CN110027565B - Driving assistance system and method - Google Patents
Driving assistance system and method Download PDFInfo
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- CN110027565B CN110027565B CN201810021471.9A CN201810021471A CN110027565B CN 110027565 B CN110027565 B CN 110027565B CN 201810021471 A CN201810021471 A CN 201810021471A CN 110027565 B CN110027565 B CN 110027565B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/08—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W50/08—Interaction between the driver and the control system
- B60W50/14—Means for informing the driver, warning the driver or prompting a driver intervention
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W50/08—Interaction between the driver and the control system
- B60W50/14—Means for informing the driver, warning the driver or prompting a driver intervention
- B60W2050/143—Alarm means
Abstract
The invention provides a driving assistance system and method for a vehicle. The driving assistance system includes: a first detection unit for detecting a vehicle ahead of the vehicle and performing passenger demand evaluation on the detected vehicle ahead; a second detection unit for detecting a person located on a roadside and performing a boarding demand evaluation on the detected person; and a prediction unit for predicting whether the detected preceding vehicle is about to stop based on the passenger demand evaluation of the detected preceding vehicle and the boarding demand evaluation of the detected person. The driving assistance system and method according to the present invention can provide a prediction that a preceding vehicle is about to stop to assist a driver of the vehicle in achieving safe traveling of the vehicle.
Description
Technical Field
The present invention relates to the field of vehicles. More particularly, the present invention relates to a driving assistance system and method for a vehicle.
Background
During the traveling of the vehicle, if the preceding vehicle is suddenly stopped for some reason, a rear-end collision is highly likely to occur due to an insufficient safety distance between the preceding vehicle and the traveling vehicle located therebehind or an insufficient response of the driver of the traveling vehicle located behind.
Accordingly, a driving assistance system and method that can provide a prediction that a preceding vehicle will stop are desired.
Disclosure of Invention
An object of the present invention is to provide a driving assist system and method capable of predicting that a preceding vehicle is about to stop.
According to an aspect of the present invention, there is provided a driving assistance system for a vehicle, including:
a first detection unit for detecting a vehicle ahead of the vehicle and performing passenger demand evaluation on the detected vehicle ahead;
a second detection unit for detecting a person located on a roadside and performing a lift-up demand evaluation on the detected person; and
a prediction unit for predicting whether the detected preceding vehicle is about to stop or not, based on the passenger demand evaluation of the detected preceding vehicle and the boarding demand evaluation of the detected person.
According to an embodiment of the invention, the first detection unit comprises a camera and detects an operating passenger vehicle carrying no passenger with the camera and evaluates the operating passenger vehicle carrying no passenger as having a strong passenger demand.
According to an embodiment of the present invention, the second detection unit includes the camera, and detects a person who performs a predetermined action with the camera, and evaluates the detected person who performs the predetermined action as having a strong lift demand.
According to an embodiment of the present invention, the prediction unit predicts that the operated passenger vehicle with no passenger is about to stop, based on a strong passenger demand of the operated passenger vehicle with no passenger and a strong boarding demand of the detected person performing the predetermined action.
According to an embodiment of the present invention, the driving assistance system further includes executing means for executing an action of assisting the driver in driving safely, based on the prediction that the detected preceding vehicle is about to stop.
According to an embodiment of the present invention, the execution apparatus includes a warning unit for issuing a warning to a driver of the vehicle relating to a prediction that the vehicle in front of the detected vehicle is about to stop.
According to an embodiment of the present invention, the warning unit includes a display for displaying image information relating to the prediction that the vehicle in front of the detected vehicle is about to stop to a driver of the vehicle.
According to an embodiment of the present invention, the warning unit includes a speaker for emitting sound information relating to the prediction that the vehicle in front of the detected vehicle is about to stop to a driver of the vehicle.
According to an embodiment of the present invention, the executing means executes an action of increasing the safe distance based on the prediction that the detected preceding vehicle is about to stop.
According to another aspect of the present invention, there is also provided a vehicle including the aforementioned driving assistance system.
According to another aspect of the present invention, there is also provided a driving assistance method for a vehicle, including the steps of:
detecting a vehicle ahead of the vehicle and performing passenger demand assessment on the detected vehicle ahead;
detecting a person located on the roadside and evaluating the lift requirement of the detected person; and
predicting whether the detected vehicle ahead will be parked or not based on the passenger demand evaluation of the detected vehicle ahead and the boarding demand evaluation of the detected person.
