Vehicle control method, device, storage medium and vehicle

Abstract

The present disclosure relates to a vehicle control method, device, storage medium and vehicle, the method comprising: detecting a biological feature on a steering wheel during vehicle driving; and controlling the vehicle to enter an automatic driving mode when a first biological feature is detected on the steering wheel and the biological feature does not match a biological feature of a current driver. Thus, by detecting the biological feature on the steering wheel, it is determined whether the first biological feature newly added on the steering wheel is consistent with the biological feature of the current driver; and when the first biological feature is inconsistent with the biological feature of the driver, the vehicle is converted from a manual driving mode to an automatic driving mode, thereby avoiding traffic safety accidents caused by the vehicle out of control due to the seizure of the steering wheel.

Description

Technical Field

[0001] This disclosure relates to the field of autonomous driving, and more particularly to a vehicle control method, apparatus, storage medium, and vehicle. Background Technology

[0002] In related technologies, to facilitate the driver's observation of the driving environment around the vehicle, the driver's seat is generally located in an open space inside the vehicle. However, this seating arrangement increases the risk of other passengers grabbing the steering wheel, which can easily lead to irreparable damage, making vehicle driving safety an urgent issue to address. Summary of the Invention

[0003] To overcome the problems existing in related technologies, this disclosure provides a vehicle control method, device, storage medium, and vehicle;

[0004] According to a first aspect of the present disclosure, a vehicle control method is provided, comprising:

[0005] Biometrics are detected on the steering wheel while the vehicle is in motion;

[0006] If a first biometric feature is detected on the steering wheel and the first biometric feature does not match the current driver's biometric feature, the vehicle is controlled to enter autonomous driving mode.

[0007] Optionally, the step of controlling the vehicle to enter autonomous driving mode when a first biometric feature is detected on the steering wheel and the first biometric feature does not match the current driver's biometric feature includes:

[0008] If a first biometric feature is detected on the steering wheel and the first biometric feature does not match the current driver's biometric feature, the first biometric feature is compared with the biometric feature of at least one pre-stored designated person.

[0009] If the first biometric feature does not match the biometric feature of the designated person, the vehicle is controlled to enter autonomous driving mode.

[0010] Optionally, the step of controlling the vehicle to enter autonomous driving mode when a first biometric feature is detected on the steering wheel and the first biometric feature does not match the current driver's biometric feature includes:

[0011] If the presence of the first biometric feature on the steering wheel is detected and the first biometric feature does not match the current driver's biometric feature, the vehicle's driving trajectory during a first time period before the first biometric feature was detected, and the control parameters of the steering wheel during a second time period after the first biometric feature was detected are obtained.

[0012] Based on the driving trajectory and the control parameters, determine the operational intent corresponding to the first biometric feature;

[0013] If the intention to operate is determined to be a dangerous interference, the vehicle is controlled to enter the autonomous driving mode.

[0014] Optionally, determining the operational intent corresponding to the first biometric feature based on the driving trajectory and the control parameters includes:

[0015] If it is determined that the vehicle has deviated from its lane based on the driving trajectory, the deviation parameters of the vehicle are determined.

[0016] If the control parameter is determined to be used to correct the deviation parameter, the operational intent is determined to be a corrective intervention;

[0017] If it is determined that the control parameters are not used to correct the deviation parameters, the operational intent is determined to be the dangerous interference.

[0018] Optionally, the method includes:

[0019] When the intended action is to correct the vehicle's position, the vehicle is controlled to remain in manual driving mode.

[0020] Optionally, the step of controlling the vehicle to enter autonomous driving mode when a first biometric feature is detected on the steering wheel and the first biometric feature does not match the current driver's biometric feature includes:

[0021] If a first biometric feature is detected on the steering wheel and the first biometric feature does not match the current driver's biometric feature, the rotational force and / or rotational speed of the steering wheel are detected.

[0022] If the rotational force is greater than a preset force threshold and / or the rotational speed is greater than a preset rotational speed threshold, the vehicle is controlled to enter the autonomous driving mode.

[0023] Optionally, controlling the vehicle to enter autonomous driving mode includes:

[0024] Determine the current driving environment of the vehicle;

[0025] When the current driving environment meets the preset environmental conditions, the vehicle is controlled to automatically stop driving;

[0026] If the current driving environment does not meet the preset environmental conditions, the vehicle is controlled to switch from manual driving mode to automatic driving mode.

[0027] Optionally, controlling the vehicle to automatically stop driving includes:

[0028] Control the vehicle to perform emergency braking;

[0029] In response to the vehicle entering the emergency braking state, the corresponding warning sign for the vehicle is activated.

[0030] Optionally, the method includes:

[0031] If the vehicle activates the warning sign, determine the vehicle type.

[0032] If the vehicle type is a public transportation vehicle, a warning signal is sent to the terminal device based on the current location and current time.

