Vehicle and method of controlling the same

Abstract

The present disclosure relates to a vehicle and a control method thereof. The vehicle is capable of efficient autonomous driving by changing a detection range and power consumption of a sensor according to a vehicle speed. The vehicle includes an information acquirer configured to acquire vehicle surrounding information, a speed sensor configured to acquire a vehicle speed, and a controller configured to determine a stopping distance of the vehicle based on the vehicle speed, and determine a detection area in which the vehicle surrounding information is acquired by the information acquirer based on the stopping distance and a dangerous degree of each sensor channel.

Description

[0001] Cross-reference to related applications

[0002] This application is based on and claims priority to Korean Patent Application No. 10-2019-0177852, filed on December 30, 2019, the disclosure of which is incorporated herein by reference in its entirety. Technical Field

[0003] This disclosure relates to a vehicle and a method for controlling the same, and more specifically, to a vehicle and a method for controlling the same that performs autonomous driving. Background Technology

[0004] Recently, autonomous driving controllers used in vehicles require a large amount of data to cover the widest possible area.

[0005] To accommodate this data, the use of state-of-the-art high-performance controllers consumes a significant amount of power. However, in the near future, as autonomous driving performance stabilizes and electric and hydrogen-powered vehicles become more prevalent, this power consumption could become an obstacle to effective autonomous driving. On the other hand, there may also be core applications for processing large amounts of data. Summary of the Invention

[0006] Therefore, in order to effectively utilize the vehicle's core occupancy and power consumption, it may be necessary to set the sensing range and develop corresponding algorithms.

[0007] In view of the above, one aspect of this disclosure provides a vehicle and a control method thereof, which can achieve effective autonomous driving by changing the detection range and power consumption of sensors according to the vehicle speed.

[0008] According to one aspect of this disclosure, the vehicle may include: an information acquirer configured to acquire information about the vehicle's surroundings; a speed sensor configured to acquire the vehicle's speed; and a controller configured to determine a stopping distance of the vehicle based on the vehicle speed, and to determine a detection area for which the information acquirer acquires information about the vehicle's surroundings based on the stopping distance and the degree of danger of each sensor channel. The detection area may include the stopping distance relative to the vehicle.

[0009] When the vehicle speed exceeds a predetermined speed, the controller can expand the detection area to a predetermined extended detection area to obtain information about the vehicle's surroundings based on the increase in vehicle speed and the degree of danger of each sensor channel.

[0010] The controller can execute autonomous driving algorithms based on information about the vehicle's surroundings acquired in the extended detection area.

[0011] When the vehicle speed is less than a predetermined speed, the controller can reduce the detection area to a predetermined reduced detection area based on the decrease in vehicle speed and the degree of danger of each sensor channel to obtain information about the vehicle's surroundings.

[0012] The information acquisition unit may include radar sensors and lidar sensors. When the vehicle speed is less than a predetermined speed, the controller can execute high-precision autonomous driving algorithms by adjusting the resolution of the radar and lidar sensors based on the vehicle speed and the degree of danger of each sensor channel.

[0013] The controller can reduce the power consumption for acquiring information about the vehicle's surroundings to a predetermined value.

[0014] The information acquisition device may include at least one camera. The controller may change the maximum line-of-sight of each of the at least one camera to a predetermined value corresponding to each of the at least one camera.

[0015] The information acquisition unit can acquire weather information about the road the vehicle is traveling on. The controller can determine the detection area based on the weather information and the vehicle speed.

[0016] The information acquisition device may include a first sensor and a second sensor. The controller may designate sensors that are judged to have a high degree of danger for each sensor channel as the first sensor, and sensors that are judged to have a low degree of danger for each sensor channel as the second sensor, and reduce the data acquisition area of ​​the first sensor to a predetermined reduced detection area, and expand the data acquisition area of ​​the second sensor to a predetermined expanded detection area.

[0017] The controller can receive the vehicle driving mode from the user and determine the width of the detection area for acquiring information about the vehicle's surroundings based on the vehicle driving mode input by the user. Attached Figure Description

[0018] These and / or other aspects of this disclosure will become apparent and more readily understood from the following description of embodiments taken in conjunction with the accompanying drawings, in which:

[0019] Figure 1 A control block diagram according to an embodiment is shown;

[0020] Figure 2 It is a diagram used to illustrate the relationship between vehicle speed and braking distance according to an embodiment;

[0021] Figure 3 This is a diagram showing the area where the radar sensor, lidar sensor, and camera acquire information about the vehicle's surroundings according to an embodiment;

[0022] Figure 4This is a diagram illustrating the expanded detection area and the reduced detection area according to an embodiment;

[0023] Figure 5 This is a flowchart illustrating a method or process according to an embodiment. Detailed Implementation

[0024] The same reference numerals always denote the same elements. This disclosure does not describe all elements of the embodiments or content that overlaps with known content or embodiments in the art to which this disclosure pertains.

