have rapidly gained a foothold in urban transportation with their significant advantages, such as convenience and environmental friendliness. The number of users continues to grow. However, amidst the rapid adoption of shared electric vehicles, irregular riding practices have become a significant constraint on their further development. In actual riding scenarios, some users lack safety awareness and frequently engage in dangerous behaviors such as controlling the vehicle with one hand, making phone calls while riding, and even loosely gripping the handlebars. These behaviors seriously violate safe riding practices and significantly increase the uncertainty of the riding process.

[0021] Controlling a vehicle with one hand can disrupt a rider's balance, making it difficult for them to quickly and effectively control the vehicle in the event of an emergency. Making or receiving phone calls while riding can distract the rider, reducing their ability to observe and judge road conditions. And loosely gripping the handlebars can make it difficult to maintain stable control, making it easy to lose control in an emergency. These dangerous riding behaviors not only put the rider in a highly dangerous situation, seriously threatening their lives, but also pose potential safety hazards to other road users, such as pedestrians and motorists, and disrupt normal traffic order.

[0022] In the long run, if this type of dangerous riding behavior is not effectively curbed, it will lead to frequent traffic accidents. The increase in traffic accidents will not only place a heavy operational burden on vehicle operators, including vehicle maintenance and compensation for casualties, but will also increase the pressure to handle the incidents. More seriously, frequent traffic accidents will undermine user trust in shared electric vehicle services and reduce their willingness to use them, which will have long-term consequences.

[0023] To this end, the present invention provides a riding control method, which aims to safely manage the user's riding behavior during vehicle riding, so as to standardize the user's riding behavior, ensure riding safety, reduce the incidence of traffic accidents, reduce operating costs and accident handling pressure, optimize the user's usage experience, and enhance the user's trust in shared electric vehicle services.

[0024] Figure 1 : is a flow chart of the riding control method provided by the present invention, such as Figure 1 As shown, the execution subject of the method can be a vehicle, specifically a central processing unit of the vehicle, or a management platform of the vehicle, which is not specifically limited in the embodiment of the present invention. The method includes: Step 110, obtaining the grip force data during the riding process of the vehicle; Step 120: performing a grip force test based on the vehicle handlebar force data to obtain a grip force test result; the grip force test result includes at least one of a grip force magnitude, a duration, and a grip force comparison of both sides of the vehicle handlebar; Step 130: Control the vehicle riding based on the grip strength detection result.

[0025] Specifically, considering that during the current riding of shared electric vehicles, riders (users) frequently engage in dangerous riding behaviors, such dangerous riding behaviors will pose a serious threat to the lives of users and other road users. Currently, there is a lack of measures to control such dangerous riding behaviors. Once such behaviors are not curbed, they will bring serious consequences to all parties, such as frequent traffic accidents, causing personal injuries to users, bringing accident handling pressure to traffic management departments, and bringing heavy operational burdens to the platform. In view of this, in an embodiment of the present invention, it is proposed that the vehicle riding process can be monitored to effectively detect the user's dangerous riding behavior during the vehicle riding process, and to control it in a timely manner to standardize riding chaos and ensure riding safety, thereby effectively reducing the accident rate and optimizing the user experience.

[0026] Specifically, in actual application, before performing riding safety control on a vehicle, it is also necessary to determine the controlled vehicle and the relevant riding data of the vehicle. Here, the controlled vehicles can be all vehicles directly managed by the operator's management platform, for example, all vehicles within its jurisdiction, or all vehicles that the operator can directly connect to and control, or some of them. This embodiment of the present invention does not specifically limit this. Here, the controlled vehicles must be electric vehicles, specifically shared electric vehicles.

[0027] After determining the vehicles that need to be controlled, targeted riding safety control can be carried out. Specifically, when confirming that the vehicle is unlocked and a user uses it and starts riding, the user's vehicle riding process can be monitored to collect data during the vehicle riding process, thereby facilitating the judgment of dangerous riding behavior and thus contributing to safety control.