[0033] Optionally, determining the current driving environment of the vehicle includes:

[0034] Detect whether there are obstacles within a preset distance around the vehicle;

[0035] If there are no obstacles within the preset distance, it is determined that the current driving environment meets the preset environmental conditions;

[0036] If the obstacle exists within the preset distance, it is determined that the current driving environment does not meet the preset environmental conditions.

[0037] According to a second aspect of the present disclosure, a vehicle control device is provided, comprising:

[0038] The determination module is configured to detect biometric features on the steering wheel while the vehicle is in motion;

[0039] The execution module is configured to control the vehicle to enter an autonomous driving mode when a first biometric feature is detected on the steering wheel and the first biometric feature does not match the current driver's biometric feature.

[0040] According to a third aspect of the present disclosure, a vehicle is provided, comprising:

[0041] processor;

[0042] Memory used to store processor-executable instructions;

[0043] The processor is configured as follows:

[0044] Biometrics are detected on the steering wheel while the vehicle is in motion;

[0045] If a first biometric feature is detected on the steering wheel and the biometric feature does not match the current driver's biometric feature, the vehicle is controlled to enter autonomous driving mode.

[0046] According to a fourth aspect of the present disclosure, a computer-readable storage medium is provided that stores computer program instructions thereon, which, when executed by a processor, implement the steps of the vehicle control method provided in the first aspect of the present disclosure.

[0047] The technical solutions provided by the embodiments of this disclosure may include the following beneficial effects:

[0048] The above method detects biometric features on the steering wheel while the vehicle is in motion. If a first biometric feature is detected on the steering wheel and does not match the current driver's biometric feature, the vehicle is controlled to enter autonomous driving mode. By detecting the biometric features on the steering wheel, it is determined whether the newly added first biometric feature on the steering wheel matches the current driver's biometric feature. If the first biometric feature does not match the driver's biometric feature, it is determined that another passenger is dangerously attempting to seize the steering wheel. Based on this signal, the vehicle switches from manual driving mode to autonomous driving mode, preventing traffic accidents caused by other passengers seizing the steering wheel and resulting in loss of vehicle control.

[0049] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit this disclosure. Attached Figure Description

[0050] The accompanying drawings, which are incorporated in and form a part of this specification, illustrate embodiments consistent with this disclosure and, together with the description, serve to explain the principles of this disclosure.

[0051] Figure 1 This is a flowchart illustrating a vehicle control method according to an exemplary embodiment.

[0052] Figure 2 This is a flowchart illustrating another vehicle control method according to an exemplary embodiment.

[0053] Figure 3 This is a flowchart illustrating yet another vehicle control method according to an exemplary embodiment.

[0054] Figure 4 This is a block diagram of a vehicle control device according to an exemplary embodiment.

[0055] Figure 5 This is a block diagram illustrating another vehicle control device according to an exemplary embodiment. Detailed Implementation

[0056] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numerals in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this disclosure. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this disclosure as detailed in the appended claims.

[0057] It should be noted that all actions involving the acquisition of signals, information, or data in this application are carried out in compliance with the relevant data protection laws and policies of the country where the application is located, and with the authorization granted by the owner of the relevant device.

[0058] Figure 1 This is a flowchart illustrating a vehicle control method according to an exemplary embodiment, such as... Figure 1 As shown, the control method used in the vehicle terminal includes the following steps.

[0059] In step S11, biometric features on the steering wheel are detected while the vehicle is in motion.

[0060] In step S12, if a first biometric feature is detected on the steering wheel and the first biometric feature does not match the current driver's biometric feature, the vehicle is controlled to enter the autonomous driving mode.

[0061] For example, in step S11, this embodiment primarily determines whether another passenger is attempting to seize the steering wheel by installing a biometric detection device on the vehicle's steering wheel. Typically, a vehicle's steering wheel has a wheel-like structure with a steering wheel mounted on it, allowing the driver to grip and turn it to control the vehicle's trajectory. It should be noted that this embodiment mainly assesses driving safety during vehicle operation; therefore, it is necessary to determine the vehicle's current speed to ascertain whether the vehicle is in motion, thereby determining whether to activate biometric detection on the steering wheel. It should also be noted that, to facilitate better collection of biometric data from the steering wheel, the biometric detection device can be mounted on the steering wheel corresponding to the steering wheel itself, allowing for more effective biometric data collection and analysis.

[0062] Understandably, when other passengers attempt to seize the steering wheel, they typically use their hands to grab it from the driver and turn it to alter the vehicle's trajectory. Therefore, in this embodiment, the corresponding biometric feature is the fingerprint or palm print characteristic on the palm. A detection device installed on the steering wheel surface detects the fingerprint or palm print characteristics on the steering wheel. Simultaneously, based on the uniqueness of fingerprint and / or palm print characteristics, the range of personnel capable of driving the vehicle is limited, thus improving driving safety.