According to an embodiment of the present invention, an operating passenger vehicle carrying no passenger is detected with a camera and evaluated as having a strong passenger demand.
According to an embodiment of the present invention, a person who performs a predetermined action is detected using the camera, and the detected person who performs the predetermined action is evaluated as having a strong lift demand.
According to the embodiment of the present invention, it is predicted that the operated passenger vehicle with no passenger will stop based on the strong passenger demand of the operated passenger vehicle with no passenger and the strong boarding demand of the detected person performing the predetermined action.
According to an embodiment of the invention, the method further comprises the steps of:
and performing an action to assist the driver in driving safely based on the prediction that the detected preceding vehicle is about to stop.
According to an embodiment of the present invention, a warning is issued to a driver of the vehicle relating to a prediction that the detected preceding vehicle is about to stop.
According to an embodiment of the present invention, image information relating to a prediction that the detected preceding vehicle is about to stop is displayed to a driver of the vehicle.
According to an embodiment of the present invention, sound information relating to a prediction that the detected preceding vehicle is about to stop is emitted to the driver of the vehicle.
According to an embodiment of the present invention, the action of increasing the safe distance is performed based on a prediction that the detected preceding vehicle is about to stop.
The driving assistance system and method according to the present invention can provide a prediction that a preceding vehicle is about to stop to assist a driver of the vehicle in achieving safe traveling of the vehicle.
Drawings
Fig. 1 shows a schematic view of a driving assistance system according to an embodiment of the invention.
Fig. 2 shows a flowchart of a driving assistance method according to an embodiment of the invention.
Detailed Description
Hereinafter, a specific embodiment of the driving assistance system and method according to the invention will be described with reference to the accompanying drawings. The following detailed description and drawings are included to illustrate the principles of the invention, which is not to be limited to the preferred embodiments described, but is to be defined by the appended claims.
The driving assistance system according to the embodiment of the invention may be mounted on or applied to a vehicle to assist a driver in driving safely.
Fig. 1 shows a schematic view of a driving assistance system according to an embodiment of the invention. The driving assist system according to the invention is described below with reference to fig. 1.
As shown in fig. 1, the driving assistance system 100 according to the present invention includes a first detection unit 110, a second detection unit 120, and a prediction unit 130.
Hereinafter, the above-described units will be described in detail.
The first detection unit 110 is used to detect a vehicle ahead of the vehicle and perform passenger demand evaluation on the detected vehicle ahead. According to an embodiment of the present invention, the first detection unit 110 may include a sensor and a signal processing module that communicate with each other. The sensor may include a laser sensor, an ultrasonic sensor, a camera, a radar sensor, etc.; the signal processing module is used for processing signals from the sensors.
In an example in which the first detection unit 110 includes a camera and a signal processing module, a still image of a vehicle ahead of the vehicle may be obtained using a camera mounted on the vehicle (e.g., in front of the vehicle). Then, the camera and the signal processing module perform wired/wireless communication to transfer the still image to the signal processing module. Next, the signal processing module processes and analyzes the static image, for example, if the signal processing module recognizes (1) that the top of the vehicle of the preceding vehicle has "TAXI" or "TAXI" and the like in the static image, that is, the preceding vehicle is recognized as a TAXI; and (2) no passenger is in the front vehicle, the taxi with no passenger is evaluated as having a strong passenger demand. If the signal processing module identifies that (1) the top of the vehicle of the front vehicle does not have characters like TAXI or TAXI and the like in the static image, and identifies the vehicle type of the front vehicle on the basis of the characters to determine that the front vehicle is a private vehicle; and (2) no passenger is loaded in the vehicle in front, the private car with no passenger is evaluated as having a medium load demand. If the signal processing module recognizes in the still image that a passenger has been mounted in the preceding vehicle, the passenger-mounted preceding vehicle is evaluated as a weak passenger demand.