[0028] Specifically, here, the grip force data during the vehicle riding process can be obtained first, because the grip force data can more directly reflect the user's grasp and control of the handlebars during the riding process. Therefore, the grip force data on both sides of the vehicle handlebars, i.e., the handlebar force data, can be obtained first. The handlebar force data here can be collected by a pressure sensor, especially a grip force sensor among the pressure sensors. For example, during the vehicle riding process, the grip force sensor installed on the handlebar can collect the strength, duration, direction of force application, center of gravity, etc. of the user's hand holding the handlebar, thereby obtaining complete grip force data.

[0029] Furthermore, based on this handlebar force data, a test can be performed to detect whether the user has engaged in irregular or dangerous riding behaviors during the vehicle riding process; that is, a grip test is performed based on the handlebar force data to detect the grip conditions on both sides of the vehicle's handlebars, such as the grip comparison on both sides (whether there is grip on both sides of the handlebars, how long the grip exists, etc.), the size of the grip, the duration of the grip, etc., so as to obtain a grip test result. The grip test result here includes any one or more of the grip size, duration, and grip comparison on both sides of the vehicle's handlebars. Based on this, it is possible to accurately identify whether the user has engaged in single-handed grip, loose grip on the handlebars, or spaced grip during the vehicle riding process, thereby achieving accurate identification of dangerous riding behaviors during the riding process, and further providing a basis for riding safety management and control to ensure riding safety.

[0030] After this, the user's riding process can be accurately and effectively controlled based on the grip strength test results. Specifically, the grip strength test results can be used as a basis for analysis to determine whether the user has engaged in dangerous riding behavior, such as gripping the handlebars with one hand or holding the handlebars loosely. Based on the analysis and judgment, the user's riding process can be controlled accordingly. For example, if it is determined that the user has engaged in dangerous riding behavior, the vehicle's voice playback device can be controlled to play a corresponding prompt (such as a buzzer warning, a voice prompt such as "Please note that your current riding behavior is dangerous. Please correct it immediately and drive safely"), or the vehicle's indicator lights can be controlled to display warning messages (such as flashing a bright light or having the indicator light stay on). The vehicle can also be controlled to slow down or even stop, or even play a voice prompt while reducing the speed in steps, providing multiple ways to remind the user. This is not specifically limited in the embodiments of the present invention.

[0031] For another example, when it is determined that the user has not yet engaged in dangerous riding behavior, the vehicle riding process may not be restricted temporarily, and monitoring may be continued until it is detected that the user has engaged in dangerous riding behavior, and then safety control may be implemented.

[0032] For another example, when it is determined that the user has engaged in serious dangerous riding behavior, such as not only holding the handlebar with one hand, but also holding only one side or holding the handlebar loosely, the vehicle can be directly controlled to slow down to a stop to ensure riding safety and avoid traffic accidents.

[0033] The riding control method provided by the present invention obtains handlebar force data during vehicle riding, performs grip force detection based on the handlebar force data, and obtains a grip force detection result; the grip force detection result includes at least one of the grip force size, duration and grip force comparison on both sides of the vehicle's handlebars; based on the grip force detection result, the vehicle riding is controlled, which overcomes the various dangerous riding behaviors that are prone to occur during the current electric vehicle riding process, thereby threatening the life safety of riders and other road users and affecting the normal traffic order. By monitoring the vehicle riding process, effective control of dangerous riding behaviors during vehicle riding can be achieved, the user's riding behavior can be standardized, and riding chaos can be controlled, thereby reducing the incidence of traffic accidents, ensuring riding safety, reducing operating costs and accident handling pressure, optimizing user experience, and at the same time enhancing user trust in shared electric vehicle services.

[0034] Based on the above embodiment, step 120 includes: Acquire multiple consecutive frames of user facial images during vehicle riding; Perform blink detection based on multiple consecutive frames of user facial images to obtain blink detection results; Control vehicle riding based on blink detection results and grip strength detection results.