[0063] For example, in step S12 of this embodiment, before the vehicle starts moving, all biometric features on the driver's hands need to be detected and stored in the memory for subsequent comparison of the driver's biometric features. When the detection device detects a new first biometric feature on the steering wheel, and this first biometric feature does not match the pre-stored driver's biometric features, the vehicle is controlled to change from the current manual driving mode to the automatic driving mode. It should be noted that the vehicle in this embodiment is equipped with an automatic driving system, which determines whether the current control mode of the vehicle is manual driving mode or automatic driving mode through condition judgment. After the vehicle enters the automatic driving mode, it no longer performs vehicle control operations based on the steering wheel, but automatically controls the vehicle's driving state (including automatic driving or stopping) and driving trajectory based on the current driving environment and vehicle driving state, until the driver uses the control button to restore the vehicle to manual driving mode, or the vehicle stops. By detecting biometric features on the steering wheel, it can determine whether there are other biometric features besides the driver, and thus determine whether other passengers are trying to seize the steering wheel. When it is determined that a passenger is trying to seize the steering wheel while the vehicle is in motion, the vehicle is decoupled from steering wheel control and enters autonomous driving mode, rendering steering wheel control ineffective, thus avoiding traffic accidents and improving vehicle driving safety.

[0064] Optionally, step S12 above includes:

[0065] If a first biometric feature is detected on the steering wheel and does not match the current driver's biometric feature, the first biometric feature is compared with the biometric feature of at least one pre-stored designated person.

[0066] If the first biometric feature does not match the biometric feature of the designated person, the vehicle will be controlled to enter autonomous driving mode.

[0067] It should be noted that when biometric features other than the driver's biometric features appear on the steering wheel during vehicle operation, these could be due to a passenger grabbing the steering wheel, resulting in a biometric verification process using the steering wheel; or they could be due to a designated person guiding the vehicle's driving, ensuring proper directional control, and thus preventing the vehicle from deviating from its intended path and avoiding potential accidents. For example, this designated person could be a route guide in public transportation or a professional driver with a special status, such as a driving instructor. Therefore, in this embodiment, based on the uniqueness of biometric features, the biometric features of designated persons are pre-stored in the corresponding storage unit. When verifying the first biometric feature, it is first matched with the current driver's biometric features. If the first biometric feature does not match the current driver's biometric features, it is then compared with the pre-stored biometric features of at least one designated person. If the first biometric feature matches the biometric feature of the at least one designated person, the vehicle remains in manual driving mode and executes the control operations corresponding to the steering wheel. If the first biometric feature does not match the biometric feature of the at least one designated person, it indicates that the identity of the person whose biometric feature is newly added to the steering wheel is neither the current driver nor the designated professional driver. It is determined that the current vehicle's control based on the steering wheel has been dangerously seized, and the vehicle switches from manual driving mode to automatic driving mode.

[0068] Figure 2 This is a flowchart illustrating another vehicle control method according to an exemplary embodiment, see [link to flowchart]. Figure 2 The above step S12 includes:

[0069] In step S121, if a first biometric feature is detected on the steering wheel and the first biometric feature does not match the current driver's biometric feature, the vehicle's driving trajectory during a first time period before the first biometric feature is detected, and the steering wheel control parameters during a second time period after the first biometric feature is detected, are obtained.

[0070] In step S122, the operational intent corresponding to the first biometric is determined based on the driving trajectory and control parameters.

[0071] In step S123, if it is determined that the intention to operate is a dangerous interference, the vehicle is controlled to enter the autonomous driving mode.

[0072] For example, in step S121, a monitoring system is installed on the vehicle in this embodiment to monitor the vehicle's movement trajectory. The monitoring camera can capture images of the surrounding environment during the vehicle's movement. By analyzing the image information, the location of the monitoring camera within the vehicle, and the camera's relevant shooting parameters, the vehicle's pose data when moving on the road is determined, thereby obtaining the vehicle's driving trajectory on the road. In this embodiment, when a first biometric feature is detected on the steering wheel, and this first biometric feature does not match the current driver's biometric feature, the monitoring system acquires the vehicle's driving trajectory within a first time period before the detection of the first biometric feature to determine the vehicle's driving state on the road at that time. It should be noted that the longer the driving trajectory within the first time period is acquired, the longer the analysis time will be. When a first biometric feature is detected on the steering wheel, for safety and timeliness considerations, the vehicle needs to respond quickly to this sudden situation to avoid dangerous accidents. Therefore, the corresponding first time period needs to be controlled within a relatively short time range. For example, the first time period can be set to 1-3 seconds before the current time, and the monitoring system can determine the vehicle's driving trajectory within 1-3 seconds before the detection of the first biometric feature.

