DRIVING ASSISTANT METHOD, VEHICLE-MOUNTED DEVICE AND READABLE STORAGE MEDIUM

1 . A driving assistant method applied to a vehicle-mounted device, the method comprising:

identifying a type of a traffic line between a current lane in which a vehicle located and an adjacent lane of the current lane;

determining whether the adjacent lane is an overtaking lane based on the type of the traffic line;

obtaining driving data of the vehicle detected by at least one sensor when the adjacent lane is the overtaking lane;

estimating whether the vehicle can overtake from the current lane to the adjacent lane based on the driving data of the vehicle;

calculating an overtaking speed of the vehicle when the vehicle can overtake from the current lane to the adjacent lane; and

issuing a prompt comprising the overtaking speed.

2 . The method according to claim 1 , further comprising:

detecting whether an other vehicle drives in a reversing direction in the adjacent lane using the at least one sensor;

determining whether the vehicle is required to cancel overtaking based on a comparison between a detected distance value and a preset safety distance value, wherein the detected distance value is a distance value between the other vehicle driving in the reversing direction in the adjacent lane and the vehicle; and

issuing a prompt when the vehicle is required to cancel overtaking.

3 . The method according to claim 1 , wherein the step of identifying of the type of the traffic line between the current lane and the adjacent lane of the current lane comprises:

locating the current lane on a high-precision map using a positioning device; and

obtaining the type of the traffic line from the high-precision map.

4 . The method according to claim 1 , wherein the step of identifying of the type of the traffic line between the current lane and the adjacent lane of the current lane comprises:

capturing an image using at least one camera, wherein the captured image comprises the traffic line between the current lane and the adjacent lane of the current lane; and

identifying the type of the traffic line using an image recognition algorithm.

5 . The method according to claim 1 , wherein the driving data of the vehicle comprises a distance between the vehicle and a preceding vehicle, and a speed of the vehicle relative to the preceding vehicle.

6 . The method according to claim 5 , wherein the step of estimating whether the vehicle can overtake from the current lane to the adjacent lane based on the driving data of the vehicle comprises:

inputting the driving data of the vehicle into a pre-trained overtaking model, wherein the pre-trained overtaking model comprises a mapping relationship between different driving data and different overtaking results, the pre-trained overtaking model outputs a result of whether the vehicle can overtake successfully based on the driving data of the vehicle.

7 . The method according to claim 1 , wherein the overtaking speed is V 2 , wherein V 2 2 =V 1 2 +2as; V 1 represents a current speed of the vehicle; “a” represents a preset acceleration; “s” represents a preset distance that the vehicle needs to travel during overtaking.

8 . A vehicle-mounted device comprising:

a storage device; and

at least one processor;

wherein the storage device stores one or more programs, which when executed by the at least one processor, cause the at least one processor to:

identify a type of a traffic line between a current lane in which a vehicle located and an adjacent lane of the current lane;

determine whether the adjacent lane is an overtaking lane based on the type of the traffic line;

obtain driving data of the vehicle detected by at least one sensor when the adjacent lane is the overtaking lane;

estimate whether the vehicle can overtake from the current lane to the adjacent lane based on the driving data of the vehicle;

calculate an overtaking speed of the vehicle when the vehicle can overtake from the current lane to the adjacent lane; and

issue a prompt comprising the overtaking speed.

9 . The vehicle-mounted device according to claim 8 , wherein the at least one processor is further caused to:

detect whether an other vehicle drives in a reversing direction in the adjacent lane using the at least one sensor;

determine whether the vehicle is required to cancel overtaking based on a comparison between a detected distance value and a preset safety distance value, wherein the detected distance value is a distance value between the other vehicle driving in the reversing direction in the adjacent lane and the vehicle; and

issue a prompt when the vehicle is required to cancel overtaking.