In an example in which the first detection unit 110 includes a laser sensor and a signal processing module, a three-dimensionally reconstructed stereoscopic image of a vehicle ahead of the vehicle may be obtained using the laser sensor mounted on the vehicle (e.g., in front of the vehicle). Then, the signal processing module processes and analyzes the stereo image, for example, if the signal processing module identifies in the stereo image that (1) the vehicle in front has a rectangular or elongated structure (e.g., a taxi top light) on the top of the vehicle, that is, the vehicle in front is identified as a taxi; and (2) no passenger is loaded in the front vehicle, the taxi without the passenger is evaluated as a strong passenger-carrying demand. If the signal processing module identifies in the stereo image that (1) the front vehicle does not have a rectangular or elongated structure (e.g., a taxi dome lamp) on the top of the vehicle, and identifies the type of the front vehicle on the basis thereof to determine that the front vehicle is a private vehicle; and (2) no passenger is in the front vehicle, the private car with no passenger is evaluated as a medium passenger demand. If the signal processing module recognizes in the stereo image that a passenger has been mounted in the front vehicle, the front vehicle mounted with the passenger is evaluated as a weak passenger demand. Those skilled in the art will appreciate that other sensors such as ultrasonic sensors, radar sensors, etc. may be selected in place of the laser sensor in the above embodiments.
In addition, when the passenger carrying requirement evaluation is performed on the detected front vehicle, the current driving lane of the vehicle can be considered in combination, for example, when the vehicle drives on the outermost lane, the middle lane and the innermost lane, the passenger carrying requirements of taxis which are positioned in front of the vehicle and are not provided with passengers correspond to the strongest passenger carrying requirement, stronger passenger carrying requirement and strong passenger carrying requirement respectively. The lane in which the vehicle is currently traveling may be obtained, for example, by a navigation device of the vehicle.
It will be appreciated by those skilled in the art that operating a passenger vehicle is not limited to a taxi cab, but may also include, for example, a net appointment with a specific sign (e.g., a red LED light chain hanging on a rear view mirror). Similarly to the above-described embodiment, the specific mark may be detected by the first detection unit 110 including, for example, a camera or a laser sensor to determine that the preceding vehicle is the service passenger vehicle.
According to an embodiment of the present invention, the signal processing module may employ computer vision and/or pattern recognition algorithms to identify the type of the vehicle ahead (operating passenger/private) and the passenger situation (not carrying/carrying a passenger) in the still image/stereoscopic image during the analysis and processing. For example, the signal processing module of the first detection unit 110 may determine whether the operating passenger vehicle exists in the still image/stereoscopic image with reference to a pre-stored template (e.g., a shape, a color, a specific symbol, a specific pattern, a specific text, a specific logo, etc.) of the operating passenger vehicle.
The second detection unit 120 is used for detecting a person located on the roadside and performing a lift demand evaluation on the detected person. According to an embodiment of the present invention, the second detection unit 120 may include a sensor and a signal processing module that communicate with each other. The sensor may include a laser sensor, an ultrasonic sensor, a radar sensor, a camera, etc.; the signal processing module is used for processing signals from the sensors.
In an example in which the second detection unit 120 includes a camera and a signal processing module, a still image of a person located at a roadside may be obtained using a camera mounted on a vehicle (e.g., in front of the vehicle). Then, the camera and the signal processing module perform wired/wireless communication to transfer the still image to the signal processing module. Next, the signal processing module processes and analyzes the still image, and for example, if the signal processing module detects in the still image that a person on the roadside performs a predetermined action such as a hand-calling, a car-entering direction, or the like, the detected person is evaluated as having a strong lift demand. Otherwise, the detected person is evaluated as a weak lift demand.
In an example in which the second detection unit 120 includes a laser sensor and a signal processing module, a three-dimensional reconstructed stereoscopic image of a person standing on a roadside may be obtained using the laser sensor mounted on a vehicle (e.g., in front of the vehicle). The signal processing module then processes and analyzes the stereo images in a manner similar to the above-described assessment of the lift requirement of the detected person, and therefore, the details thereof are not repeated herein. Those skilled in the art will appreciate that other sensors such as ultrasonic sensors, radar sensors, etc. may be selected in place of the laser sensor in the above embodiments.
