• 专利附录
  • 专利说明
  • 权利要求
  • 类似技术
  • 同族专利
  • 引用文献
  • 法律状态
  • 优先权
    • 专利摘要:

    公开号:SE1150001A1
    申请号:SE1150001
    申请日:2011-01-04
    公开日:2012-07-05
    发明作者:Tony Sandberg；Joseph Ah-King；Anders Johansson；Jan Dellrud
    申请人:Scania Cv Ab；
    IPC主号:
    专利说明:

    15 20 25 30 2 the traffic condition, and determine a reference condition for the current traffic situation. The current driving condition is evaluated by comparing the current driving condition with the reference condition.
    The systems described take into account how the driver drives the vehicle depending on the route. However, the systems do not take into account how other road users are forced to act depending on the driver's choice. A driver with poor eyesight does not notice that other road users have to brake hard or steer away to avoid a collision. Motorcyclists must be especially alert, as they are small and often end up in obscured angles.
    The object of the invention is to provide a system which assesses the driver's driving behavior with regard to how the driver's driving behavior forces other drivers to act.
    SUMMARY OF THE INVENTION The object described above is achieved by a system for assessing a driver of a vehicle Ai's driving behavior. The system comprises a status unit adapted to receive status information about at least one other vehicle B in the vicinity of the own vehicle Azs, and to generate an information signal S1 indicating said status information. The system further comprises a situation unit adapted to receive status information about the vehicle A and its surroundings and analyze which situation the vehicle A is in, and generate a situation signal SS which indicates said situation. The system also comprises a risk unit adapted to determine if the vehicle B was in a risky situation depending on the driver of the vehicle Az's action based on predetermined situation criteria and the status information and situation analysis, and generate a risk signal SR indicating said determination.
    According to another aspect, the system comprises a method for assessing the driving behavior of a driver of a vehicle. The method comprises: - receiving status information about at least one other vehicle B in the vicinity of the own vehicle A, and generating an information signal S1 indicating said status information; 10 15 20 25 30 3 - receive status information about the vehicle A and its surroundings and analyze which situation the vehicle A is in, and generate a situation signal SS which indicates said situation; - determine if the vehicle B was in a risky situation depending on the driver of the vehicle A's actions, based on predetermined situation criteria and the said status information and situation analysis, and generate a risk signal SR indicating said determination.
    Vehicle A and / or vehicle B are, according to one embodiment, adapted for wireless communication. The wireless communication may include communication between vehicles, so-called V2V communication (Vehicle-to-Vehicle), and / or communication between vehicle and infrastructure, so-called. V2I (Vehicle-to-Infrastructure) communication. This is a technology that is being worked on in a number of global projects between a number of players in the automotive industry. Examples of recent projects include CVIS (Cooperative Vehicle Infrastructure Systems), Safespot and CoCAR (Cooperative Cars).
    The technology used in the systems in these projects is based partly on WLAN (Wireless Local Area network) and partly on GPRS (General Packet Radio Service). Vehicles adapted for V2V communication can exchange information directly with each other. Vehicles adapted for V21 communication can exchange information indirectly with each other via one or more external infrastructure units.
    Through the invention, it is possible, for example, to calculate how many times a vehicle B ends up in a risky situation due to the vehicle A's driving behavior. An assessment of the driver's driving behavior is thus added, which is based on how other road users perceive the driver's actions in detail. The information can also be conveyed to a haulier or command center, which contributes to increased traffic safety by making these bodies aware of the driver's progress.
    Improvements to the driver's driving style can thus be initiated by these bodies. The information may also affect the rating of the driver of vehicle A for his driving style in an existing driving assistance system.
    With the help of information on how vehicle A and surrounding traffic move, risk assessments can be made with regard to, among other things, collisions. When, for example, a vehicle close to the vehicle A must make an evasive maneuver to avoid a collision with the vehicle A, the driver of the vehicle A receives a lowered rating for his driving style.
    If the vehicle B comprises a system for assessing the driver of the vehicle B's driving behavior, the system can according to an embodiment be adapted to receive the said risk signal SR and use this in the assessment and rating of the driver of the vehicle B's driving behavior. If the vehicle B has entered a risky situation due to the driver of the vehicle A's behavior, the said system in the vehicle B may, for example, disregard the driver's behavior in the risky situation or otherwise have the assessment of the driver affected.