[0035] Specifically, in step 120, the process of controlling the vehicle riding according to the grip strength detection result includes the following steps: Taking into account the problem that detection and judgment based solely on vehicle grip pressure data may lead to incomplete identification of dangerous riding behaviors, for example, the user may feel sleepy or fall asleep during riding, and the dangerous behaviors may not be accurately identified through vehicle grip pressure data. Therefore, in an embodiment of the present invention, in order to ensure comprehensive and accurate riding safety management and control, and to avoid dangerous riding behaviors from multiple angles and directions, it is proposed to integrate vehicle grip pressure data and user facial images for management and control.

[0036] In detail, when performing riding safety management and control, it is also possible to obtain continuous facial images of users during vehicle riding; that is, continuous image acquisition can be performed during vehicle riding to acquire multiple frames of images containing the user's facial area, thereby obtaining continuous multiple frames of user facial images. Here, it should be noted that the user's facial image can be directly captured by the image acquisition device on the vehicle, or it can be obtained by performing image cropping, target recognition, contour extraction, etc. on the captured image containing the facial area. The embodiment of the present invention does not make specific limitations on this. Moreover, the continuous multiple frames can be continuous in number, such as images captured three times in a short period of time, or continuous in time, such as multiple images with the same time interval extracted from multiple frames of images captured once. The embodiment of the present invention does not make specific limitations on this.

[0037] After obtaining the user's facial image, embodiments of the present invention can perform a detection based on this image to detect whether there are safety hazards during the user's riding process. Specifically, blink detection can be performed during the riding process based on multiple consecutive frames of user facial images to detect the user's eye blinking during the riding process, such as whether there is blinking, the frequency of blinking, the time interval between blinks, etc., thereby obtaining the user's blink detection results. The blink detection results here can also reflect whether the user has engaged in dangerous driving behaviors such as dozing off, driving while fatigued, and inattention during the riding process.

[0038] After that, the blink detection results and the grip strength detection results can be combined to carry out riding safety management and control to better ensure the riding safety of the user. Here, specifically, based on the grip strength detection results, the blink detection results obtained by blink detection can be combined to comprehensively analyze and judge whether the user has any dangerous riding behavior during the vehicle riding process, and if there are any dangerous riding behaviors, what are the specific dangerous riding behaviors, the hazard level of various dangerous riding behaviors, etc., so as to control the user's riding process accordingly based on the results of this analysis and judgment. For example, when it is determined that the user has engaged in the dangerous riding behavior of holding the handlebars with one hand, the voice playback device on the vehicle can be controlled to play the corresponding prompt information, or the indicator light on the vehicle can be controlled to display a warning message. For another example, when it is determined that the user has engaged in the dangerous riding behavior of holding the handlebars with one hand and driving while fatigued, the vehicle can be controlled to slow down until it stops.

[0039] Based on the above embodiment, controlling vehicle riding based on blink detection results and grip strength detection results includes: Performing cycling concentration recognition and / or cycling fatigue detection based on the blink detection results and the grip strength detection results to obtain a concentration recognition result and / or a fatigue detection result; Control vehicle riding based on the concentration recognition result and / or fatigue detection result.

[0040] Specifically, the process of controlling the vehicle riding according to the blink detection result and the grip strength detection result may include: First, analysis can be performed based on the blink detection results obtained by the blink detection and the grip detection results obtained by the grip detection to determine the user's concentration and / or fatigue during vehicle riding, thereby obtaining concentration recognition results and / or fatigue detection results. Here, specifically, the grip force applied by the user at the handlebars during vehicle riding, as reflected by the grip detection results, the duration of the grip, etc., and the blink frequency and time interval of the user during vehicle riding, as represented by the blink detection results, can be used to perform identification and detection at the riding concentration level and / or riding fatigue level to identify whether the user is focused on riding, their concentration, etc., and / or whether there is fatigue driving, the degree of fatigue, etc., thereby obtaining the user's concentration recognition result and / or fatigue detection result.

[0041] The vehicle's riding can then be controlled based on the concentration recognition results and / or fatigue detection results. Specifically, the user's riding safety is managed based on the user's concentration during riding (e.g., whether they are focused and attentive), as determined by concentration recognition, and / or their fatigue status (e.g., whether they are driving fatigued and the degree of fatigue), as determined by fatigue detection.