[0025] This specification does not describe all elements of the disclosed embodiments and omits detailed descriptions of content known in the art or redundant descriptions of substantially identical configurations. The terms "part," "module," "component," "block," etc., used in this specification can be implemented in software or hardware. Furthermore, multiple "parts," "modules," "components," "blocks," etc., can be implemented as a single component. A single "part," "module," "component," "block," etc., can also include multiple components.

[0026] Throughout the specification, when an element is referred to as being “connected to” another element, it can be directly or indirectly connected to the other element, and “indirectly connected” includes being connected to the other element via a wireless communication network.

[0027] Additionally, when a component is referred to as "including" a certain component, it means that it may further include other components, unless otherwise stated that other components are not included.

[0028] Throughout the specification, when a component is "above" another component, this includes not only cases where one component is in contact with another component, but also cases where there are other components between the two components.

[0029] The terms first, second, etc., are used to distinguish one component from another, and the component is not limited by the aforementioned terms.

[0030] Singular expressions include plural expressions, unless the context clearly indicates otherwise.

[0031] In each step, an identifier or number is used for ease of description. The identifier or number does not describe the order of each step. Each step may be performed in a different order unless the context clearly indicates a specific order.

[0032] The working principle and embodiments of this disclosure are described below with reference to the accompanying drawings.

[0033] Figure 1 A control block diagram according to an embodiment is shown.

[0034] Reference Figure 1Vehicle 1 may include an information acquisition device 200, a speed sensor 100, and a controller 300.

[0035] The information acquisition device 200 can acquire information about the area around the vehicle 1, i.e., information about the area around the vehicle.

[0036] Vehicle surroundings information can refer to all information collected by vehicle 1 to perform autonomous driving. According to an embodiment, vehicle surroundings information can refer to hazardous factors that may lead to an accident while driving vehicle 1.

[0037] The information acquisition device 200 may include a radar sensor 210, a lidar sensor 220, a camera 230, and a communication module 240.

[0038] Radar sensor 210 can refer to a sensor that detects the distance, direction, and height of an object by emitting electromagnetic waves or microwaves (ultra-short waves with wavelengths of 10 cm to 100 cm) and receiving electromagnetic waves reflected from the object.

[0039] A lidar sensor 220 can refer to a sensor that emits laser pulses and receives light reflected back from surrounding objects to measure the distance to the objects in order to accurately identify or depict the surrounding environment.

[0040] Camera 230 can be configured to acquire images of the area around the vehicle. According to an embodiment, camera 230 or multiple cameras can be positioned at the front, rear, and sides of vehicle 1 to acquire images.

[0041] The camera 230 installed in vehicle 1 may include a charge-coupled device (CCD) camera 230 or a complementary metal-oxide-semiconductor (CMOS) color image sensor. In this context, both CCD and CMOS refer to sensors that convert and store light input through the lens of camera 230 as electrical signals. Specifically, the CCD camera 230 is a device that converts an image into an electrical signal. Additionally, CIS (CMOS image sensor) refers to a low-power, low-efficiency imaging device with a CMOS structure. CIS is used as an electronic thin film in digital devices. Generally, CCD technology has higher sensitivity than CIS technology and is used in vehicle 1, but this is not necessarily a limitation.

[0042] As described below, the communication module 240 can be configured to acquire weather information about the road on which the vehicle 1 is traveling.

[0043] The communication module 240 may include one or more components capable of communicating with external devices. For example, the communication module 240 may include at least one of a short-range communication module 240, a wired communication module 240, and a wireless communication module 240.

[0044] Speed ​​sensor 100 can acquire speed information of vehicle 1.

[0045] According to an embodiment, the speed sensor 100 can be installed on each of the four wheels, front and rear, as a sensor in the wheels, to detect the rotational speed of the wheels by means of changes in the magnetic lines of force of the wheels and sensors. According to an embodiment, the sensors in the wheels can be set in the electronic stability control (ESC) system of the vehicle 1.

[0046] The wheel speed sensor 100 can obtain the speed and acceleration of the vehicle 1 based on the measured wheel speed.