    Examples of driving situations where this can be applied are left turns when another vehicle is overtaking, or at left turns when oncoming vehicles must be braked hard to prevent a collision. Lane changes where small vehicles or motorcycles at high speeds easily disappear at blind spots are also examples of traffic situations that often put other vehicles in risky situations.
    Preferred embodiments are described in the dependent claims and in the detailed description.
    Brief Description of the accompanying Figures The invention will be described below with reference to the accompanying figures, of which: Figure 1 shows a block diagram of a system according to an embodiment of the invention.
    Figure 2 shows an example of when a risky situation can arise, when the vehicle A is to drive onto a roadway where the vehicle B is traveling.
    Figure 3 shows a flow chart for a method according to an embodiment of the invention.
    DETAILED DESCRIPTION OF PREFERRED EMBODIMENTS OF THE INVENTION Figure 1 shows a system for judging a driver of a vehicle A's driving behavior. The system can be placed in the vehicle A, or placed completely or partially externally from the vehicle A, for example in a central unit of a haulier. The system comprises a status unit 1 adapted to receive status information about at least one other vehicle B in the vicinity of its own vehicle A, and to generate an information signal S1 indicating said status information. According to one embodiment, the status unit is adapted to receive said status information about at least one other vehicle B via V2V communication or V21 (Vehicle-to-Infrastructure communication) communication. The communication can, for example, take place via GPRS or WLAN. Vehicles A and B are according to one embodiment both adapted for wireless communication, and thus according to one embodiment adapted for V2V communication and / or V2I communication. The system also comprises a situation unit 2 adapted to receive status information about the vehicle A and its surroundings and analyze which situation the vehicle A is in, and generate a situation signal SS which indicates the said situation. According to an embodiment, the status unit 2 can obtain the status information via a detector system 5. The detector system 5 is then on board the vehicle A. The detector system 5 can comprise at least one radar unit, a camera unit or a laser unit. The detector system 5 can, for example, detect distances to nearby objects, and the relative speed of the vehicle A in relation to other objects. The vehicle B may also have such a detector system 5 for obtaining status information about the vehicle B. According to another embodiment, the status unit 1 is adapted to receive status information about the vehicle B via a detector system 5, which is adapted to detect status information for the vehicle B such as the vehicle Bis position , speed, acceleration etc.
    In this way, the system can obtain status information about the vehicle B without using V2V or V2I communication.
    Analysis of the situation the vehicle A is in is performed with the help of sensor values from the above-mentioned detector system, and according to an embodiment also with the help of data from one or fl era of a positioning system such as GPS (Global Positioning System) and map data, V2V communication, V2I communication etc. Examples of traffic situations that have arisen for vehicle A after analysis are: Drive-in driving, fi l change, left turn, right turn, overtaking and distance keeping.
    The system also comprises a risk unit 3 adapted to determine if the vehicle B has been in a risky situation depending on the driver of the vehicle A's actions based on predetermined situation criteria and the said status information and situation analysis, and to generate a risk signal SR indicating said provision. Status information from the vehicle B can here be analyzed and compared with limit values to determine whether the vehicle B has acted in an unexpected way, for example strong deceleration, collision signal, strong weighing, etc. Alternatively, a trigger signal ST can be generated already in the status unit 1, which will explained in more detail later.
    If the analysis of status information from vehicle B indicates that vehicle B has acted in an unexpected manner and possibly been exposed to risk due to the driver of the vehicle A's action, a determination is made as to what caused the situation. Here, a number of parameters can be used to determine what caused the dangerous situation and how well the driver of vehicle A has handled the situation. According to one embodiment, said situation criteria comprise at least a predetermined limit value for said status information and situation, in order to determine what caused the dangerous situation. Depending on the situation the vehicle A is in, different parameters are assessed that are compared with different limit values.
    In the situation of oncoming driving, for example, a criterion for vehicle A is to use turn signals. The use of turn signals can then be analyzed by comparing data on the use of turn signals with different limit values (used turn signals , how long before the lateral movement fl turn signals were used Etc.). Other parameters to take into account are the vehicle's speed, brake handling, vehicle placement in lane, utilization of approach distance with regard to the vehicle's performance, etc. Depending on whether the vehicle A has met the criteria and limit values for the situation, the risk unit determines whether the driver of the vehicle A has given rise to the dangerous situation for the vehicle B. of vehicle A has given rise to the risky situation for vehicle B. This information can be used, for example, to know how many times the driver of vehicle A's driving behavior has a negative effect on other drivers.