[0042] For example, when the concentration recognition result reflects that the user's current riding attention is not fully focused, the concentration is average, and / or the fatigue detection result reflects that the user is currently riding with slight fatigue, the voice playback device on the vehicle can be controlled to play the corresponding prompt information, or the indicator light on the vehicle can be controlled to display a warning message.

[0043] For another example, when the concentration recognition result reflects that the user is not paying attention or has low concentration during the current riding, and / or the fatigue detection result reflects that the user is moderately tired during the current riding, the voice playback device on the vehicle can be controlled to play the corresponding prompt information or the indicator light on the vehicle can be controlled to display a warning message, while the vehicle can be controlled to slow down.

[0044] For another example, when the concentration recognition result reflects that the user is not paying attention during the current riding and has extremely low concentration, and / or the fatigue detection result reflects that the user is severely fatigued during the current riding, the vehicle can be controlled to slow down until it stops to ensure the user's personal safety.

[0045] In an embodiment of the present invention, the user's blinking and gripping conditions over a period of time during riding are detected to analyze the user's riding concentration and / or riding fatigue, thereby performing vehicle riding safety management and control. It is possible to accurately judge various behaviors that pose a threat to riding safety during riding, thereby allowing timely intervention to ensure riding safety.

[0046] Based on the above embodiment, step 130 includes: Control the playback of riding safety tips when the grip strength comparison indicates that grip strength is detected only on one side of the handlebar during vehicle riding, the grip strength magnitude represents that the grip strength value on at least one side of the handlebar is less than the first grip strength threshold, and the duration reflects that the duration of the grip strength on at least one side of the handlebar is shorter than the first duration threshold.

[0047] Specifically, the process of controlling the riding of the vehicle according to the grip strength detection result may include the following situations: If the grip strength comparison indicates that grip strength is detected on only one handlebar during riding, that is, the user is gripping the handlebar with one hand, the vehicle's voice playback device can be controlled to play a riding safety reminder during riding. The specific content of the reminder can be selected according to the actual situation.

[0048] It is worth noting that in addition to the case of one-handed grip, if the grip strength comparison shows that the grip strength on both sides of the handlebars does not overlap, that is, when the user alternates gripping the handlebars during riding, the voice playback device on the vehicle can also be controlled to play riding safety tips.

[0049] When the grip strength value on at least one handlebar side, as indicated by the grip strength, is less than a first grip strength threshold, i.e., when the user is loosely gripping the handlebars during riding, the vehicle's voice playback device can be controlled to play a cycling safety reminder while the user is riding. The first grip strength threshold can be set based on actual conditions, such as 10N; the specific content of the cycling safety reminder can also be selected based on actual conditions.

[0050] In addition, if the difference in grip strength between the two handlebars is large and exceeds the pre-set grip strength threshold, it is also judged that an abnormality exists and a riding safety reminder can be played.

[0051] When the duration of grip force on at least one handlebar on one side is shorter than at least one of the first duration thresholds, i.e., when the user intermittently grips the handlebars during riding, the vehicle's voice playback device can be controlled to play a cycling safety reminder during riding. The first duration threshold can be set based on actual conditions, such as 15 seconds; the specific content of the cycling safety reminder can also be selected based on actual conditions.

[0052] Based on the above embodiment, controlling the playback of the riding safety prompt further includes: The vehicle is controlled to slow down when at least one of the following conditions occurs: no grip force is detected at the handlebars on both sides within a preset time period; the grip force value detected at at least one side of the handlebars within a preset time period is less than a first grip force threshold; and the duration of grip force detected at at least one side of the handlebars within a preset time period is shorter than a first duration threshold.

[0053] Specifically, after a cycling safety reminder is triggered, cycling monitoring can be continued to obtain subsequent grip strength data and perform grip strength testing, thereby facilitating further cycling safety management. Specifically, after controlling the playback of the cycling safety reminder, grip strength data transmitted by the grip force sensor every few seconds, such as every three seconds, can be received. Here, the grip force sensor can collect grip strength data in real time, but transmits it every three seconds. Then, grip strength testing can be performed based on the received grip strength data.