[0073] It is understandable that during normal driving, due to the special nature of the driver's console, the driver usually has control over other control parameters. However, due to the open nature of the steering wheel, there is a risk of other passengers grabbing it. When a first biometric feature is detected on the steering wheel, and other control parameters remain within control, the control parameters of the steering wheel are then detected. It should be noted that the time range between detecting the presence of the first biometric feature on the steering wheel and the first biometric feature causing the steering wheel to deviate is relatively short. In this embodiment, the vehicle needs to respond quickly to the first biometric feature; therefore, the time for analyzing the operational intent corresponding to the first biometric feature needs to be minimized. For example, in this embodiment, the second time period is set to 0.2-0.5 seconds, and the control parameters of the steering wheel corresponding to the first biometric feature are collected within this 0.2-0.5 seconds.

[0074] For example, in step S122, the vehicle's trajectory is typically determined based on relevant control parameters, such as the steering wheel angle, accelerator pedal opening, brake pedal opening, and vehicle gear. The time interval from when the first biometric feature is detected on the steering wheel to when the steering wheel deflects based on the first biometric feature is typically an instantaneous time interval, within 1 second. During this time interval, due to the suddenness and unpredictability of the situation, the driver does not have time to respond appropriately to the sudden situation and focuses their attention on controlling the steering wheel, without making significant control responses to other parameters. Therefore, the accelerator pedal opening, brake pedal opening, and vehicle gear can be considered to remain unchanged during this instantaneous time interval. Based on other vehicle parameters at the moment the first biometric feature is detected, and the steering wheel control parameters during the second time interval after the first biometric feature is detected, the vehicle's trajectory during this time interval can be predicted. Then, based on the vehicle's trajectory during the first time interval obtained in the above steps, the operational intent corresponding to the first biometric feature is determined. Optionally, the intention of this operation can be to control dangerous interference such as collision, fall, or deviation of the vehicle, or it can be to control the vehicle to straighten and guide it back to its normal driving trajectory.

[0075] For example, in step S123, if the operational intent corresponding to the first biometric feature during the second time period is a dangerous interference, the vehicle is controlled to enter autonomous driving mode based on the current road conditions. If the operational intent corresponding to the first biometric feature is a corrective intervention, the vehicle is controlled to maintain manual driving mode and respond to the corrective intervention.

[0076] Optionally, step S122 above includes:

[0077] If the vehicle is determined to have deviated from its lane based on its driving trajectory, the vehicle's deviation parameters are determined.

[0078] Given that the control parameters are determined to be used to correct deviations, the operational intent is determined to be a corrective intervention.

[0079] If it is determined that the control parameters are not used to correct deviation parameters, the operational intent is determined to be a dangerous disturbance.

[0080] Understandably, roads typically have lane markings. By analyzing a vehicle's historical driving trajectory over a preset time period and comparing this trajectory with the lane markings on the vehicle's current route, it can be determined whether the vehicle has deviated from its lane. For example, if the analysis of the driving trajectory determines that the vehicle is traveling in the opposite lane, then the vehicle has deviated from its lane. Alternatively, if the analysis determines that the vehicle is crossing or straddling the lane lines, then the vehicle has deviated from its lane. In this embodiment, the latest national traffic regulations can be referenced to analyze the vehicle's driving trajectory to determine whether the vehicle has deviated from its lane. When lane deviation is determined based on the driving trajectory, the vehicle's deviation parameters are determined, including the deviation angle and deviation distance. These deviation parameters can be the deviation angle, deviation force, and deviation speed that require steering wheel correction to return the vehicle to the correct driving lane after lane deviation.

[0081] After obtaining the control parameters of the steering wheel related to the first biometric feature during the second time period through the above steps, the control parameters are compared with the deviation parameters to determine the operational intent corresponding to the first biometric feature. If the control parameters increase the vehicle's deviation parameters, it indicates that the control parameters are not used to correct the deviation parameters, and the operational intent corresponding to the first biometric feature is dangerous interference. If the control parameters decrease the vehicle's deviation parameters, it indicates that the control parameters can be used to correct the deviation parameters, and the operational intent corresponding to the first biometric feature is corrective intervention.

[0082] Optionally, the vehicle control method may further include:

[0083] When the intention is to intervene and straighten the vehicle, keep it in manual driving mode.

[0084] It is understandable that when a driver fails to fulfill their safe driving responsibilities due to relevant factors, causing the vehicle to deviate, other passengers, for safety reasons, need to intervene to correct the driver's control. In this embodiment, when the operation intent corresponding to the first biometric is determined to be a corrective intervention through the above steps, the vehicle is controlled to continue in manual driving mode and respond to the corrective intervention, causing the vehicle to deviate and return to the correct driving lane.

[0085] Optionally, step S12 above includes:

[0086] If a first biometric feature is detected on the steering wheel and the first biometric feature does not match the current driver's biometric feature, the steering wheel rotation force and / or rotation speed are detected.

[0087] If the rotational force exceeds a preset force threshold and / or the rotational speed exceeds a preset speed threshold, the vehicle will be controlled to enter autonomous driving mode.

