CN115527375A - Method for detecting illegal lane change of vehicle in tunnel - Google Patents
Method for detecting illegal lane change of vehicle in tunnel Download PDFInfo
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- CN115527375A CN115527375A CN202211028573.6A CN202211028573A CN115527375A CN 115527375 A CN115527375 A CN 115527375A CN 202211028573 A CN202211028573 A CN 202211028573A CN 115527375 A CN115527375 A CN 115527375A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/04—Detecting movement of traffic to be counted or controlled using optical or ultrasonic detectors
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Abstract
The invention discloses a method for detecting vehicle illegal LANE change in a tunnel, wherein a fixed LANE in the tunnel is LANE = { LANE = i I =1,2, 3. }, VEHICLE is VEHICLE = { VEHICLE = i I =1,2, 3. }, the monitoring probe at the tunnel entrance is IN _ PROB = { IN _ PROB = i I =1,2, 3. }, OUT _ PROB = { OUT _ PROB ] for the monitoring probe at the tunnel exit i I =1,2, 3. }, one monitoring probe for each lane entrance and exit, i.e. in _ prob 1 And out _ prob 1 Corresponding lane 1 ，in_prob 2 And out _ prob 2 Corresponding lane 2 8230, by analogy, a vehicle can trigger a snapshot action at a position 5 m in front of a monitoring probe, the probe can shoot 1 vehicle picture of the lane, and meanwhile, a background system can recognize the license plate number of the vehicle in real time.
Description
Technical Field
The invention relates to a method for detecting illegal lane change of vehicles in a tunnel, belonging to the technical field of intelligent traffic systems and image recognition.
Background
Because the road environment of the tunnel is special, lanes, overtaking and the like are changed at will in the tunnel, traffic accidents are easy to happen, not only the whole road section is affected, but also secondary accidents can be caused, and therefore separation lines between the lanes in the tunnel are generally white solid lines, namely lane changing is forbidden and overtaking is forbidden. A plurality of groups of monitoring probes are generally arranged in a tunnel according to the distance of the tunnel, and the conventional method for detecting the violation lane-changing behavior based on the monitoring video mainly comprises two types: one is based on spatial distance, such as laser detection method, infrared detection method and ultrasonic detection method, and the methods have the problems of expensive equipment, small space coverage area and the like; the other type is a computer vision technology based on machine learning, and the method is simple in installation and maintenance and high in detection accuracy.
At present, the detection method for violation lane change in most urban tunnels combines monitoring snapshot with manual review. The monitoring probe photographs all passing vehicles, detects whether the vehicles press lines or not based on a computer vision technology, and then manually rechecks the violation lane-changing behavior. However, this method is limited in that there is a detection blind zone where the driver can evade the violation snapshot by changing lanes in an area outside the monitoring range. Therefore, a violation vehicle detection method with high applicability is urgently needed for the violation lane-changing behaviors.
Disclosure of Invention
The invention aims to solve the defects of the existing tunnel vehicle illegal lane change detection method, and provides the tunnel vehicle illegal lane change detection method.
The technical scheme adopted by the invention for solving the technical problems is as follows: a detection method for illegal LANE change of vehicles in a tunnel is disclosed, the detection environment of the method is shown in figure 1, wherein a fixed LANE in the tunnel is LANE = { Lane = i I =1,2, 3. }, VEHICLE is VEHICLE = { VEHICLE = i I =1,2,3,. So } at the tunnel entrance, IN _ PROB = { IN _ PROB = monitoring probe at the tunnel entrance i I =1,2, 3. }, OUT _ PROB = { OUT _ PROB ] for the monitoring probe at the tunnel exit i I =1,2, 3. }, one monitoring probe for each lane entrance and exit, i.e. in _ prob 1 And out _ prob 1 Corresponding lane 1 ，in_prob 2 And out _ prob 2 Corresponding lane 2 To turn over toBy analogy, the vehicle can trigger the snapshot action at a position 5 m in front of the monitoring probe, the probe can shoot 1 vehicle picture of the lane, and meanwhile, the background system can recognize the license plate number of the vehicle in real time.
The detection method specifically comprises the following steps:
step 1: vehicle i Lane driven into tunnel i Lane, in _ prob i The first 5 m position triggers a snap action, in _ prob i Snapshotting to vehicle i The system recognizes the license plate number and records the license plate number as license Num _ in i ；
And 2, step: vehicle i Lane for driving out of tunnel j Lane, at out _ prob j The first 5 m position triggers a snap action, out _ prob j Shoot to vehicle i The system recognizes the license plate number and records the license plate number as license Num _ out j ；
And step 3: with license enum _ out j Searching IN the license plate photo collection LICENSEUM _ IN captured at the entrance for keywords to find a matching item licENNEUM _ IN i If i = j, the lane of the vehicle is the same in the blind zone, otherwise, the lane change violation is caused in the blind zone.
Has the advantages that: the method for detecting the illegal lane change in the tunnel can effectively detect the illegal lane change behavior of the vehicle in the blind area, has simple implementation steps, only adds the license plate comparison and search process, does not bring excessive calculation burden to the system, and is an easy-to-implement, low-cost and effective detection method.
Drawings
FIG. 1 is a flow chart of the method of the present invention.
Detailed Description
The invention will be described in further detail with reference to the accompanying drawings.