[0054] Furthermore, if grip force cannot be detected at the handlebars on both sides within the preset period, such as grip force detection within 30 seconds cannot detect grip force at the handlebars on both sides, the grip force value detected at at least one side of the handlebar within the preset period is less than the first grip force threshold, such as grip force detection within 30 seconds still detects grip force value at one or both sides of the handlebar is less than 10N, the duration of grip force detected at at least one side of the handlebar within the preset time is shorter than the first duration threshold, such as grip force detection within 30 seconds still detects grip force at one or both sides of the handlebar is shorter than 15 seconds, at least one of the above three situations occurs, the vehicle can be controlled to lower.

[0055] It's important to note that the safety reminders continue to play during the vehicle deceleration process. Furthermore, to ensure safety, the acceleration function can be limited during deceleration, and a stepped deceleration mode can be used. This involves first slowing the vehicle down to a certain speed level, then continuing to slow down after a few seconds to the next level, and repeating this process until the speed reaches zero and the vehicle stops.

[0056] It's also worth noting that grip force detection continues during vehicle deceleration. If grip force is detected on both handlebars during deceleration, and the grip force values ​​on both handlebars are greater than or equal to the first grip force threshold, and the duration of grip force on both handlebars exceeds a first preset duration, deceleration can be stopped, acceleration restrictions are lifted, and the riding safety reminder stops playing. Otherwise, once the vehicle's speed drops to 0, the user will need to manually restart, such as through the app or mini-program provided by the management platform, before riding can resume.

[0057] In the embodiment of the present invention, the graded intervention measures of first reminding and then slowing down have obvious benefits in multiple dimensions: for users, it can not only enhance safety awareness, reduce dangerous behaviors, and reduce accident risks to ensure cycling safety through instant voice feedback, but also avoid resistance and provide a buffer period for behavior correction in a humane way, thereby improving the cycling experience; from the platform perspective, this intervention method can better intervene in cycling risks and reduce accident handling costs. At the same time, based on the accumulation and analysis of cycling data, it can continuously optimize management and control strategies and improve the level of management intelligence; and at the social level, this graded intervention method can reduce cycling safety accidents, maintain normal traffic order, and promote overall traffic safety.

[0058] Based on the above embodiment, the grip force data of the vehicle is collected based on the grip force sensor; the grip force sensor is installed on the handlebars on both sides of the vehicle; At least one of the shape, size, model, linearity and accuracy of the grip force sensor is determined based on the vehicle model of the vehicle.

[0059] Specifically, the grip force data during vehicle riding can be collected by grip force sensors installed on the handlebars on both sides of the vehicle.

[0060] For a specific vehicle, the grip force sensor it is equipped with can be determined according to its vehicle model, that is, based on the vehicle model, any one or more of the shape, size, model, linearity and accuracy of the grip force sensor that needs to be installed on the vehicle can be determined. Such a "one-to-one" matching method can make the grip force sensor more compatible with the vehicle, so that the grip force data can be collected more accurately during riding, thereby providing assistance for riding safety management and control, and helping to ensure riding safety.

[0061] The overall process of the riding control method provided by the present invention includes the following steps: First, grip force data is obtained during the riding process. The grip force data is collected using grip force sensors installed on both sides of the vehicle's handlebars. At least one of the grip force sensors' shape, size, model, linearity, and accuracy is determined based on the vehicle's model.

[0062] Next, a grip strength test is performed based on the vehicle handlebar strength data to obtain a grip strength test result; the grip strength test result includes at least one of the grip strength magnitude, duration, and grip strength comparison of both sides of the vehicle handlebar.

[0063] Then, based on the grip strength detection result, the vehicle riding is controlled.

[0064] Among them, based on the grip strength detection result, the vehicle riding is controlled, including: when the grip strength comparison indicates that grip strength is detected only at one side of the handlebar during vehicle riding, the grip strength magnitude represents that the grip strength value at at least one side of the handlebar is less than the first grip strength threshold, and the duration reflects that the duration of the grip strength at at least one side of the handlebar is shorter than the first duration threshold, at least one of the following conditions is controlled to play a riding safety prompt.