[0088] Understandably, during normal driving, drivers typically make minor adjustments to the steering wheel, with relatively small turning speeds and forces. However, when a passenger grabs the steering wheel, it's usually under extreme emotional stress. In such situations, the passenger might jerk the steering wheel the moment they touch it, causing the vehicle to veer off course rapidly. Therefore, in this embodiment, when a first biometric feature is detected on the steering wheel and does not match the current driver's biometric feature, the steering force and speed generated based on the first biometric feature are detected. If the steering force exceeds a preset force threshold and / or the steering speed exceeds a preset speed threshold, the driver's control is revoked, and the vehicle is switched from manual driving mode to automatic driving mode.

[0089] Figure 3 This is a flowchart illustrating yet another vehicle control method according to an exemplary embodiment, see [link to flowchart]. Figure 3 The above step S12 includes:

[0090] In step S221, the current driving environment of the vehicle is determined.

[0091] In step S222, if the current driving environment meets the preset environmental conditions, the vehicle is controlled to automatically stop driving.

[0092] In step S223, if the current driving environment does not meet the preset environmental conditions, the vehicle is controlled to switch from manual driving mode to automatic driving mode.

[0093] Understandably, in this embodiment, when a first biometric feature is detected on the steering wheel, corresponding control operations need to be performed based on the vehicle's current driving conditions. Therefore, it is necessary to first determine the vehicle's current driving environment. For example, cameras can be placed around the vehicle to monitor the current driving environment, determining whether the vehicle is on a normal road, a highway, or a dangerous road, and making different control responses based on different road conditions. It should be noted that when a first biometric feature is detected on the steering wheel, the vehicle can be quickly shut off to reduce losses from the emergency. However, a sudden emergency stop could cause rear-end collisions for other vehicles, and emergency stops are not possible on highways or other driving sections. Therefore, in this embodiment, before controlling the vehicle to stop automatically, the current driving environment needs to be detected. When the current driving environment meets preset environmental conditions, the vehicle is controlled to automatically stop driving. For example, the preset environmental conditions could be that the vehicle is not on a highway and is in an open environment with no other vehicles within a preset range. When these preset environmental conditions are met, the vehicle is controlled to stop automatically. If the current driving environment does not meet the preset environmental conditions, the vehicle is controlled to switch from manual driving mode to automatic driving mode.

[0094] Optionally, the vehicle control method further includes:

[0095] Control the vehicle to apply emergency braking.

[0096] In response to the vehicle entering emergency braking, the corresponding warning signs on the vehicle will be activated.

[0097] Understandably, when a first biometric feature is detected on the steering wheel, and the current driving environment meets preset environmental conditions, it is necessary to control the vehicle to automatically stop driving. In this embodiment, to enable the vehicle to respond quickly, the onboard brakes are used to control the vehicle to perform emergency braking, rapidly reducing the vehicle's speed to zero. During the emergency braking process, the vehicle's warning lights are activated to alert other vehicles on the road to take evasive action and avoid damage. For example, during the automatic emergency braking process, the bidirectional flashing lights can be activated and remain flashing when the vehicle stops to warn other vehicles on the road.

[0098] Optionally, the vehicle control method may further include:

[0099] If the vehicle has its warning signs on, determine the vehicle type.

[0100] When the vehicle type is a public transportation vehicle, a warning signal is sent to the terminal device based on the current location and current time.

[0101] Understandably, in relevant scenarios, a passenger grabbing the steering wheel of a public transportation vehicle constitutes a crime. In this embodiment, when the vehicle comes to a stop due to emergency braking caused by the first biometric feature on the steering wheel, the vehicle type is determined (including: commercial vehicles, private vehicles, freight vehicles, etc.). When the vehicle type is determined to be a public transportation vehicle, a warning signal is sent to the terminal equipment of relevant personnel based on the vehicle's location information and current time information to prompt them to respond accordingly to this dangerous behavior. For example, when a passenger grabbing the steering wheel is detected on a public transportation vehicle, the vehicle first applies emergency braking based on the passenger's corresponding first biometric feature, and then sends a warning signal to the terminal equipment of the traffic management department based on the vehicle's current location information and current time information, enabling the traffic management department to quickly respond to this dangerous event and thus reduce losses.

[0102] Optionally, step S221 above includes:

[0103] Detect whether there are obstacles within a preset distance around the vehicle.

[0104] If there are no obstacles within a preset distance, the current driving environment is determined to meet the preset environmental conditions.

[0105] If there are obstacles within a preset distance, it is determined that the current driving environment does not meet the preset environmental conditions.