    The risk signal SR can thus be used to assess the driver's driving behavior. The risk signal SR can be used independently and fed back to the driver, or for example used to influence other assessments of the driver's driving behavior. Other assessments may be, for example, the driver's ability to anticipate different situations, use of brakes, gas, choice of gear, etc. The system may also comprise a rating unit 4 which is adapted to rate the driver's driving behavior based on said risk assessment, and to generate a grade signal SG indicating said grade. This rating can then be displayed to the driver via, for example, a display unit in the driver's dashboard as a rating on a graded scale, as a warning, and / or with recommendations and tips on how the driver should have acted. According to one embodiment, the grade can affect grades for other assessments.
    If the vehicle belongs to a haulier, the haulier can collect information on how many times surrounding vehicles have ended up in a risky situation due to the vehicle A's driving behavior. Äkeriet can also receive a grade assessment per driver for preparatory behavior in dangerous traffic situations. Insurance companies or similar companies can collect statistics on how many dangerous situations arise per mileage and vehicle for a particular haulier who is a customer of theirs, which can be premium-based. Statistics can also be collected on how many dangerous situations have arisen on a certain stretch of road, intersection, driveway or the like, in order to be used to design safer roads.
    According to one embodiment, said status unit 1 is adapted to compare said status information from another vehicle B with at least a predetermined threshold value for the status information, and generate an trigger signal ST depending on the comparison for use to determine if the vehicle B was in a hazardous situation. Examples of different categories of thresholds are given below. The trigger signal ST can thus be used to trigger the entire function to assess whether the driver of the vehicle A has driven his vehicle in such a way that the vehicle B has ended up in a risky situation. According to one embodiment, the situation unit 2 is adapted to wait for a trigger signal ST which indicates that the vehicle B has potentially ended up in a risky situation due to of vehicle A, before any situation analysis is started. The function triggering can be used to retain data, which is otherwise only saved for a limited time (for example 20 seconds), and then start processing data that ultimately leads to situation analysis, risk analysis and grading.
    Examples of triggering are: 0 Deceleration above a certain threshold value, for example speed reduction calculated from wheel speed signal, brake pressure, or brake pedal depression speed. 10 15 20 25 30 0 Weighing stronger than a certain threshold value, for example registered by accelerometer, by gyro, or as large steering wheel angles in relation to the vehicle speed. 0 Shorter distance to another object (vehicle, person, object) than a threshold value.
    The threshold value depends on the relative speed between the vehicle and the object.
    For example, radar, camera or laser can be used. 0 Crash, which is detected by, for example, a crash sensor or accelerometer.
    Figure 2 shows an example of how a risky situation for vehicle B can be demonstrated and assessed. Vehicle B is driven on a motorway, and vehicle A must enter the motorway via an entrance. Vehicle A maintains a relatively low speed, for example 50 km / h, when the vehicle enters the motorway. The low speed of vehicle A forces the driver of vehicle B to brake hard. In this example, the system according to the invention is located in the vehicle A.
    Vehicle A receives status information from vehicle B via VZV communication to status unit 1, for example vehicle position B, speed, acceleration / deceleration, etc.
    By comparing the deceleration with a predetermined threshold value for deceleration, the status unit 1 finds out that the vehicle B has decelerated sharply, ie that the deceleration exceeds the threshold value for deceleration. The status unit 1 then generates an trigger signal ST which indicates that the vehicle B has had to decelerate sharply. The trigger signal ST and the information signal ST with the vehicle B's status information are then sent to the situation unit 2. Since an trigger signal ST is generated which indicates that the vehicle B has retarded above the deceleration threshold, the situation unit begins to analyze the situation the vehicle A is in. about the vehicle A, and uses, for example, sensor signals from the detector system 5. Through, for example, GPS and map data, the unit can find out the vehicle's position on the road, and what kind of road it is. Through this information, the situation unit 2 becomes aware that the vehicle A is on a driveway and is driving into a motorway.