[0065] Furthermore, controlling the playback of riding safety tips also includes: controlling the vehicle to slow down when at least one of the following conditions is met: no grip is detected at the handlebars on both sides within a preset period of time; the grip value at at least one side of the handlebar is detected to be less than a first grip threshold value within a preset period of time; and the duration of grip at at least one side of the handlebar is detected to be shorter than a first duration threshold value within a preset period of time.

[0066] Among them, controlling vehicle riding based on the grip strength detection result includes: obtaining multiple consecutive frames of user facial images during vehicle riding; performing blink detection based on the multiple consecutive frames of user facial images to obtain blink detection results; performing riding concentration recognition and / or riding fatigue detection based on the blink detection results and the grip strength detection results to obtain concentration recognition results and / or fatigue detection results; controlling vehicle riding based on the concentration recognition results and / or fatigue detection results.

[0067] The method provided by the embodiment of the present invention obtains the handlebar force data during vehicle riding, performs grip force detection based on the handlebar force data, and obtains the grip force detection result; the grip force detection result includes at least one of the grip force size, duration and grip force comparison on both sides of the vehicle's handlebars; based on the grip force detection result, the vehicle riding is controlled, which overcomes the various dangerous riding behaviors that are prone to occur during the current electric vehicle riding process, thereby threatening the life safety of riders and other road users and affecting the normal traffic order. By monitoring the vehicle riding process, effective control of dangerous riding behaviors during vehicle riding can be achieved, the user's riding behavior can be standardized, and riding chaos can be controlled, thereby reducing the incidence of traffic accidents, ensuring riding safety, reducing operating costs and accident handling pressure, optimizing user experience, and at the same time enhancing user trust in shared electric vehicle services.

[0068] The riding control device provided by the present invention is described below. The riding control device described below and the riding control method described above can be referenced to each other.

[0069] Figure 2 Schematic diagram of the structure of the riding control device provided by the present invention. Figure 2 As shown, the device includes: An acquisition unit 210 is used to acquire the grip force data during the riding process of the vehicle; a detection unit 220 configured to perform a grip force detection based on the handlebar force data to obtain a grip force detection result; the grip force detection result includes at least one of a grip force magnitude, a duration, and a grip force comparison of both sides of the handlebar of the vehicle; The control unit 230 is configured to control the vehicle riding based on the grip strength detection result.

[0070] The riding control device provided by the present invention obtains handlebar force data during vehicle riding, performs grip force detection based on the handlebar force data, and obtains a grip force detection result; the grip force detection result includes at least one of the grip force size, duration and grip force comparison on both sides of the vehicle's handlebars; based on the grip force detection result, the vehicle riding is controlled, which overcomes the various dangerous riding behaviors that are prone to occur during the current electric vehicle riding process, thereby threatening the life safety of riders and other road users and affecting the normal traffic order. By monitoring the vehicle riding process, effective control of dangerous riding behaviors during vehicle riding can be achieved, the user's riding behavior can be standardized, and riding chaos can be controlled, thereby reducing the incidence of traffic accidents, ensuring riding safety, reducing operating costs and accident handling pressure, optimizing user experience, and at the same time enhancing user trust in shared electric vehicle services.

[0071] Based on the above embodiment, the detection unit 220 is used to: Acquiring multiple consecutive frames of user facial images during the vehicle riding process; Performing blink detection based on the multiple consecutive frames of user facial images to obtain a blink detection result; The vehicle riding is controlled based on the blink detection result and the grip strength detection result.

[0072] Based on the above embodiment, the detection unit 220 is used to: Performing cycling concentration recognition and / or cycling fatigue detection based on the blink detection result and the grip strength detection result to obtain a concentration recognition result and / or a fatigue detection result; The vehicle riding is controlled based on the concentration recognition result and / or the fatigue detection result.