[0106] For example, in this embodiment, the presence of obstacles within a preset distance around the vehicle is detected to determine whether the vehicle meets the preset environmental conditions. According to relevant regulations, when a vehicle is traveling on a highway, the safe driving distance between two vehicles must be controlled at more than 50 meters to ensure that surrounding vehicles can quickly avoid accidents and prevent more serious damage. Therefore, in this embodiment, distance sensors are installed at both the front and rear ends of the vehicle to detect whether other vehicles or obstacles exist within a 50-meter range. This determines whether the current driving environment meets the preset environmental conditions. If there are no other vehicles or obstacles within a 50-meter range in front of or behind the vehicle, the vehicle meets the preset environmental conditions and emergency braking can be performed. If there are other vehicles or obstacles within a 50-meter range in front of or behind the vehicle, the vehicle does not meet the preset environmental conditions.

[0107] The above method detects biometric features on the steering wheel while the vehicle is in motion. If a first biometric feature is detected on the steering wheel and does not match the current driver's biometric feature, the vehicle is controlled to enter autonomous driving mode. By detecting the biometric features on the steering wheel, it is determined whether the newly added first biometric feature on the steering wheel matches the current driver's biometric feature. If the first biometric feature does not match the driver's biometric feature, it is determined that another passenger is dangerously attempting to seize the steering wheel. Based on this signal, the vehicle switches from manual driving mode to autonomous driving mode, preventing traffic accidents caused by other passengers seizing the steering wheel and resulting in loss of vehicle control.

[0108] Figure 4 This is a block diagram illustrating a vehicle control device according to an exemplary embodiment. (Refer to...) Figure 4 The control device 100 includes a determination module 110 and an execution module 120.

[0109] The determination module 110 is configured to detect biometric features on the steering wheel while the vehicle is in motion.

[0110] The execution module 120 is configured to control the vehicle to enter an autonomous driving mode when a first biometric feature is detected on the steering wheel and the first biometric feature does not match the current driver's biometric feature.

[0111] Optionally, the execution module 120 can also be configured as follows:

[0112] If a first biometric feature is detected on the steering wheel and does not match the current driver's biometric feature, the first biometric feature is compared with the biometric feature of at least one pre-stored designated person.

[0113] If the first biometric feature does not match the biometric feature of the designated person, the vehicle will be controlled to enter autonomous driving mode.

[0114] Optionally, the execution module 120 may further include:

[0115] The acquisition submodule is configured to acquire the vehicle's driving trajectory during a first time period before the first biometric feature is detected, and the control parameters of the steering wheel during a second time period after the first biometric feature is detected, when a first biometric feature is detected on the steering wheel and the first biometric feature does not match the current driver's biometric feature.

[0116] The first determination submodule is configured to determine the operational intent corresponding to the first biometric feature based on the driving trajectory and control parameters.

[0117] The control submodule is configured to control the vehicle to enter autonomous driving mode if the intended operation is determined to be a dangerous interference.

[0118] Optionally, the first determining submodule can also be configured as follows:

[0119] If the vehicle is determined to have deviated from its lane based on its driving trajectory, the vehicle's deviation parameters are determined.

[0120] Given that the control parameters are determined to be used to correct deviations, the operational intent is determined to be a corrective intervention.

[0121] If it is determined that the control parameters are not used to correct deviation parameters, the operational intent is determined to be a dangerous disturbance.

[0122] Optionally, the control device 100 may further include:

[0123] The control module is configured to keep the vehicle in manual driving mode when the intended action is to correct the vehicle's direction.

[0124] Optionally, the execution module 120 can also be configured as follows:

[0125] If a first biometric feature is detected on the steering wheel and the first biometric feature does not match the current driver's biometric feature, the steering wheel rotation force and / or rotation speed are detected.

[0126] If the rotational force exceeds a preset force threshold and / or the rotational speed exceeds a preset speed threshold, the vehicle will be controlled to enter autonomous driving mode.

[0127] Optionally, the execution module 120 may further include:

[0128] The second determination submodule is configured to determine the vehicle's current driving environment.

[0129] The first determination submodule is configured to control the vehicle to automatically stop driving when the current driving environment meets preset environmental conditions.

[0130] The second determination submodule is configured to control the vehicle to switch from manual driving mode to automatic driving mode when the current driving environment does not meet the preset environmental conditions.

[0131] Optionally, the first determination submodule can also be configured as follows:

[0132] Control the vehicle to apply emergency braking.

[0133] In response to the vehicle entering emergency braking, the corresponding warning signs on the vehicle will be activated.

[0134] Optionally, the control device 100 may also include a transmitting module, which is configured to:

[0135] If the vehicle has its warning signs on, determine the vehicle type.

[0136] When the vehicle type is a public transportation vehicle, a warning signal is sent to the terminal device based on the current location and current time.

[0137] Optionally, the second determining submodule can also be configured as follows:

[0138] Detect whether there are obstacles within a preset distance around the vehicle.

[0139] If there are no obstacles within a preset distance, the current driving environment is determined to meet the preset environmental conditions.

[0140] If there are obstacles within a preset distance, it is determined that the current driving environment does not meet the preset environmental conditions.

[0141] Regarding the apparatus in the above embodiments, the specific manner in which each module performs its operation has been described in detail in the embodiments related to the method, and will not be elaborated upon here.