    The situation unit 2 then generates a situation signal SS which is sent to the risk unit 3 which indicates that the situation for the vehicle A concerns approach driving. The risk unit receives the said situation signal SS, and then compares status information from vehicle A with predetermined criteria for driving. For example, the speed of the vehicle A can be compared with a predetermined threshold value for the speed, which can of course vary depending on, for example, the current speed of the motorway or access road. If, for example, the speed of the vehicle A was below the limit value for the speed and the distance between the vehicle A and the vehicle B was below a limit value for the distance between the vehicles when the vehicle B started to decelerate, then the vehicle B is judged to have been in a risky situation and a risk signal SR is generated which indicates this. The driver's actions are thus analyzed, and examples of incorrect actions are that the vehicle A had too low a speed, and that the driver only used turn signals when the vehicle started to fl move into the lane where vehicle B is traveling. The risk signal SR can also indicate what the driver has done wrong. This risk signal SR can, for example, be displayed to the driver via a display unit 6 in the vehicle, or collected for statistical purposes by a haulier via, for example, VZI communication.
    The driver's actions can then be rated by a rating unit 4 which, for example, rates the action on a scale of 0 to 10. The grade can be shown to the driver in a display unit 6, and / or sent to a haulier or similar for statistics and data.
    The invention also comprises a method for assessing a driver of a vehicle A's driving behavior. The method is illustrated by the fate diagram in Figure 3. In a first step S1, the method comprises: receiving status information about at least one other vehicle B in the vicinity of the own vehicle A, and S2: generating an information signal S1 indicating said status information. In a third step S3 status information is received about the vehicle A and its surroundings and the situation the vehicle A is in is analyzed, and in a fourth step S4 a situation signal SS is generated which indicates said situation. The method comprises in a fifth step S5 to determine if the vehicle B is in a risky situation depending on the driver of the vehicle A's actions, based on predetermined situation criteria and the said status information and situation analysis, and in a sixth step S6 to generate a risk signal SR which indicates said determination. By, for example, summing up the number of times a risk signal is generated which indicates that vehicle B has been exposed to risk due to vehicle A's actions, it is possible to obtain statistics for how many times the driver of vehicle A exposed another vehicle to risk.
    Said status information about at least one other vehicle B is obtained according to an embodiment via communication between vehicles (V2V communication), and / or via communication between vehicle and infrastructure (VZI communication). Status information about the vehicle A and its surroundings is obtained, for example, by analyzing signals from at least one radar unit, a camera unit or a laser unit. Similarly, status information about vehicle B can be obtained.
    According to one embodiment, the method comprises comparing said status information from another vehicle B with at least a predetermined threshold value for the status information, and generating an trigger signal ST depending on the comparison for use to determine if the vehicle B is in a hazardous situation. In this way, status information from vehicle B can be used to initiate the assessment of driver A's driving behavior. For example, deceleration above a certain threshold value, collision signal, etc. may generate an trigger signal indicating that the vehicle B has acted in an unusual manner.
    According to a further embodiment, the method comprises grading the driver's driving behavior based on said assessment, and generating a grading signal SG indicating said rating. This rating can then be displayed to the driver via a display unit in the instrument panel, or collected for statistics and data from, for example, a haulier.
    The invention also relates to a computer program product, comprising computer program instructions for causing a computer system in a vehicle to perform the steps according to the above-mentioned method, when the computer program instructions are run on said computer system.
    The invention also comprises a computer program product, in which the computer program instructions are stored on a medium readable by a computer system.
    The present invention is not limited to the embodiments described above.
    Various alternatives, modifications and equivalents can be used. Therefore, the above-mentioned embodiments do not limit the scope of the invention as defined by the appended claims.
    权利要求:
    Claims (16)
    [1]
    System for assessing the driving behavior of a driver of a vehicle A, characterized in that the system comprises: - a status unit (1) adapted to receive status information on at least one other vehicle B in the vicinity of its own vehicle A, and that generating an information signal S1 indicating said status information; - a situation unit (2) adapted to receive status information about the vehicle A and its surroundings and analyze which situation the vehicle A is in, and generate a situation signal SS indicating said situation; a risk unit (3) adapted to determine if the vehicle B was in a risky situation depending on the driver of the vehicle A's actions based on predetermined situation criteria and said status information and situation analysis, and generate a risk signal SR indicating said determination.
    [2]
    The system of claim 1, wherein said status unit is adapted to receive said status information about at least one other vehicle B via in-vehicle communication (V2V communication).
    [3]
    A system according to claim 1 or 2, wherein said status unit is adapted to receive said status information about at least one other vehicle B via communication between vehicle and infrastructure (V21 communication).
    [4]
    A system according to any one of the preceding claims, wherein said situation unit (2) comprises a detector system (5) comprising at least one radar unit, a camera unit or a laser unit.