[0073] Based on the above embodiment, the control unit 230 is configured to: Control the playback of riding safety tips when at least one of the grip force comparison indicates that grip force is detected at only one side of the handlebar during vehicle riding, the grip force magnitude represents that the grip force value at at least one side of the handlebar is less than the first grip force threshold, and the duration reflects that the duration of the grip force at at least one side of the handlebar is shorter than the first duration threshold.

[0074] Based on the above embodiment, the control unit 230 is further configured to: The vehicle is controlled to slow down when at least one of the following conditions occurs: no grip force is detected at the handlebars on both sides within a preset time period; the grip force value detected at at least one side of the handlebars within the preset time period is less than a first grip force threshold; and the duration of grip force detected at at least one side of the handlebars within the preset time period is shorter than a first duration threshold.

[0075] Based on the above embodiment, the handlebar force data is collected based on a grip force sensor; the grip force sensor is installed on both sides of the handlebar of the vehicle; At least one of the shape, size, model, linearity and accuracy of the grip force sensor is determined based on the vehicle model of the vehicle.

[0076] Figure 3 This is a schematic diagram of the structure of the riding control system provided by the present invention. Figure 3 As shown, the system includes a grip sensor 310, an image acquisition device 320 and a processor 330; The processor 330 is configured to obtain the grip force data collected by the grip force sensor 310 during the vehicle riding process, and the multiple frames of user facial images collected by the image acquisition device 320 during the vehicle riding process, and perform grip force detection based on the grip force data to obtain a grip force detection result, and perform blink detection based on the multiple frames of user facial images to obtain a blink detection result; and control the vehicle riding based on the grip force detection result and the blink detection result; The grip strength detection result includes at least one of the grip strength magnitude, duration, and grip strength comparison of both sides of the handlebars of the vehicle.

[0077] The riding control system provided by the present invention includes a grip sensor, an image acquisition device and a processor; the processor is used to obtain handlebar grip data collected by the grip sensor during vehicle riding, and multiple frames of user facial images collected by the image acquisition device during vehicle riding, perform grip detection based on the grip data to obtain grip detection results, and perform blink detection based on multiple frames of user facial images to obtain blink detection results; control vehicle riding based on the grip detection results and the blink detection results; the grip detection results include at least one of the grip size, duration and grip comparison of both sides of the vehicle's handlebars; it overcomes the defects of various dangerous riding behaviors that are prone to occur during electric vehicle riding, thereby threatening the life safety of riders and other road users and affecting normal traffic order. By monitoring the vehicle riding process, it can achieve effective control of dangerous riding behaviors during vehicle riding, standardize user riding behaviors, and control riding chaos, thereby reducing the incidence of traffic accidents, ensuring riding safety, reducing operating costs and accident handling pressure, optimizing user experience, and enhancing user trust in shared electric vehicle services.

[0078] Figure 4 An example of a physical structure diagram of an electronic device is shown below. Figure 4 As shown, the electronic device may include: a processor 410, a communications interface 420, a memory 430, and a communications bus 440. The processor 410, communications interface 420, and memory 430 communicate with each other via the communications bus 440. The processor 410 may invoke logic instructions in the memory 430 to execute a riding control method, which includes: obtaining handlebar force data during vehicle riding; performing grip force detection based on the handlebar force data to obtain a grip force detection result; the grip force detection result includes at least one of the grip force magnitude, duration, and grip force comparison on both sides of the vehicle's handlebars; and controlling the vehicle's riding based on the grip force detection result.

[0079] Furthermore, the logic instructions in the aforementioned memory 430 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product, stored in a storage medium, includes instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, a mobile hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0080] On the other hand, the present invention also provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium, and the computer program includes program instructions. When the program instructions are executed by a computer, the computer can execute the riding control method provided by the above-mentioned methods, which includes: obtaining handlebar force data during vehicle riding; performing grip force detection based on the handlebar force data to obtain a grip force detection result; the grip force detection result includes at least one of the grip force size, duration and grip force comparison on both sides of the handlebar of the vehicle; and controlling the riding of the vehicle based on the grip force detection result.