[0142] This disclosure also provides a computer-readable storage medium having stored thereon computer program instructions that, when executed by a processor, implement the steps of the vehicle control method provided in this disclosure.

[0143] Figure 5 This is a block diagram illustrating another vehicle control device 500 according to an exemplary embodiment. For example, device 500 may be a mobile phone, computer, digital broadcasting terminal, messaging device, game console, tablet device, medical device, fitness equipment, personal digital assistant, etc.

[0144] Reference Figure 5 The device 500 may include one or more of the following components: a processing component 502, a memory 504, a power component 506, a multimedia component 508, an audio component 510, an input / output (I / O) interface 512, a sensor component 514, and a communication component 516.

[0145] Processing component 502 typically controls the overall operation of device 500, such as operations associated with display, telephone calls, data communication, camera operation, and recording. Processing component 502 may include one or more processors 520 to execute instructions to complete all or part of the steps of the methods described above. Furthermore, processing component 502 may include one or more modules to facilitate interaction between processing component 502 and other components. For example, processing component 502 may include a multimedia module to facilitate interaction between multimedia component 508 and processing component 502.

[0146] Memory 504 is configured to store various types of data to support the operation of device 500. Examples of such data include instructions for any application or method operating on device 500, contact data, phonebook data, messages, pictures, videos, etc. Memory 504 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.

[0147] The power supply component 506 provides power to the various components of the device 500. The power supply component 506 may include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power to the device 500.

[0148] Multimedia component 508 includes a screen that provides an output interface between the device 500 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touchscreen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensors may sense not only the boundaries of the touch or swipe action but also the duration and pressure associated with the touch or swipe operation. In some embodiments, multimedia component 508 includes a front-facing camera and / or a rear-facing camera. When the device 500 is in an operating mode, such as a shooting mode or a video mode, the front-facing camera and / or the rear-facing camera may receive external multimedia data. Each front-facing camera and rear-facing camera may be a fixed optical lens system or have focal length and optical zoom capabilities.

[0149] Audio component 510 is configured to output and / or input audio signals. For example, audio component 510 includes a microphone (MIC) configured to receive external audio signals when device 500 is in an operating mode, such as call mode, recording mode, and voice recognition mode. The received audio signals may be further stored in memory 504 or transmitted via communication component 516. In some embodiments, audio component 510 also includes a speaker for outputting audio signals.

[0150] I / O interface 512 provides an interface between processing component 502 and peripheral interface modules, such as keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to, home buttons, volume buttons, power buttons, and lock buttons.

[0151] Sensor assembly 514 includes one or more sensors for providing status assessments of various aspects of device 500. For example, sensor assembly 514 may detect the on / off state of device 500, the relative positioning of components such as the display and keypad of device 500, changes in the position of device 500 or a component of device 500, the presence or absence of user contact with device 500, the orientation or acceleration / deceleration of device 500, and temperature changes of device 500. Sensor assembly 514 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact. Sensor assembly 514 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, sensor assembly 514 may also include an accelerometer, a gyroscope, a magnetometer, a pressure sensor, or a temperature sensor.

[0152] Communication component 516 is configured to facilitate wired or wireless communication between device 500 and other devices. Device 500 can access wireless networks based on communication standards, such as WiFi, 2G, or 3G, or combinations thereof. In one exemplary embodiment, communication component 516 receives broadcast signals or broadcast-related information from an external broadcast management system via a broadcast channel. In one exemplary embodiment, communication component 516 also includes a near-field communication (NFC) module to facilitate short-range communication. For example, the NFC module may be implemented based on radio frequency identification (RFID) technology, Infrared Data Association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

[0153] In an exemplary embodiment, the device 500 may be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to perform the vehicle control method described above.

[0154] In an exemplary embodiment, a non-transitory computer-readable storage medium including instructions is also provided, such as a memory 504 including instructions, which can be executed by a processor 520 of the device 500 to complete the vehicle control method described above. For example, the non-transitory computer-readable storage medium may be a ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, and optical data storage device, etc.

[0155] In another exemplary embodiment, a computer program product is also provided, the computer program product comprising a computer program executable by a programmable device, the computer program having a code portion for performing the vehicle control method described above when executed by the programmable device.

[0156] Other embodiments of this disclosure will readily occur to those skilled in the art upon consideration of the specification and practice of this disclosure. This application is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this disclosure are indicated by the following claims.

[0157] It should be understood that this disclosure is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this disclosure is limited only by the appended claims.

Claims

1. A vehicle control method, characterized in that, include: Biometrics are detected on the steering wheel while the vehicle is in motion; If a first biometric feature is detected on the steering wheel, and the first biometric feature does not match the current driver's biometric feature, the vehicle is controlled to enter an autonomous driving mode, including: If the presence of the first biometric feature on the steering wheel is detected, and the first biometric feature does not match the current driver's biometric feature, the vehicle's driving trajectory during a first time period before the first biometric feature was detected, and the control parameters of the steering wheel during a second time period after the first biometric feature was detected, are obtained; based on the driving trajectory and the control parameters, the operation intention corresponding to the first biometric feature is determined; if the operation intention is determined to be a dangerous interference, the vehicle is controlled to enter the autonomous driving mode.