According to an embodiment of the present invention, the signal processing module may employ computer vision and/or pattern recognition algorithms to recognize a predetermined action performed by the detected person in the still image/stereoscopic image during the analysis and processing. For example, the signal processing module of the second detection unit 120 may determine whether the detected person in the still image/stereoscopic image performs predetermined actions with reference to a template of the predetermined actions stored in advance (the predetermined actions include one of waving a car, looking in a direction to the car, facing the flow of the car, or a combination thereof).
The prediction unit 130 is configured to predict whether the detected preceding vehicle is about to stop based on the passenger demand evaluation of the detected preceding vehicle and the lift demand evaluation of the detected person. According to an embodiment of the present invention, the prediction unit 130 may be in wired/wireless communication with the first detection unit 110 and the second detection unit 120 to obtain the passenger demand of the detected preceding vehicle and the boarding demand of the detected person. For example, the prediction unit 130 predicts that the taxi with no passenger is about to be parked based on the strong passenger demand of the taxi with no passenger and the strong boarding demand of the detected person who is calling for the car to be stopped. According to a further embodiment of the present invention, the prediction unit 130 predicts that the private car carrying no passenger is likely to be parked, based on a medium passenger carrying demand of the private car carrying no passenger and a strong boarding demand of the detected person who recruits a hand to block the car. According to a further embodiment of the present invention, the prediction unit 130 predicts that the passenger-carrying taxi/private car is unlikely to be parked based on a weak passenger-carrying demand of the passenger-carrying taxi/private car and a strong lift demand of the detected person who is calling for a hand to stop the car. According to another embodiment of the present invention, the prediction unit 130 predicts that the taxi with no passenger is unlikely to stop based on the strong boarding demand of the taxi with no passenger and the weak boarding demand of the detected person.
Optionally, the driving assistance system 100 according to the present invention further includes executing means for executing an action for assisting the driver in driving safely, based on a prediction that the detected preceding vehicle is about to stop.
For example, the performing means comprises a warning unit 140, the warning unit 140 being adapted to issue a warning to the driver of the vehicle relating to a prediction that the vehicle in front of the detected vehicle is about to stop.
According to an embodiment of the invention, the warning unit 140 comprises a display for displaying image information to the driver of the vehicle relating to a prediction that the vehicle in front of the detected vehicle is about to stop. The display may be a dedicated display or a public display of the vehicle. And, the display may be disposed on a dashboard of the vehicle. In one example, a rectangle representing the vehicle ahead is displayed on the display, which may change color based on a prediction of whether the detected vehicle ahead is about to stop. For example, the rectangle may be displayed in red based on the prediction that the detected preceding vehicle is about to stop, and the rectangle may be displayed in blue based on the prediction that the detected preceding vehicle is unlikely to stop. The driver of the vehicle, after noticing the red rectangle on the display, may choose to decelerate so as to maintain a longer safe distance from the vehicle in front to avoid a rear-end collision due to a sudden stop of the vehicle in front.
As another example, the warning unit 140 includes a speaker, and the speaker 140 is configured to emit sound information related to a prediction that the detected preceding vehicle is about to stop to the driver of the vehicle. The speaker may be located anywhere in the vehicle where it is convenient for the driver to hear the sound, for example, on the dashboard. In one example, the speaker may sound a rush "tic-tic" based on a prediction that the vehicle in front of the vehicle is about to park. In another example, the speaker may issue an "attention!based on a prediction that a detected front vehicle is about to park! The vehicle in front is about to park! "sound of. The driver of the vehicle can choose to decelerate after hearing the alarm sound of the loudspeaker, so that the driver keeps a longer safe distance with the front vehicle and avoids rear-end collision caused by sudden stop of the front vehicle. In another example, the speaker may sound a slow "tic-tic" based on a prediction that the detected leading vehicle is likely to be parked.
For another example, the actuator includes a brake driving unit 150, and the brake driving unit 150 automatically brakes the vehicle to decelerate based on a prediction that the preceding vehicle is detected to be about to stop, thereby increasing a safe distance from the preceding vehicle to avoid a rear-end collision due to a sudden stop of the preceding vehicle. Those skilled in the art will appreciate that the operation of increasing the safe distance is not limited to deceleration, and for example, in the case of acceleration of the preceding vehicle, the vehicle selecting a constant speed travel may also achieve an increase in the safe distance to the preceding vehicle. In addition, the vehicle can also increase the safe distance to the vehicle ahead by changing lanes.