    [5]
    A system according to any one of the preceding claims, wherein said status unit (1) is adapted to compare said status information from another vehicle B with at least a predetermined threshold value for the status information, and to generate an trigger signal ST depending on the comparison for use to determine if vehicle B has been in a hazardous situation. 10 15 20 25 30 12
    [6]
    A system according to any one of the preceding claims, wherein said situation criteria comprise at least a predetermined limit value for said status information and situation.
    [7]
    A system according to any one of the preceding claims, comprising a rating unit (4) adapted to rate the driver's driving behavior based on said rating, and to generate a rating signal SG indicating said rating.
    [8]
    A method for judging a driver of a vehicle A's driving behavior, comprising: - receiving status information about at least one other vehicle B in the vicinity of the own vehicle A, and generating an information signal S1 indicating said status information; - receive status information about the vehicle A and its surroundings and analyze what situation the vehicle A is in, and generate a situation signal SS indicating said situation; - determine if the vehicle B was in a risky situation depending on the driver of the vehicle A's actions, based on predetermined situation criteria and the said status information and situation analysis, and generate a risk signal SR indicating said determination.
    [9]
    A method according to claim 8, comprising said status information about at least one other vehicle B being obtained via communication between vehicles (V2V communication).
    [10]
    A method according to claim 8 or 9, comprising said status information about at least one other vehicle B being obtained via communication between vehicle and infrastructure (V21 communication). 10 15 20 25 30 13
    [11]
    A method according to any one of claims 8 to 10, which comprises obtaining status information about the vehicle A and its surroundings by analyzing signals from at least one radar unit, a camera unit or a laser unit.
    [12]
    A method according to any one of claims 8 to 11, comprising comparing said status information from another vehicle B with at least a predetermined threshold value for the status information, and generating an trigger signal ST depending on the comparison for use to determine if the vehicle B was in a risky situation.
    [13]
    A method according to any one of claims 8 to 12, wherein said situation criteria comprise at least a predetermined limit value for said status information and situation.
    [14]
    A method according to any one of claims 8 to 13, comprising rating the driver's driving behavior based on said judgment, and generating a rating signal SG indicating said rating.
    [15]
    A computer program product, comprising computer program instructions for causing a computer system in a vehicle to perform the steps of the method according to any one of claims 8 to 14, when the computer program instructions are run on said computer system.
    [16]
    The computer program product of claim 15, wherein the computer program instructions are stored on a medium readable by a computer system.
    类似技术:
    公开号 | 公开日 | 专利标题
    SE1150001A1|2012-07-05|Method and system for assessing driving behavior
    JP6635428B2|2020-01-22|Car peripheral information display system
    US8711003B2|2014-04-29|Vehicle location information-based abnormal driving determination and warning system
    US9177477B2|2015-11-03|Collision warning system using driver intention estimator
    US9514642B2|2016-12-06|Method for detecting traffic jams using a wireless vehicle to vehicle communication system
    JP6243039B2|2017-12-06|Method for inspecting certainty of erroneous driving of automobile and control detection device
    KR20150061752A|2015-06-05|Device for driving assist and method for activating the function automatically by the device
    JP4940206B2|2012-05-30|Road traffic information providing system and method
    US9315191B2|2016-04-19|Driving assistance device
    US9323718B2|2016-04-26|Method and device for operating a driver assistance system of a vehicle
    JP4235090B2|2009-03-04|Vehicle travel support device
    US9638615B2|2017-05-02|Method and control device and detection device for recognizing an entry of a motor vehicle into a traffic lane opposite a driving direction
    EP2827317B1|2020-01-08|Device for determining sensitivity to prediction of unexpected situations
    CN106470884B|2020-10-09|Determination of vehicle state and driver assistance while driving a vehicle