[0081] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, it is implemented to execute the riding control method provided by the above-mentioned methods, the method including: obtaining handlebar force data during vehicle riding; performing grip force detection based on the handlebar force data to obtain a grip force detection result; the grip force detection result includes at least one of the grip force size, duration and grip force comparison on both sides of the handlebar of the vehicle; and controlling the riding of the vehicle based on the grip force detection result.

[0082] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., they may be located in one location or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Persons of ordinary skill in the art will be able to understand and implement the present invention without inventive effort.

[0083] Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented using software plus a necessary general-purpose hardware platform, or of course, hardware. Based on this understanding, the essence of the above technical solution, or the portion that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, or an optical disk, and includes a number of instructions for causing a computer device (such as a personal computer, server, or network device) to execute the methods described in each embodiment or certain portions of the embodiments.

[0084] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A riding control method, characterized in that: include: Obtaining grip force data during vehicle riding; Performing grip strength detection based on the vehicle grip strength data to obtain a grip strength detection result; The grip strength detection result includes at least one of the grip strength magnitude, duration, and grip strength comparison of both sides of the handlebars of the vehicle; The vehicle riding is controlled based on the grip strength detection result.

2. The riding control method according to claim 1, characterized in that: The controlling the riding of the vehicle based on the grip strength detection result includes: Acquiring multiple consecutive frames of user facial images during the vehicle riding process; Performing blink detection based on the multiple consecutive frames of user facial images to obtain a blink detection result; The vehicle riding is controlled based on the blink detection result and the grip strength detection result.

3. The riding control method according to claim 2, characterized in that: The controlling the vehicle riding based on the blink detection result and the grip strength detection result includes: Performing cycling concentration recognition and / or cycling fatigue detection based on the blink detection result and the grip strength detection result to obtain a concentration recognition result and / or a fatigue detection result; The vehicle riding is controlled based on the concentration recognition result and / or the fatigue detection result.

4. The riding control method according to any one of claims 1 to 3, characterized in that: The controlling the riding of the vehicle based on the grip strength detection result includes: Control the playback of riding safety tips when at least one of the grip force comparison indicates that grip force is detected at only one side of the handlebar during vehicle riding, the grip force magnitude represents that the grip force value at at least one side of the handlebar is less than the first grip force threshold, and the duration reflects that the duration of the grip force at at least one side of the handlebar is shorter than the first duration threshold.

5. The riding control method according to claim 4, characterized in that: The control plays a riding safety tip, and then also includes: The vehicle is controlled to slow down when at least one of the following conditions occurs: no grip force is detected at the handlebars on both sides within a preset time period; the grip force value detected at at least one side of the handlebars within the preset time period is less than a first grip force threshold; and the duration of grip force detected at at least one side of the handlebars within the preset time period is shorter than a first duration threshold.

6. The riding control method according to any one of claims 1 to 3, characterized in that: The grip force data is collected based on grip force sensors; the grip force sensors are installed on both sides of the handlebars of the vehicle; At least one of the shape, size, model, linearity and accuracy of the grip force sensor is determined based on the vehicle model of the vehicle.

7. A riding control device, characterized in that: include: An acquisition unit, used to acquire the grip force data of the vehicle during riding; a detection unit, configured to perform grip force detection based on the vehicle grip force data to obtain a grip force detection result; The grip strength detection result includes at least one of the grip strength magnitude, duration, and grip strength comparison of both sides of the handlebars of the vehicle; A control unit is used to control the riding of the vehicle based on the grip strength detection result.

8. A riding control system, characterized in that: including a grip force sensor, an image acquisition device, and a processor; The processor is configured to obtain grip force data collected by the grip force sensor during vehicle riding, and multiple consecutive frames of user facial images collected by the image acquisition device during vehicle riding, and perform grip force detection based on the grip force data to obtain a grip force detection result, and perform blink detection based on the multiple consecutive frames of user facial images to obtain a blink detection result; Based on the grip strength detection result and the blink detection result, the riding of the vehicle is controlled; the grip strength detection result includes at least one of the grip strength size, duration and grip strength comparison of both sides of the handlebars of the vehicle.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the riding control method according to any one of claims 1 to 6 is implemented.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the riding control method according to any one of claims 1 to 6 is implemented.

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