[0047] The controller 300 can determine the detection area where the information acquirer 200 acquires information about the vehicle's surroundings based on the speed of the vehicle 1.

[0048] The detection area can refer to the area where the radar sensor 210, lidar sensor 220, and camera 230 acquire information about the vehicle's surroundings.

[0049] Specifically, when the speed of vehicle 1 exceeds a predetermined speed, the controller can expand the detection area to a predetermined extended detection area in response to the increase in the speed of vehicle 1 to obtain information about the vehicle's surroundings. The detection area can refer to a variable area where vehicle 1 obtains information about the vehicle's surroundings through information acquisition device 200.

[0050] The extended detection area can refer to the widest range of information that the information acquisition device 200 set in vehicle 1 can acquire about the area around the vehicle.

[0051] According to an embodiment, the region can be predetermined. Details are described below.

[0052] The controller 300 can execute autonomous driving algorithms based on vehicle surrounding information acquired in the extended detection area.

[0053] An autonomous driving algorithm can refer to an algorithm that enables vehicle 1 to drive autonomously based on the surrounding information obtained by vehicle 1.

[0054] When the speed of vehicle 1 is less than a predetermined speed, the controller 300 can reduce the detection area to a predetermined reduced detection area in response to the decrease in the speed of vehicle 1 to obtain information about the vehicle's surroundings. In other words, when the speed of vehicle 1 decreases, it is not necessary to obtain information about the vehicle's surroundings in a wide area. Therefore, the controller 300 can obtain information about the vehicle's surroundings by reducing the detection area.

[0055] If the speed of vehicle 1 is less than the predetermined speed, the controller 300 can increase the resolution of the radar sensor 210 and the lidar sensor 220 to execute a high-precision autonomous driving algorithm.

[0056] In other words, as the speed of vehicle 1 decreases, it may be necessary to acquire more information in a narrow area. Therefore, controller 300 can accurately acquire information about the reduced detection area by increasing the resolution of the radar sensor 210 and lidar sensor 220 included in information acquirer 200.

[0057] If the speed of vehicle 1 is less than a predetermined speed, the controller can reduce the power consumption for acquiring information about the vehicle's surroundings to a predetermined value. In other words, when the speed of vehicle 1 is relatively low, the controller 300 does not need to acquire information over a wide area. Therefore, the controller can reduce the power consumption for acquiring information over a small area.

[0058] The controller 300 can reduce the maximum viewing distance of each of at least one camera 230 to a predetermined value corresponding to each of the at least one camera 230.

[0059] In other words, multiple cameras 230 can be installed in the vehicle 1, and the viewing distance of each camera 230 can be determined individually. On the other hand, the detection area for the vehicle 1 to acquire surrounding information can be determined by the viewing distance of the cameras 230. Therefore, the controller 300 can reduce the maximum viewing distance of each of at least one camera 230 to a predetermined value corresponding to each of the at least one camera 230.

[0060] The information acquisition device 200 can acquire weather information about the road on which the vehicle 1 is traveling.

[0061] The controller can determine the detection area based on weather information and the speed of vehicle 1.

[0062] In other words, when vehicle 1's speed is relatively high, the controller can expand the detection area and acquire information about the vehicle's surroundings within that expanded detection area. However, as described below, the stopping distance of vehicle 1 can be used to determine the detection area.

[0063] On the other hand, in addition to the speed of vehicle 1, the stopping distance of vehicle 1 can also change according to the road conditions on which vehicle 1 is traveling. Therefore, the controller can determine the detection area based on weather information and the speed of vehicle 1. This will be described in detail below.

[0064] The controller can identify sensors that are judged to have a high degree of danger in each sensor channel as the first sensor, and sensors that are judged to have a low degree of danger in each sensor channel as the second sensor.

[0065] The first and second sensors are merely names used to classify information acquirers, not based on priority.

[0066] The controller can reduce the data acquisition area of ​​the first sensor to a predetermined reduced detection area. In other words, since the configurations included in the first sensor do not easily acquire data, the reliability of the amount of data acquired by each configuration is low, thus reducing the data acquisition area.

[0067] The controller can expand the data acquisition area of ​​the second sensor to a predetermined extended detection area.

[0068] Unlike the first sensor, the second sensor is less dangerous and therefore acquires more reliable data, thus expanding or extending the acquisition area.

[0069] The controller can receive the vehicle driving mode from the user and determine the area of ​​the detection zone used to acquire information about the vehicle's surroundings based on the vehicle driving mode input by the user.