    CN109841088B|2021-10-22|Vehicle driving assistance system and method
    GB2532572A|2016-05-25|E-bike to infrastructure or vehicle communication
    JP2014232508A|2014-12-11|Avoidance track prediction device
    CN105513420A|2016-04-20|Vehicle intersection related alarm output apparatus
    CN111137284B|2021-07-23|Early warning method and early warning device based on driving distraction state
    US20180173236A1|2018-06-21|Vehicle control system, vehicle control method, and vehicle control program
    JP6372259B2|2018-08-15|Driving support system
    KR101512935B1|2015-04-16|Apparatus and method for managing vehicular safety
    JP5974556B2|2016-08-23|Road information creation / distribution device, in-vehicle device, road information creation / distribution system, road information creation / distribution method
    TW202008325A|2020-02-16|Cooperative vehicle safety system and method
    US20210163009A1|2021-06-03|Method and device for assisting a driver in a vehicle
    同族专利:
    公开号 | 公开日
    EP2471694A2|2012-07-04|
    EP2471694A3|2014-06-25|
    SE536966C2|2014-11-18|
    引用文献:
    公开号 | 申请日 | 公开日 | 申请人 | 专利标题
    DE10001261C2|2000-01-14|2002-11-21|Daimler Chrysler Ag|Method and device for driving style assessment|
    US7382274B1|2000-01-21|2008-06-03|Agere Systems Inc.|Vehicle interaction communication system|
    DE10103401A1|2001-01-26|2002-08-01|Daimler Chrysler Ag|Hazard prevention system for a vehicle|
    US7486177B2|2006-01-06|2009-02-03|International Business Machines Corporation|System and method for performing interventions in cars using communicated automotive information|
    US8311730B2|2006-11-29|2012-11-13|Neff Ryan A|Vehicle position determination system|
    CN101617350A|2007-02-26|2009-12-30|丰田自动车株式会社|Be used to show the car load-and-vehicle communication system and the method for speed and retarded velocity|
    US9520061B2|2008-06-20|2016-12-13|Tk Holdings Inc.|Vehicle driver messaging system and method|
    US8170725B2|2009-02-18|2012-05-01|GM Global Technology Operations LLC|Vehicle stability enhancement control adaptation to driving skill based on highway on/off ramp maneuver|US10096038B2|2007-05-10|2018-10-09|Allstate Insurance Company|Road segment safety rating system|
    US8606512B1|2007-05-10|2013-12-10|Allstate Insurance Company|Route risk mitigation|
    US9932033B2|2007-05-10|2018-04-03|Allstate Insurance Company|Route risk mitigation|
    US10157422B2|2007-05-10|2018-12-18|Allstate Insurance Company|Road segment safety rating|
    US9147353B1|2013-05-29|2015-09-29|Allstate Insurance Company|Driving analysis using vehicle-to-vehicle communication|
    EP3013643A4|2013-06-27|2017-03-15|Scope Technologies Holdings Limited|Onboard vehicle accident detection and damage estimation system and method of use|
    US10096067B1|2014-01-24|2018-10-09|Allstate Insurance Company|Reward system related to a vehicle-to-vehicle communication system|
    US9355423B1|2014-01-24|2016-05-31|Allstate Insurance Company|Reward system related to a vehicle-to-vehicle communication system|
    US9390451B1|2014-01-24|2016-07-12|Allstate Insurance Company|Insurance system related to a vehicle-to-vehicle communication system|
    US10783587B1|2014-02-19|2020-09-22|Allstate Insurance Company|Determining a driver score based on the driver's response to autonomous features of a vehicle|
    US10796369B1|2014-02-19|2020-10-06|Allstate Insurance Company|Determining a property of an insurance policy based on the level of autonomy of a vehicle|
    US10783586B1|2014-02-19|2020-09-22|Allstate Insurance Company|Determining a property of an insurance policy based on the density of vehicles|
    US9940676B1|2014-02-19|2018-04-10|Allstate Insurance Company|Insurance system for analysis of autonomous driving|
    US10803525B1|2014-02-19|2020-10-13|Allstate Insurance Company|Determining a property of an insurance policy based on the autonomous features of a vehicle|
    US10269075B2|2016-02-02|2019-04-23|Allstate Insurance Company|Subjective route risk mapping and mitigation|
    US10407078B2|2016-04-26|2019-09-10|Sivalogeswaran Ratnasingam|Dynamic learning driving system and method|
    CN111028491A|2019-12-27|2020-04-17|苏州欧孚网络科技股份有限公司|System and method for monitoring safe food delivery of rider|
    法律状态:
    2020-09-01| NUG| Patent has lapsed|
    2020-09-29| NUG| Patent has lapsed|
    优先权:
    申请号 | 申请日 | 专利标题
    SE1150001A|SE536966C2|2011-01-04|2011-01-04|Method and system for assessing driving behavior|SE1150001A| SE536966C2|2011-01-04|2011-01-04|Method and system for assessing driving behavior|
    EP20110193636| EP2471694A3|2011-01-04|2011-12-15|Method and system for assessing driving behaviour|
    [返回顶部]