Road congestion detection method and device, and electronic device

Patent metadata

Field	Value
Publication number	US-2022215747-A1
Application number	US-202217698347-A
Country	US
Kind code	A1
Filing date	Mar 18, 2022
Priority date	Sep 22, 2021
Publication date	Jul 7, 2022
Grant date	—

Abstract

A road congestion detection method realized by a computer includes obtaining K images taken by L cameras corresponding to a first road at a same target time point, the first road including M road sections, each road section corresponding to at least one camera, M, L, K each being a positive integer, L being greater than or equal to M, performing target detection on each image to obtain area ratio information, the area ratio information representing a ratio of an area of vehicles on a lane of a target road section to an area of the lane of the target road section, the target road section being a road section corresponding to the image in the M road sections, and determining a first congestion detection result of the first road at the target time point in accordance with K pieces of area ratio information corresponding to the M road sections.

First claim

What is claimed is:

1 . A road congestion detection method realized by a computer, comprising:
obtaining K images taken by L cameras corresponding to a first road at a same target time point, the first road comprising M road sections, each road section corresponding to at least one camera, M, L and K each being a positive integer, and L being greater than or equal to M; performing target detection on each image to obtain area ratio information, the area ratio information representing a ratio of an area of vehicles on a lane of a target road section to an area of the lane of the target road section, the target road section being a road section corresponding to the image in the M road sections; and determining a first congestion detection result of the first road at the target time point in accordance with K pieces of area ratio information corresponding to the M road sections.

2 . The road congestion detection method according to claim 1 , wherein the first congestion detection result represents whether the first road is in a congested state, and the determining the first congestion detection result of the first road at the target time point in accordance with the K pieces of area ratio information corresponding to the M road sections comprises, in the case that the K pieces of area ratio information meet a predetermined condition, determining that the first road is in the congested state at the target time point,
wherein the predetermined condition comprises that there are N pieces of target area ratio information in the K pieces of area ratio information, the N pieces of target area ratio information being area ratio information corresponding to N consecutive road sections in the first road, the target area ratio information is area ratio information where the ratio is greater than a first predetermined threshold, where N is a positive integer smaller than or equal to M, and a ratio of N to M is greater than or equal to a second predetermined threshold.

3 . The road congestion detection method according to claim 2 , wherein in the case that the first road has at least two directions, the N pieces of target area ratio information is area ratio information corresponding to N consecutive road sections in the first road in a same direction.

4 . The road congestion detection method according to claim 2 , further comprising:
obtaining a congestion detection result of the first road at a predetermined time interval; and in the case that an input for adjusting target information in accordance with at least two congestion detection results of the first road has been received, adjusting the target information in accordance with an input parameter of the input, wherein the target information comprises at least one of the predetermined time interval, the first predetermined threshold or the second predetermined threshold.

5 . The road congestion detection method according to claim 1 , wherein the performing the target detection on the image to obtain the area ratio information comprises:
performing the target detection on the image to obtain vehicle detection information, the vehicle detection information comprising a vehicle detection box for each vehicle image content in the case that the image comprises the vehicle image content; determining an area of each vehicle on the lane of the target road section, the area being an area of the lane covered by the vehicle detection box in the image; and determining a ratio of the area of the lane covered by the vehicle detection boxes in the image to the area of the lane of the target road, so as to obtain the area ratio information.

6 . The road congestion detection method according to claim 1 , wherein the first road is a road in a target space object, and the target space object further comprises a second road, wherein the road congestion detection method further comprises:
obtaining a second congestion detection result of the second road at the target time point; and controlling the vehicles in the target space object in accordance with the first congestion detection result and the second congestion detection result.

7 . The road congestion detection method according to claim 6 , wherein the controlling the vehicles comprises at least one of navigation route planning, parking space recommendation, or vehicle guiding and diversion.

8 . An electronic device realized by a computer, comprising at least one processor and a memory in communication with the at least one processor, wherein the memory is configured to store therein an instruction executed by the at least one processor, and the at least one processor is configured to enable the electronic device to execute the instruction so as to implement a road congestion detection method, comprising:
obtaining K images taken by L cameras corresponding to a first road at a same target time point, the first road comprising M road sections, each road section corresponding to at least one camera, M, L and K each being a positive integer, and L being greater than or equal to M; performing target detection on each image to obtain area ratio information, the area ratio information representing a ratio of an area of vehicles on a lane of a target road section to an area of the lane of the target road section, the target road section being a road section corresponding to the image in the M road sections; and determining a first congestion detection result of the first road at the target time point in accordance with K pieces of area ratio information corresponding to the M road sections.

9 . The electronic device according to claim 8 , wherein the first congestion detection result represents whether the first road is in a congested state, and the determining the first congestion detection result of the first road at the target time point in accordance with the K pieces of area ratio information corresponding to the M road sections comprises, in the case that the K pieces of area ratio information meet a predetermined condition, determining that the first road is in the congested state at the target time point,
wherein the predetermined condition comprises that there are N pieces of target area ratio information in the K pieces of area ratio information, the N pieces of target area ratio information being area ratio information corresponding to N consecutive road sections in the first road, the target area ratio information is area ratio information where the ratio is greater than a first predetermined threshold, where N is a positive integer smaller than or equal to M, and a ratio of N to M is greater than or equal to a second predetermined threshold.

10 . The electronic device according to claim 9 , wherein in the case that the first road has at least two directions, the N pieces of target area ratio information is area ratio information corresponding to N consecutive road sections in the first road in a same direction.

11 . The electronic device according to claim 9 , wherein the road congestion detection method further comprises:
obtaining a congestion detection result of the first road at a predetermined time interval; and in the case that an input for adjusting target information in accordance with at least two congestion detection results of the first road has been received, adjusting the target information in accordance with an input parameter of the input, wherein the target information comprises at least one of the predetermined time interval, the first predetermined threshold or the second predetermined threshold.

12 . The electronic device according to claim 8 , wherein the performing the target detection on the image to obtain the area ratio information comp

Assignees

• Beijing Baidu Netcom Sci & Tech Co Ltd

Inventors

• Tan Xiongfei
• Zhang Yiming
• Ge Tingting
• Gan Xun

Classifications

• G06V10/25

  Determination of region of interest [ROI] or a volume of interest [VOI] · CPC title

• G06V10/44

  Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components · CPC title

• G08G1/04

  using optical or ultrasonic detectors · CPC title

• G06V20/54

  of traffic, e.g. cars on the road, trains or boats · CPC title

• G08G1/0129

  for creating historical data or processing based on historical data · CPC title