10 . The vehicle-mounted device according to claim 8 , wherein the step of identifying the type of the traffic line between the current lane and the adjacent lane of the current lane comprises:

locating the current lane on a high-precision map using a positioning device; and

obtaining the type of the traffic line from the high-precision map.

11 . The vehicle-mounted device according to claim 8 , wherein the step of identifying the type of the traffic line between the current lane and the adjacent lane of the current lane comprises:

capturing an image using at least one camera, wherein the captured image comprises the traffic line between the current lane and the adjacent lane of the current lane; and

identifying the type of the traffic line using an image recognition algorithm.

12 . The vehicle-mounted device according to claim 8 , wherein the driving data of the vehicle comprises a distance between the vehicle and a preceding vehicle, and a speed of the vehicle relative to the preceding vehicle.

13 . The vehicle-mounted device according to claim 12 , wherein the step of estimating whether the vehicle can overtake from the current lane to the adjacent lane based on the driving data of the vehicle comprises:

inputting the driving data of the vehicle into a pre-trained overtaking model, wherein the pre-trained overtaking model comprises a mapping relationship between different driving data and different overtaking results, the pre-trained overtaking model outputs a result of whether the vehicle can overtake successfully based on the driving data of the vehicle.

14 . The vehicle-mounted device according to claim 8 , wherein the overtaking speed is V 2 , wherein V 2 2 =V 1 2 +2as; V 1 represents a current speed of the vehicle; “a” represents a preset acceleration; “s” represents a preset distance that the vehicle needs to travel during overtaking.

15 . A non-transitory storage medium having instructions stored thereon, when the instructions are executed by a processor of a vehicle-mounted device, the processor is configured to perform an driving assistant method, wherein the method comprises:

identifying a type of a traffic line between a current lane in which a vehicle located and an adjacent lane of the current lane;

determining whether the adjacent lane is an overtaking lane based on the type of the traffic line;

obtaining driving data of the vehicle detected by at least one sensor when the adjacent lane is the overtaking lane;

estimating whether the vehicle can overtake from the current lane to the adjacent lane based on the driving data of the vehicle;

calculating an overtaking speed of the vehicle when the vehicle can overtake from the current lane to the adjacent lane; and

issuing a prompt comprising the overtaking speed.

16 . The non-transitory storage medium according to claim 15 , wherein the method further comprises:

detecting whether an other vehicle drives in a reversing direction in the adjacent lane using the at least one sensor;

determining whether the vehicle is required to cancel overtaking based on a comparison between a detected distance value and a preset safety distance value, wherein the detected distance value is a distance value between the other vehicle driving in the reversing direction in the adjacent lane and the vehicle; and

issuing a prompt when the vehicle is required to cancel overtaking.

17 . The non-transitory storage medium according to claim 15 , wherein the step of identifying the type of the traffic line between the current lane and the adjacent lane of the current lane comprises:

locating the current lane on a high-precision map using a positioning device; and

obtaining the type of the traffic line from the high-precision map.

18 . The non-transitory storage medium according to claim 15 , wherein the step of identifying the type of the traffic line between the current lane and the adjacent lane of the current lane comprises:

capturing an image using at least one camera, wherein the captured image comprises the traffic line between the current lane and the adjacent lane of the current lane; and

identifying the type of the traffic line using an image recognition algorithm.

19 . The non-transitory storage medium according to claim 15 , wherein the driving data of the vehicle comprises a distance between the vehicle and a preceding vehicle, and a speed of the vehicle relative to the preceding vehicle.

20 . The non-transitory storage medium according to claim 19 , wherein the step of estimating whether the vehicle can overtake from the current lane to the adjacent lane based on the driving data of the vehicle comprises:

inputting the driving data of the vehicle into a pre-trained overtaking model, wherein the pre-trained overtaking model comprises a mapping relationship between different driving data and different overtaking results, the pre-trained overtaking model outputs a result of whether the vehicle can overtake successfully based on the driving data of the vehicle.