Unlock instant, AI-driven research and patent intelligence for your innovation.

Method, device and vehicle for determining a front target vehicle

A technology for target vehicles and vehicles, which is applied to traffic control systems, instruments, and traffic flow detection of road vehicles. , the effect of enhancing credibility

Active Publication Date: 2022-04-08
CHINA FIRST AUTOMOBILE
View PDF25 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Lidar has the advantages of accurate detection and high resolution, but it is expensive and cannot be put into use in large quantities; millimeter-wave radar has the characteristics of ranging, accurate speed measurement, and little weather influence, and has high reliability, strong environmental robustness, and low cost. Reasonable, but the angular resolution of the millimeter-wave radar system is low, and it cannot be used to judge the type of object and obtain the size of the object; the camera can obtain environmental scene information, and can accurately identify the lane, type, brake light, turn signal and cut-in of the vehicle in front. However, the camera sensor is affected by complex weather such as heavy rain and fog, and the viewing distance will be shortened. At the same time, it is inaccurate in identifying the speed and acceleration of moving vehicles, which will affect driving safety.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method, device and vehicle for determining a front target vehicle
  • Method, device and vehicle for determining a front target vehicle
  • Method, device and vehicle for determining a front target vehicle

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0029] Figure 1A It is a flow chart of a method for determining a front target vehicle provided in Embodiment 1 of the present invention. This embodiment is applicable to the situation of determining a front target vehicle of any vehicle. A method for determining a target vehicle in front provided in this embodiment can be performed by a device for determining a target vehicle in front provided in an embodiment of the present invention. The device can be implemented by means of software and / or hardware, and integrated when executing the method in the vehicle.

[0030] refer to Figure 1A , the method includes but is not limited to the following steps:

[0031] S110. Acquire driving environment images and driving radar data respectively collected by the camera and the radar in the current sampling period.

[0032] Among them, the camera refers to the equipment that can obtain the scene information of the surrounding environment of the vehicle. It is mainly used for lane depar...

Embodiment 2

[0043] Figure 2A It is a flow chart of a method for determining a front target vehicle provided by Embodiment 2 of the present invention. The embodiments of the present invention are optimized on the basis of the foregoing embodiments. Optionally, this embodiment explains in detail the process of determining the candidate front target vehicle associated with the own vehicle.

[0044] see Figure 2A , the method of this embodiment includes but not limited to the following steps:

[0045] S210. Acquire driving environment images and driving radar data respectively collected by the camera and the radar in the current sampling period.

[0046] Wherein, the driving environment image includes: the driving environment information of the current driving lane and the left and right adjacent driving lanes.

[0047] The camera adopted in this embodiment is a monocular camera. According to the driving environment image collected by the monocular camera under the current sampling peri...

Embodiment 3

[0073] Figure 3A It is a flow chart of a method for determining a front target vehicle provided by Embodiment 3 of the present invention. The embodiments of the present invention are optimized on the basis of the foregoing embodiments. Optionally, this embodiment explains in detail the process of determining the actual front target vehicle corresponding to the own vehicle.

[0074] Specifically, see Figure 3A , the method of this embodiment may specifically include:

[0075] S310. Acquire driving environment images and driving radar data respectively collected by the camera and the radar in the current sampling period.

[0076] S320. Determine a candidate front target vehicle associated with the own vehicle according to the driving environment image.

[0077] S330, constructing a circular area with a set value as the radius of the area centering on the candidate front target vehicle, and recording the circular area as a matching ROI.

[0078] specific, Figure 3B For t...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The embodiment of the invention discloses a method, a device and a vehicle for determining a front target vehicle. Wherein, the method includes: acquiring the driving environment image and driving radar data respectively collected by the camera and the radar in the current sampling period; determining the candidate front target vehicle associated with the vehicle according to the driving environment image; Combined with the driving radar data, the actual front target vehicle corresponding to the own vehicle is determined. The technical solution provided by the embodiment of the present invention quickly determines the candidate front target vehicle through the driving environment image collected by the camera, and then combines the driving radar data to enhance the reliability of the result and improve the reliability of the final determined actual front target vehicle.

Description

technical field [0001] Embodiments of the present invention relate to vehicle control technology, and in particular to a method, device and vehicle for determining a target vehicle ahead. Background technique [0002] The adaptive cruise system is an intelligent assisted driving system, which combines the car's constant speed cruise control system and the vehicle's forward collision warning system. The relative distance and relative speed between the vehicles and other information are used to control the longitudinal speed of the vehicle, so that the vehicle and the vehicle in front can maintain a safe distance and avoid rear-end collision accidents. In the adaptive cruise system, fast and accurate perception of the movement information of the target vehicle in front is the basis of the system's safe work. [0003] At present, the environmental perception sensors used in vehicles mainly include cameras, lidar and millimeter-wave radar. Lidar has the advantages of accurate ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/16G08G1/01G08G1/04G08G1/0968
CPCG08G1/166G08G1/01G08G1/04G08G1/0968
Inventor 张勇陈志新尚秉旭王洪峰刘洋李宇寂
Owner CHINA FIRST AUTOMOBILE