As shown in fig. 1, the invention provides a method for detecting illegal LANE change of vehicles in a tunnel, wherein a fixed LANE in the tunnel is LANE = { LANE = (LANE) = i I =1,2, 3. }, VEHICLE is VEHICLE = { VEHICLE = i I =1,2,3. }, the monitoring probe at the tunnel entrance is IN _ PROB＝{in_prob i I =1,2,3,. - }, IN _ PROB = { IN _ PROB ] for the monitoring probe at the tunnel exit i I =1,2, 3. }, one monitoring probe for each lane entrance and exit, i.e. in _ prob 1 And out _ prob 1 Corresponding lane 1 ，in_prob 2 And out _ prob 2 Corresponding lane 2 Say with this analogize, the vehicle can trigger the action of taking a candid photograph in the position 5 meters before passing through the monitoring probe, and the probe can shoot 1 vehicle photo in this lane, and backstage system can discern the license plate number of this vehicle in real time simultaneously.
The detection method specifically comprises the following steps:
step 1: vehicle i Lane driven into tunnel i Lane, in _ prob i The first 5 m position triggers a snap action, in _ prob i Shoot to vehicle i The system recognizes the license plate number and records the license plate number as license Num _ in i ；
Step 2: vehicle i Lane coming out of tunnel j Lane, at out _ prob j The first 5 m position triggers a snap action, out _ prob j Shoot to vehicle i The system recognizes its license plate number as license num _ out j ；
And step 3: with license enum _ out j Searching IN the license plate photo collection LICENSEUM _ IN captured at the entrance for keywords to find a matching item licENNEUM _ IN i If i = j, the lane of the vehicle is the same in the blind zone, otherwise, the lane change violation is caused in the blind zone.
Claims (2)
1. A detection method for illegal lane change of vehicles in a tunnel is characterized by comprising the following steps:
step 1: vehicle i Lane driven into tunnel i Lane, at in _ prob i The first 5 m position triggers a snap action, in _ prob i Snapshotting to vehicle i The system recognizes the license plate number and records the license plate number as license Num _ in i ；
Step 2: vehicle i Lane coming out of tunnel j Lane, at out _ prob j The first 5 m position triggers a snap action, out _ prob j Snapshotting to vehicle i The system recognizes its license plate number as license num _ out j ；
And 3, step 3: with license enum _ out j Searching IN the license plate photo collection LICENSEUM _ IN captured at the entrance for keywords to find a matching item licENNEUM _ IN i If i = j, the lane of the vehicle is the same in the blind zone, otherwise, the lane change violation is caused in the blind zone.
2. The method for detecting illegal LANE change of vehicle in tunnel according to claim 1, characterized in that the method is characterized in that a fixed LANE in tunnel is LANE = { LANE = i I =1,2, 3. }, VEHICLE is VEHICLE = { VEHICLE = i I =1,2, 3. }, the monitoring probe at the tunnel entrance is IN _ PROB = { IN _ PROB = i I =1,2,3,. - }, OUT _ PROB = { OUT _ PROB ] for the monitoring probe at the tunnel exit i I =1,2, 3. }, one monitoring probe for each lane entrance and exit, i.e. in _ prob 1 And out _ prob 1 Corresponding lane 1 ，in_prob 2 And out _ prob 2 Corresponding lane 2 The vehicle can trigger the snapshot action at the position 5 m in front of the monitoring probe, the probe can shoot 1 vehicle picture of the lane, and meanwhile, the background system can recognize the license plate number of the vehicle in real time.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211028573.6A CN115527375A (en) | 2022-08-25 | 2022-08-25 | Method for detecting illegal lane change of vehicle in tunnel |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211028573.6A CN115527375A (en) | 2022-08-25 | 2022-08-25 | Method for detecting illegal lane change of vehicle in tunnel |
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| CN115527375A true CN115527375A (en) | 2022-12-27 |
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| CN202211028573.6A Pending CN115527375A (en) | 2022-08-25 | 2022-08-25 | Method for detecting illegal lane change of vehicle in tunnel |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR101859402B1 (en) * | 2017-12-14 | 2018-05-18 | 주식회사 딥스 | The object tracking and lane changing vehicles detection method between linked cameras in tunnel |
| CN109979242A (en) * | 2019-05-08 | 2019-07-05 | 司文 | A kind of freeway tunnel lane change, overtake other vehicles prior-warning device and method |
| CN209804007U (en) * | 2019-05-08 | 2019-12-17 | 司文 | Highway tunnel lane change, overtaking early warning device |
| CN111028503A (en) * | 2018-10-09 | 2020-04-17 | 杭州海康威视系统技术有限公司 | Vehicle lane change monitoring method and device |
| CN113345218A (en) * | 2020-03-03 | 2021-09-03 | 杭州海康威视数字技术股份有限公司 | Vehicle driving abnormity detection method and device, electronic equipment and readable storage medium |
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2022
- 2022-08-25 CN CN202211028573.6A patent/CN115527375A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR101859402B1 (en) * | 2017-12-14 | 2018-05-18 | 주식회사 딥스 | The object tracking and lane changing vehicles detection method between linked cameras in tunnel |
| CN111028503A (en) * | 2018-10-09 | 2020-04-17 | 杭州海康威视系统技术有限公司 | Vehicle lane change monitoring method and device |
| CN109979242A (en) * | 2019-05-08 | 2019-07-05 | 司文 | A kind of freeway tunnel lane change, overtake other vehicles prior-warning device and method |
| CN209804007U (en) * | 2019-05-08 | 2019-12-17 | 司文 | Highway tunnel lane change, overtaking early warning device |
| CN113345218A (en) * | 2020-03-03 | 2021-09-03 | 杭州海康威视数字技术股份有限公司 | Vehicle driving abnormity detection method and device, electronic equipment and readable storage medium |
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