According to an embodiment of the invention, the driving assistance system according to the invention may be manually activated by the driver when he considers that he enters a suitable location or area. A suitable location or area may be, for example, where a driver drives a vehicle traveling on the rightmost lane and entering near a high-density population area such as a mall, residential area, hospital, or the like. The driver can manually activate the system by entering commands by pressing buttons, touch, voice, etc. As an alternative, the driving assistance system according to the invention may be automatically activated when the trigger condition is met. The trigger condition may be, for example, the vehicle entering a high-density population area near a mall (e.g., obtained via a navigation device of the vehicle).
Fig. 2 shows a schematic diagram of a driving assistance method according to an embodiment of the invention. The driving assistance method according to the invention is described below with reference to fig. 2.
In step S210, a vehicle ahead of the vehicle is detected and passenger demand evaluation is performed on the detected vehicle ahead. According to the embodiment of the present invention, first, a still image of a vehicle ahead of the vehicle may be obtained. Then, the still image is processed and analyzed, for example, if (1) the top of the vehicle of the preceding vehicle has similar words such as "TAXI" or "TAXI" in the still image, that is, the preceding vehicle is recognized as a TAXI; and (2) no passenger is in the front vehicle, the taxi with no passenger is evaluated as having a strong passenger demand. If (1) the top of the front vehicle is not identified with the characters like TAXI or TAXI in the static image, and the type of the front vehicle is identified on the basis of the characters, so as to determine that the front vehicle is a private car; and (2) no passenger is in the front vehicle, the private car with no passenger is evaluated as having a medium passenger demand. If it is recognized in the still image that the passenger has been mounted in the preceding vehicle, the preceding vehicle mounted with the passenger is evaluated as having a weak passenger demand. According to further embodiments of the present invention, a three-dimensionally reconstructed stereoscopic image of a vehicle ahead of the vehicle may be obtained. Then, the stereo image is processed and analyzed, for example, if it is recognized in the stereo image that (1) the preceding vehicle has a rectangular or elongated structure (e.g., a taxi dome lamp) on the top of the vehicle, that is, the preceding vehicle is recognized as a taxi; and (2) no passenger is loaded in the front vehicle, the taxi without the passenger is evaluated as a strong passenger-carrying demand. If it is recognized in the stereoscopic image that (1) the preceding vehicle does not have a rectangular or elongated structure (e.g., a taxi dome lamp) on the roof of the vehicle, and the model of the preceding vehicle is recognized on the basis thereof to determine that the preceding vehicle is a private vehicle; and (2) no passenger is in the front vehicle, the private car with no passenger is evaluated as having a medium passenger demand. If it is recognized in the stereoscopic image that the passenger is already mounted in the preceding vehicle, the preceding vehicle mounted with the passenger is evaluated as a weak passenger demand.
In addition, when the passenger carrying requirement evaluation is performed on the detected front vehicle, the current driving lane of the vehicle can be considered in combination, for example, when the vehicle drives on the outermost lane, the middle lane and the innermost lane, the passenger carrying requirements of taxis which are positioned in front of the vehicle and are not provided with passengers correspond to the strongest passenger carrying requirement, stronger passenger carrying requirement and strong passenger carrying requirement respectively. The lane in which the vehicle is currently traveling may be obtained, for example, by a navigation device of the vehicle.
It will be appreciated by those skilled in the art that operating a passenger vehicle is not limited to a taxi cab, but may also include, for example, a net appointment with a specific sign (e.g., a red LED light chain hanging on a rear view mirror). The specific mark is detected in a similar manner to the above-described embodiment to determine that the preceding vehicle is the operating passenger vehicle.
According to an embodiment of the present invention, in the above analysis and processing, a computer vision and/or pattern recognition algorithm may be employed to recognize the type of the preceding vehicle (running passenger/private) and the passenger situation (not carrying/carrying passenger) in the still image/stereoscopic image. For example, whether or not the operating passenger vehicle exists in the still image/stereoscopic image may be determined with reference to a template (e.g., a shape, a color, a specific symbol, a specific pattern, a specific letter, a specific logo, etc.) of the operating passenger vehicle stored in advance.