[0070] For example, when a user inputs a command to drive in high-speed mode, data over a wide area can be detected. When a user inputs a command to drive in low-speed mode, data over a narrow area can be detected.

[0071] Corresponding to Figure 1 The performance of the components of the vehicle 1 shown allows for the addition or removal of at least one component. Furthermore, those skilled in the art should readily understand that the relative positions of the components can be altered to correspond to the performance or structure of the vehicle 1.

[0072] at the same time, Figure 1 Each component shown refers to software and / or hardware components such as field-programmable gate arrays (FPGAs) and application-specific integrated circuits (ASICs).

[0073] Figure 2 It is a diagram used to illustrate the relationship between vehicle speed and braking distance according to an embodiment.

[0074] Reference Figure 2 The stopping distance of vehicle 1 can refer to the minimum distance at which autonomous vehicle 1 can detect and avoid (stop before a collision) a hazard.

[0075] The controller 300 can determine the necessary data acquisition range based on the vehicle speed.

[0076] In other words, since the stopping distance d3 of vehicle 1 is a distance determined by vehicle 1 based on its speed, and is therefore the minimum distance required for vehicle 1 to stop, controller 300 can determine the stopping distance d3 based on the speed of vehicle 1.

[0077] According to an embodiment, the controller 300 can determine the stopping distance as the sum of the free running distance d1 and the braking distance d2.

[0078] The idle travel distance d1 is the distance before a person perceives the danger and takes action. The idle travel distance d1 can be understood as the time required for the autonomous vehicle 1 to perceive and assess the hazard. According to an embodiment, the idle travel time can be determined to be 0.7 to 1.0 seconds.

[0079] Braking distance d2 can be understood as the minimum distance required for braking corresponding to the speed of vehicle 1 after vehicle 1 has applied the brakes.

[0080] Therefore, the braking distance d2 can be determined based on the speed of vehicle 1. Those skilled in the art can deduce the relevant procedures.

[0081] Therefore, the idle travel distance d1 can be determined as the product of the vehicle 1's speed and idle travel time.

[0082] The controller 300 can determine the empty travel distance d1 based on the speed of the vehicle 1.

[0083] Therefore, the controller 300 can determine the stopping distance d3 of the vehicle 1 based on the vehicle 1's driving speed.

[0084] In summary, the stopping distance of vehicle 1 can refer to the minimum distance required to bring vehicle 1 to a stop. Controller 300 can determine the stopping distance of vehicle 1 based on the speed of vehicle 1.

[0085] In addition, the controller 300 can determine the detection area based on the stop distance determined based on the above operation.

[0086] The detection area can refer to the area used to acquire information about the vehicle's surroundings obtained by the information acquisition device 200 located in the vehicle 1.

[0087] The controller 300 can determine the detection area based on the stopping distance determined based on the speed of the vehicle 1. This will be described in detail below.

[0088] Figure 3 This is a diagram showing the area where the radar sensor 210, lidar sensor 220, and camera 230 acquire information about the vehicle's surroundings according to an embodiment.

[0089] Reference Figure 3 This shows the area where the information acquirer 200 acquires information about the area surrounding the vehicle, with vehicle 1 as the center.

[0090] Specifically, the narrow-angle front camera Z31 in the camera 230 of vehicle 1 can acquire vehicle 1 information up to a distance of 250m in front of vehicle 1.

[0091] In addition, the radar sensor Z32 installed in vehicle 1 can acquire information about vehicle 1 up to 160m in front of it.

[0092] Furthermore, the main front camera Z33 in the camera 230 installed in vehicle 1 can acquire information about vehicle 1 up to a distance of 150m in front of vehicle 1. Moreover, the main front camera Z33 can acquire information over a wider range than the narrow-angle front camera Z31.

[0093] Additionally, the wide-angle front camera Z34 in the camera 230 installed in vehicle 1 can acquire vehicle 1 information up to a distance of 60m in front of vehicle 1. The wide-angle front camera Z34 can acquire vehicle surrounding information over a wider area than the narrow-angle front camera Z31 or the main front camera Z33.

[0094] In addition, the ultrasonic sensor Z35 installed in vehicle 1 can acquire information about the vehicle's surroundings within an 8m radius around vehicle 1.

[0095] On the other hand, the rear-side camera Z36 of the camera 230 installed in vehicle 1 can acquire vehicle 1 information up to a distance of 50m behind vehicle 1. On the other hand, the rear-view camera Z37 facing the rear can acquire vehicle 1 information up to a distance of 100m behind vehicle 1.

