Road congestion degree detection method and device and electronic equipment
A detection method and congestion degree technology, applied in the field of image processing, can solve problems such as induced traffic accidents, road congestion, public safety and social impact, etc., and achieve the effect of improving accuracy
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Embodiment 1
[0036] figure 1 It is a schematic flowchart of a method for detecting road congestion according to the first embodiment of the present disclosure. The method for detecting road congestion can be executed by software and / or hardware devices, for example, the hardware device can be a terminal or a server. For example, see figure 1 As shown, the detection method of the road congestion may include:
[0037] S101. Acquire a road image of a road to be detected.
[0038] For example, when obtaining the road image of the road to be detected, the road image of the road to be detected can be received from other electronic devices, the road image of the road to be detected can be obtained from this storage, and the road image of the road to be detected can also be obtained in other ways The road image can be specifically set according to actual needs. Here, the embodiment of the present disclosure does not make further limitations on the way of acquiring the road image of the road to b...
Embodiment 2
[0050] figure 2 It is a schematic flowchart of a method for determining vehicle information on a road to be detected according to the second embodiment of the present disclosure. The method can also be executed by software and / or hardware devices. For example, the hardware device can be a terminal or a server. For example, see figure 2 As shown, the method may include:
[0051] S201. Carry out lane line recognition on a road image, and determine lane line information in the road image.
[0052] For example, the road image includes a bird's-eye view, and may also be other top views, which can be set according to actual needs. The embodiment of the present disclosure is only described by taking the bird's eye view as an example, but it does not mean that the embodiment of the present disclosure is limited thereto.
[0053] For example, when lane line recognition is performed on a road image and lane line information in the road image is determined, multiple first pixels can...
Embodiment 3
[0076] Figure 5 It is a schematic flowchart of the method for determining the congestion degree of the road to be detected according to the vehicle information according to the third embodiment of the present disclosure. The method can also be executed by software and / or hardware devices. For example, the hardware device can be a terminal or a server . For example, see Figure 5 As shown, the method may include:
[0077] S501. Determine the distance information of the road to be detected according to the distance between two adjacent vehicles.
[0078] For example, when determining the distance information of the road to be detected according to the distance between two adjacent vehicles, the following at least two possible implementations may be included:
[0079] In a possible implementation, when determining the distance information of the road to be detected, the sum value of the distance between two adjacent vehicles can be calculated and determined first; the calcula...
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