Traffic congestion recognition method under low-altitude perspective and related device thereof
By using a low-altitude perspective to identify traffic congestion and employing deep learning models and road planning line compensation technology, the problem of misjudgment in slow-moving road sections by existing monitoring methods has been solved, achieving higher monitoring accuracy.
CN120032299BActive Publication Date: 2025-11-07GUANGDONG TAIYI HIGH & NEW TECH DEV CO LTD
Patent Information
- Application Number
- CN202510289504.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-12
- Publication Date
- 2025-11-07
- Estimated Expiration
- 2045-03-12
Smart Images
Figure CN120032299B_ABST
Abstract
The application discloses a traffic jam identification method under a low-altitude visual angle and related equipment thereof, and the method comprises the following steps: acquiring a road image of a to-be-identified road section; performing target detection on vehicles in the road image by using a preset deep learning model to obtain the bounding boxes of the vehicles in the road image; determining the density degree and the number of dense vehicles between the vehicles in the road image according to the bounding boxes of the vehicles in the road image; and identifying the traffic jam result of the to-be-identified road section according to the density degree and the number of dense vehicles between the vehicles. The application can be widely applied to traffic road jam monitoring, is especially suitable for road sections where vehicles travel slowly, and is more accurate in judgment, thereby greatly improving the accuracy of traffic road jam monitoring.
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Citation Information
Patent Citations
Expressway congestion judgment method, device, equipment and medium
CN113936458A
Road congestion degree detection method and device and electronic equipment
CN114359845A