[0096] at the same time, Figure 3 The areas shown are merely embodiments of this disclosure. No limitations are imposed on the configuration of the information acquirer 200 or the area in which the information acquirer 200 acquires information about the vehicle's surroundings.

[0097] Figure 4 This is a diagram illustrating the expanded detection area and the reduced detection area according to an embodiment.

[0098] Figure 4 The diagram shows the expanded detection area and the reduced detection area determined by the controller 300 based on the speed of the vehicle 1.

[0099] Reference Figures 2 to 4 When the autonomous vehicle 1 is traveling at a speed of 60 km / h, the controller 300 can determine the stopping distance as approximately 44 m.

[0100] The controller 300 can use sensing data of approximately 57m, which is slightly greater than the stopping distance, and apply an appropriate algorithm. In this case, since the detection area does not need to be larger than the existing detection area, the controller 300 can reduce the detection area to a predetermined reduced detection area L41 to obtain information about the vehicle's surroundings.

[0101] The controller 300 can reduce the processing load and improve battery efficiency based on the above operations.

[0102] In this scenario, the controller 300 acquires high-resolution data over short distances and can perform more precise autonomous driving at low speeds.

[0103] Meanwhile, the resolution in this disclosure can refer to the degree of separation between two closely spaced spectral lines of a radar sensor and a lidar sensor.

[0104] Specifically, the radar sensor 210 can have a relatively low resolution to identify a wide range.

[0105] Radar sensor 210 has high resolution to identify shorter distances, thus enabling more precise control. LiDAR sensor 220 is similarly applicable.

[0106] Therefore, when the speed of vehicle 1 is less than the predetermined speed, controller 300 can execute a high-precision autonomous driving algorithm by increasing the resolution of radar sensor and lidar sensor 220.

[0107] According to an embodiment, the controller 300 can shut down the narrow-angle front camera Z31 in the camera 230 at a speed of 80 km / h.

[0108] Additionally, the controller 300 can reduce the maximum viewing distance of the main front camera Z33 in the camera 230 to use only shorter distance data. In this case, the controller 300 can reduce power consumption to the predetermined value as described above to efficiently acquire surrounding information.

[0109] On the other hand, when vehicle 1 is traveling at a predetermined speed, the detection area can be set to be longer than the stopping distance to ensure stability. For example, when vehicle 1 is traveling at 100 km / h, controller 300 can determine a detection area of ​​approximately 100 m, which is greater than the safe distance of 77 m. Controller 300 can pre-determine this detection area as the extended detection area L42.

[0110] In summary, the controller 300 can reduce and utilize the detection area L41 of the information acquisition device 200 that is judged to have a low level of danger by applying a danger level judgment algorithm to each sensor channel.

[0111] The level of danger is a concept related to the reliability of the information acquired from each sensor channel. If the level of danger is low, data based on a small detection area can be used. If the level of danger is high, data based on a wide detection area can be used.

[0112] On the other hand, the detection area L42 of the information acquisition device 200, which is judged to be of a high degree of danger, can be used.

[0113] In other words, when vehicle 1 exceeds a predetermined speed, an autonomous driving algorithm can be executed to utilize data from the widest possible range. On the other hand, when vehicle 1's speed is less than the predetermined speed, controller 300 can determine the detection area by calculating vehicle 1's speed and the degree of danger of information acquisition device 200 to increase sensor resolution and execute a high-precision autonomous driving algorithm, or reduce the power consumption for acquiring surrounding information to a predetermined value.

[0114] on the other hand, Figures 2 to 4 The operations described herein are merely embodiments of this disclosure. The operation of determining the area of ​​surrounding information acquired by vehicle 1 based on the speed of vehicle 1 is not limited.

[0115] Figure 5 This is a flowchart illustrating a process or method according to an embodiment.

[0116] Vehicle 1 can obtain information about the vehicle's surroundings (1001).

[0117] In addition, vehicle 1 can obtain its speed (1002) by using wheel speed sensors.

[0118] Based on this, vehicle 1 can determine its stopping distance (1003) and determine the detection area (1004) according to the stopping distance. As mentioned above, if the stopping distance is long, the detection area can be widened, and if the stopping distance is short, the detection area can be narrowed.

[0119] At the same time, when the detection area is determined, vehicle 1 can obtain information about the vehicle's surroundings based on the determined detection area (1005).