At step S220, a person located on the roadside is detected and the detected person is subjected to a lift demand evaluation. According to an embodiment of the present invention, first, a still image of a person located at the roadside may be obtained. Then, the still image is processed and analyzed, and for example, if a person on the roadside is detected in the still image to perform a predetermined action of calling a hand to block a car, looking in the direction of the incoming car, or the like, the detected person is evaluated as having a strong lift demand. Otherwise, the detected person is evaluated as a weak lift demand. According to another embodiment of the present invention, a stereoscopic image of a person standing on a roadside after three-dimensional reconstruction may be obtained. The stereo images are then processed and analyzed in a manner similar to the above described assessment of the lift requirement of the subject, and therefore will not be described in detail herein.
According to an embodiment of the present invention, in the above analysis and processing, a computer vision and/or pattern recognition algorithm may be employed to recognize a predetermined action performed by the detected person in the still image/stereoscopic image. For example, whether the examinee in the still image/stereoscopic image performs predetermined actions may be determined with reference to a template of the predetermined actions stored in advance (the predetermined actions include one of waving, looking, facing the flow of the vehicle, or a combination thereof).
In step S230, it is predicted whether the detected preceding vehicle is about to stop based on the passenger demand evaluation of the detected preceding vehicle and the boarding demand evaluation of the detected person. According to the embodiment of the invention, the passenger carrying demand of the detected front vehicle and the lift demand of the detected person in the above steps can be obtained. For example, it is predicted that a taxi with no passenger is about to be parked based on a strong passenger carrying demand of the taxi with no passenger and a strong boarding demand of a detected person who is calling for a barrier. According to a further embodiment of the invention, it is predicted that an unladen private car is likely to be parked based on a medium passenger demand of the unladen private car and a strong lift demand of a detected person calling for a stop. According to a further embodiment of the present invention, it is predicted that the passenger-carrying taxi/private car is unlikely to be parked based on a weak passenger-carrying demand of the passenger-carrying taxi/private car and a strong boarding demand of the detected person who is calling for a car stop. According to another embodiment of the invention, the taxi carrying no passenger is predicted not to be parked based on the strong passenger carrying demand of the taxi carrying no passenger and the weak passenger carrying demand of the detected person.
Alternatively, the driving assistance method according to the invention further includes the steps of: based on the prediction that the detected preceding vehicle is about to stop, actions to assist the driver in safe driving, such as the actions described in step S240 and in step S250, are performed.
In this case, if it is predicted in step S230 that the detected preceding vehicle is unlikely to come to a stop, the method returns to step S210 to continue detecting the preceding vehicle of the vehicle and making passenger demand evaluation for the detected preceding vehicle. If it is predicted in step 230 that the detected preceding vehicle is about to stop, the method proceeds to step S240 or step S250.
In step S240, a warning is issued to the driver of the vehicle in relation to the prediction that the detected preceding vehicle is about to stop, based on the prediction that the detected preceding vehicle is about to stop. Two specific examples are given below.
According to an embodiment of the present invention, image information relating to a prediction that a vehicle in front of the vehicle is detected is displayed to a driver of the vehicle. In one example of the driving assist method according to the invention, a rectangle indicating the preceding vehicle is displayed, and the rectangle may change color based on a prediction of whether the detected preceding vehicle is about to stop. For example, the rectangle may be displayed in red based on the prediction that the detected preceding vehicle is about to stop, and the rectangle may be displayed in blue based on the prediction that the detected preceding vehicle is unlikely to stop. The driver of the vehicle, after noticing the rectangle displayed red, may choose to decelerate so as to maintain a longer safety distance from the vehicle in front to avoid a rear-end collision due to a sudden stop of the vehicle in front.
According to a further embodiment of the invention, sound information relating to a prediction that a vehicle in front of the vehicle is detected to be parked is emitted to the driver of the vehicle. In another example of the driving assistance method according to the present invention, a prompt "tic to tic" sound may be emitted based on a prediction that the detected preceding vehicle is about to stop. In another example, an "attention!may be issued based on a prediction that a detected preceding vehicle is about to park! The vehicle in front is about to park! The driver of the vehicle can choose to decelerate after hearing the alarm sound of the loudspeaker, so that the driver keeps a longer safe distance with the front vehicle and avoids rear-end collision caused by sudden stop of the front vehicle. In another example, a slow "tic-tic" sound may be emitted based on a prediction that the detected leading vehicle is likely to be parked.
