Driving lane judgment method based on perception of objects around vehicle

A technology for driving roads and vehicles, applied in the field of driving lane judgment based on the perception of objects around the vehicle, it can solve problems such as the inability to realize lane-level positioning, fail to meet safety requirements, and lack of robustness, and achieve great promotion value and judgment method simple, simple effect

Inactive Publication Date: 2020-11-06
VOYAH AUTOMOBILE TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

First, high-precision maps, high-precision positioning, and lidar require high costs, which is not conducive to the popularization of high-level intelligent/automatic driving mass-produced vehicles at this stage; sec

Method used

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  • Driving lane judgment method based on perception of objects around vehicle
  • Driving lane judgment method based on perception of objects around vehicle

Examples

Experimental program
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Example Embodiment

[0023] Example 1: The vehicle 1 is driving on a closed road, and the center of the road is separated by a central isolation belt, such as figure 1 As shown, the road in this embodiment is one-way eight lanes. The vehicle 1 has a vehicle-mounted sensor. The vehicle-mounted sensor in this embodiment is a millimeter wave radar and a smart camera, which are used to perceive information about objects on the left and right sides of the vehicle 1.

[0024] ADAS map or car navigation map gives information on the number of lanes on the road the vehicle is traveling on.

[0025] The control system recognizes the static object 2 on the left side of the vehicle 1 based on the on-board sensors. The static object 2 can be a central partition, guardrail or signal sign. In this embodiment, there is a central partition in the middle of the road, so the vehicle 1 is identified by the sensor. On the left side of the central separation zone, the on-board sensors identify the positional relationship be...

Example Embodiment

[0030] Embodiment 2: The vehicle 1 is traveling on a common domestic highway, such as figure 2 As shown, each driving direction includes three driving lanes and an emergency lane. Each driving direction is separated by barriers on both sides, and the center of the road is separated by a central barrier. The vehicle 1 has a vehicle-mounted sensor. The vehicle-mounted sensor in this embodiment is a millimeter wave radar and a smart camera, which are used to perceive information about objects on the left and right sides of the vehicle 1.

[0031] The ADAS map or the car navigation map gives information about the number of lanes on the road the vehicle 1 is traveling on.

[0032] The control system recognizes the static object 2 on the left side of the vehicle 1 based on the on-board sensors. The static object 2 can be a central partition, a guardrail or a signal sign. In this embodiment, there is a guardrail on the left side of the road, so the sensor identifies the left side of the ...

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Abstract

The invention relates to the technical field of automobile control, and in particular relates to a driving lane judgment method based on perception of objects around a vehicle. The method comprises the steps of obtaining the number of lanes of a vehicle driving road, recognizing objects on the left and right sides of the vehicle, obtaining the relative position relation between the objects and thevehicle, and judging the driving lane position of the vehicle according to the relative position relation between the objects on the left and right sides of the vehicle and the vehicle and the numberof lanes. The judgment method is extremely simple, the input cost is extremely low, the vehicle lane information can be accurately judged without a high-precision map, and the method has a great popularization value.

Description

technical field [0001] The invention relates to the technical field of automobile control, in particular to a method for judging a driving lane based on the perception of objects around the vehicle. Background technique [0002] In order to realize high-level intelligent / autonomous driving functions in closed road scenarios, lane-level positioning is crucial. At this stage, the mainstream method for realizing lane-level positioning mainly relies on high-cost positioning equipment such as high-precision maps, GNSS, RTK, and high-precision inertial navigation, as well as fusion and matching of visual and lidar perception information with high-precision maps. First, high-precision maps, high-precision positioning, and lidar require high costs, which is not conducive to the popularization of high-level intelligent / automatic driving mass-produced vehicles at this stage; second, the robustness is insufficient, that is, when RTK, vision, etc. fail Lane-level positioning cannot be ...

Claims

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Application Information

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IPC IPC(8): G08G1/01G08G1/09G08G1/0962G08G1/0967G08G1/0968
CPCG08G1/0104G08G1/0116G08G1/0129G08G1/09G08G1/09626G08G1/096708G08G1/0968
Inventor 凃圣偲沈忱刘会凯刘继峰方维才
Owner VOYAH AUTOMOBILE TECH CO LTD
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