[0120] If the vehicle speed exceeds the predetermined speed, the vehicle can execute an autonomous driving algorithm based on the information about the vehicle's surroundings obtained in the detection area (1006).

[0121] Meanwhile, when the vehicle speed is less than the predetermined speed, a high-precision autonomous driving algorithm can be executed by increasing the resolution of the radar sensor and lidar sensor (1007).

[0122] In addition, the vehicle can reduce the power consumption for acquiring information about its surroundings to a predetermined value (1008).

[0123] On the other hand, the above embodiments can be implemented in the form of a recording medium storing commands that can be executed by a computer system. These commands can be stored in the form of program code. When the command is executed by a processor, a programming module is generated from the command so that the operations of the disclosed embodiments can be implemented. The recording medium can be implemented as a non-transitory computer-readable recording medium.

[0124] Non-transitory computer-readable recording media include all types of recording media that store data that can be read by a computer system. Examples of computer-readable recording media include read-only memory (ROM), random access memory (RAM), magnetic tape, magnetic disk, flash memory, optical data storage devices, etc.

[0125] Although embodiments of the present disclosure have been shown and described, those skilled in the art will understand that changes may be made to these embodiments without departing from the principles and ideas of the present disclosure as defined in the appended claims and their equivalents.

[0126] According to one aspect of this disclosure, a vehicle and its control method may be provided, which can provide effective autonomous driving by changing the detection range and power consumption of sensors according to the vehicle speed.

Claims

1. A vehicle comprising: Information acquisition device, which acquires information about the vehicle's surroundings; Speed ​​sensor to obtain vehicle speed; as well as The controller determines the vehicle's stopping distance based on the vehicle's speed, and determines the detection area for the information acquisition unit to acquire information about the vehicle's surroundings based on the stopping distance and the hazard level of each sensor channel. The information acquisition device includes a first sensor and a second sensor, each having a resolution. When the vehicle's speed is less than a predetermined speed, the controller increases the resolution of the first and second sensors by calculating the vehicle's speed and the degree of danger posed by the information acquisition device to determine the detection area. The first sensor poses a higher level of danger than the second sensor; therefore, the reliability of information obtained from the first sensor is lower than that from the second sensor. When the detection area includes the stopping distance relative to the vehicle, the detection area changes and the resolution of at least one of the first and second sensors changes when the vehicle speed is less than a predetermined speed.

2. The vehicle according to claim 1, wherein, When the vehicle speed exceeds a predetermined speed, the controller expands the detection area to a predetermined extended detection area to obtain information about the vehicle's surroundings based on the increase in vehicle speed and the degree of danger of each sensor channel.

3. The vehicle according to claim 2, wherein, The controller executes an autonomous driving algorithm based on the vehicle surrounding information acquired in the extended detection area.

4. The vehicle according to claim 1, wherein, When the vehicle speed is less than a predetermined speed, the controller reduces the detection area to a predetermined reduced detection area to obtain information about the vehicle's surroundings based on the decrease in vehicle speed and the degree of danger of each sensor channel.

5. The vehicle according to claim 4, wherein, The information acquisition device includes a radar sensor and a lidar sensor. When the vehicle speed is less than the predetermined speed, the controller executes a high-precision autonomous driving algorithm by changing the resolution of the radar sensor and the lidar sensor based on the vehicle speed and the degree of danger of each sensor channel.

6. The vehicle according to claim 4, wherein, The controller reduces the power consumption for acquiring information about the vehicle's surroundings to a predetermined value.

7. The vehicle according to claim 1, wherein, The information acquisition device includes at least one camera. The controller changes the maximum viewing distance of each of the at least one camera to a predetermined value corresponding to each of the at least one camera.

8. The vehicle according to claim 1, wherein, The information acquisition device acquires weather information about the road the vehicle is traveling on. The controller determines the detection area based on the weather information and the vehicle speed.

9. The vehicle according to claim 1, wherein, The controller identifies sensors that are deemed to have a high degree of danger in each sensor channel as the first sensor, and sensors that are deemed to have a low degree of danger in each sensor channel as the second sensor. The controller also reduces the data acquisition area of ​​the first sensor to a predetermined reduced detection area and expands the data acquisition area of ​​the second sensor to a predetermined expanded detection area.

10. The vehicle according to claim 1, wherein, The controller receives the vehicle driving mode from the user and determines the width of the detection area for acquiring information about the vehicle's surroundings based on the vehicle driving mode input by the user.

Images