2. The control method according to claim 1, characterized in that, The step of controlling the vehicle to enter autonomous driving mode when a first biometric feature is detected on the steering wheel and the first biometric feature does not match the current driver's biometric feature includes: If a first biometric feature is detected on the steering wheel and the first biometric feature does not match the current driver's biometric feature, the first biometric feature is compared with the biometric feature of at least one pre-stored designated person. If the first biometric feature does not match the biometric feature of the designated person, the vehicle is controlled to enter autonomous driving mode.

3. The control method according to claim 1, characterized in that, Determining the operational intent corresponding to the first biometric feature based on the driving trajectory and the control parameters includes: If it is determined that the vehicle has deviated from its lane based on the driving trajectory, the deviation parameters of the vehicle are determined. If the control parameter is determined to be used to correct the deviation parameter, the operational intent is determined to be a corrective intervention; If it is determined that the control parameters are not used to correct the deviation parameters, the operational intent is determined to be the dangerous interference.

4. The control method according to claim 1, characterized in that, The method includes: When the intended action is to correct the vehicle's position, the vehicle is controlled to remain in manual driving mode.

5. The control method according to claim 1, characterized in that, The step of controlling the vehicle to enter autonomous driving mode when a first biometric feature is detected on the steering wheel and the first biometric feature does not match the current driver's biometric feature includes: If a first biometric feature is detected on the steering wheel and the first biometric feature does not match the current driver's biometric feature, the rotational force and / or rotational speed of the steering wheel are detected. If the rotational force is greater than a preset force threshold and / or the rotational speed is greater than a preset rotational speed threshold, the vehicle is controlled to enter the autonomous driving mode.

6. The control method according to claim 1, characterized in that, The control of the vehicle to enter autonomous driving mode includes: Determine the current driving environment of the vehicle; When the current driving environment meets the preset environmental conditions, the vehicle is controlled to automatically stop driving; If the current driving environment does not meet the preset environmental conditions, the vehicle is controlled to switch from manual driving mode to automatic driving mode.

7. The control method according to claim 6, characterized in that, The control of the vehicle to automatically stop driving includes: Control the vehicle to perform emergency braking; In response to the vehicle entering the emergency braking state, the corresponding warning sign for the vehicle is activated.

8. The control method according to claim 7, characterized in that, The method includes: If the vehicle activates the warning sign, determine the vehicle type. If the vehicle type is a public transportation vehicle, a warning signal is sent to the terminal device based on the current location and current time.

9. The method according to claim 6, characterized in that, Determining the current driving environment of the vehicle includes: Detect whether there are obstacles within a preset distance around the vehicle; If there are no obstacles within the preset distance, it is determined that the current driving environment meets the preset environmental conditions; If the obstacle exists within the preset distance, it is determined that the current driving environment does not meet the preset environmental conditions.

10. A vehicle control device, characterized in that, include: The determination module is configured to detect biometric features on the steering wheel while the vehicle is in motion; An execution module is configured to control the vehicle to enter an autonomous driving mode when a first biometric feature is detected on the steering wheel and the first biometric feature does not match the current driver's biometric feature, including: If the presence of the first biometric feature on the steering wheel is detected, and the first biometric feature does not match the current driver's biometric feature, the vehicle's driving trajectory during a first time period before the first biometric feature was detected, and the control parameters of the steering wheel during a second time period after the first biometric feature was detected, are obtained; based on the driving trajectory and the control parameters, the operation intention corresponding to the first biometric feature is determined; if the operation intention is determined to be a dangerous interference, the vehicle is controlled to enter the autonomous driving mode.

11. A vehicle, characterized in that, include: processor; Memory used to store processor-executable instructions; The processor is configured as follows: Biometrics are detected on the steering wheel while the vehicle is in motion; If a first biometric feature is detected on the steering wheel, and the biometric feature does not match the current driver's biometric feature, the vehicle is controlled to enter an autonomous driving mode, including: If the presence of the first biometric feature on the steering wheel is detected, and the first biometric feature does not match the current driver's biometric feature, the vehicle's driving trajectory during a first time period before the first biometric feature was detected, and the control parameters of the steering wheel during a second time period after the first biometric feature was detected, are obtained; based on the driving trajectory and the control parameters, the operation intention corresponding to the first biometric feature is determined; if the operation intention is determined to be a dangerous interference, the vehicle is controlled to enter the autonomous driving mode.

12. A computer-readable storage medium having computer program instructions stored thereon, characterized in that, When the program instructions are executed by the processor, they implement the steps of the method according to any one of claims 1 to 9.

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