In step S250, the vehicle is automatically braked to decelerate to maintain a long safe distance from the preceding vehicle to avoid rear-end collision due to sudden stop of the preceding vehicle, based on the prediction that the detected preceding vehicle is about to stop. Those skilled in the art will appreciate that the operation of increasing the safe distance is not limited to deceleration, and for example, in the case of acceleration of the preceding vehicle, the vehicle selecting a constant speed travel may also achieve an increase in the safe distance to the preceding vehicle. In addition, the vehicle can also increase the safe distance to the vehicle ahead by changing lanes.
Before starting to execute the driving assistance method according to the invention, a suitable location or region for starting to execute the method may be determined by the driver. The appropriate location or area may be, for example, when a driver drives a vehicle traveling on the rightmost lane and entering the vicinity of a high-density population area such as a mall, a residential area, a hospital, or the like. The driver may manually initiate the method to perform its steps by pressing a button, touch action, voice input, etc. As an alternative, the driving assistance method according to the invention may be automatically executed when the trigger condition is satisfied. The trigger condition may be, for example, the vehicle entering a high-density population area near a mall (e.g., obtained via a navigation device of the vehicle).
As described above, although the exemplary embodiments of the present invention have been described in the description with reference to the drawings, the present invention is not limited to the above-described embodiments, and the scope of the present invention should be defined by the claims and their equivalents.
Claims (11)
1. A driving assistance system for a vehicle, characterized by comprising:
a first detection unit for detecting a vehicle ahead of the vehicle and performing passenger demand evaluation on the detected vehicle ahead;
a second detection unit for detecting a person located on a roadside and performing a boarding demand evaluation on the detected person; and
a prediction unit for predicting whether the detected preceding vehicle is about to stop or not, based on the passenger demand evaluation of the detected preceding vehicle and the boarding demand evaluation of the detected person.
2. The driving assistance system according to claim 1,
the first detection unit comprises a camera, and a passenger carrying vehicle in operation which is not carried with passengers is detected by utilizing the camera, and the passenger carrying vehicle in taxi operation which is not carried with passengers is evaluated as having strong passenger carrying requirements.
3. The driving assist system according to claim 2,
the second detection unit includes the camera, and detects a person who performs a predetermined action using the camera, and evaluates the detected person who performs the predetermined action as having a strong lift demand.
4. The driving assist system according to claim 3,
the prediction unit predicts that the operated passenger vehicle of the non-passenger will stop, based on a strong passenger demand of the operated passenger vehicle of the non-passenger and a strong boarding demand of the detected person performing the predetermined action.
5. The driving assistance system according to any one of claims 1 to 4, further comprising execution means for executing an action of assisting a driver in safe driving based on a prediction that the detected preceding vehicle is about to stop.
6. The drive assist system according to claim 5, wherein the executing means includes a warning unit for issuing a warning to a driver of the vehicle relating to a prediction that the vehicle in front that is detected is about to stop.
7. The drive assist system according to claim 6, wherein the alarm unit includes a display for displaying image information relating to the prediction that the vehicle in front of the detected vehicle is about to stop to a driver of the vehicle.
8. The drive assist system according to claim 6, wherein the alarm unit includes a speaker for emitting sound information relating to the prediction that the vehicle in front of the detected vehicle is about to stop to a driver of the vehicle.
9. The drive assist system according to claim 5, wherein the executing means executes an action of increasing a safe distance based on a prediction that the detected preceding vehicle is about to stop.
10. A vehicle characterized by comprising the driving assist system of any one of claims 1 to 9.
11. A driving assistance method for a vehicle, characterized by comprising the steps of:
detecting a vehicle ahead of the vehicle and performing passenger demand assessment on the detected vehicle ahead;
detecting a person located on the roadside and evaluating the lift requirement of the detected person; and
predicting whether the detected vehicle ahead will be parked or not based on the passenger demand evaluation of the detected vehicle ahead and the boarding demand evaluation of the detected person.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810021471.9A CN110027565B (en) | 2018-01-10 | 2018-01-10 | Driving assistance system and method |
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