CN112373392A - Truck blind area prompting method for passenger vehicle - Google Patents
Truck blind area prompting method for passenger vehicle Download PDFInfo
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- CN112373392A CN112373392A CN202011215977.7A CN202011215977A CN112373392A CN 112373392 A CN112373392 A CN 112373392A CN 202011215977 A CN202011215977 A CN 202011215977A CN 112373392 A CN112373392 A CN 112373392A
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- truck
- passenger vehicle
- target
- blind area
- passenger
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- 238000000034 method Methods 0.000 title claims abstract description 15
- 238000003909 pattern recognition Methods 0.000 claims description 3
- 238000010586 diagram Methods 0.000 description 4
- 230000000694 effects Effects 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
- 238000012800 visualization Methods 0.000 description 1
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Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R1/00—Optical viewing arrangements; Real-time viewing arrangements for drivers or passengers using optical image capturing systems, e.g. cameras or video systems specially adapted for use in or on vehicles
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60Q—ARRANGEMENT OF SIGNALLING OR LIGHTING DEVICES, THE MOUNTING OR SUPPORTING THEREOF OR CIRCUITS THEREFOR, FOR VEHICLES IN GENERAL
- B60Q9/00—Arrangement or adaptation of signal devices not provided for in one of main groups B60Q1/00 - B60Q7/00, e.g. haptic signalling
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R2300/00—Details of viewing arrangements using cameras and displays, specially adapted for use in a vehicle
- B60R2300/80—Details of viewing arrangements using cameras and displays, specially adapted for use in a vehicle characterised by the intended use of the viewing arrangement
- B60R2300/802—Details of viewing arrangements using cameras and displays, specially adapted for use in a vehicle characterised by the intended use of the viewing arrangement for monitoring and displaying vehicle exterior blind spot views
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- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Multimedia (AREA)
- Human Computer Interaction (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention discloses a truck blind area prompting method for passenger vehicles, which comprises the following steps: acquiring running environment information around a passenger vehicle, judging whether trucks exist around the passenger vehicle, and acquiring the position relation between a target truck and the passenger vehicle and the orientation of the target truck when the trucks exist; and judging whether the passenger vehicle is in the blind area of the target truck or not according to the general blind area of the truck, the acquired position relation between the target truck and the passenger vehicle and the direction of the target truck, and prompting a driver that the passenger vehicle is currently in the blind area of the target truck through an on-board multimedia system of the passenger vehicle when the passenger vehicle is judged to be in the blind area of the target truck. The method can quickly judge whether the passenger vehicle is positioned in the blind area of the target truck, prompt drivers to avoid risk factors, reduce dependence on manual judgment, prompt drivers of vehicles of our parties to actively drive away from the blind area of the truck, effectively improve safety of the passenger vehicle and realize automatic prompt.
Description
Technical Field
The invention relates to a truck blind area prompting method for passenger vehicles, and belongs to the technical field of automatic control of automobiles.
Background
Currently, there is a surrounding driving environment recognition and visualization technology, which is generally used for vehicles having an automatic driving capability of L2 or more, such as tesla vehicle models equipped with an Autopilot system. The technology can identify and display surrounding trucks, SUVs, motorcycles, and pedestrians; in addition to their type, their relative positional relationship with my vehicle can also be displayed.
However, for a specific type of truck, the above-mentioned technology cannot mark a blind area of the truck, and is used for prompting drivers of the same party to reasonably avoid the blind area and improve the safety factor of the same party.
Disclosure of Invention
The invention aims to solve the technical problem that in the prior art, the condition that trucks around vehicles of one party exist is only displayed, and blind areas of the trucks cannot be marked and prompted, so that potential safety hazards exist when the vehicles run around the trucks.
The invention specifically adopts the following technical scheme to solve the technical problems:
a truck blind spot prompting method for passenger vehicles comprises the following steps:
step 1, acquiring running environment information around a passenger vehicle, judging whether trucks exist around the passenger vehicle, and acquiring the position relation between a target truck and the passenger vehicle and the orientation of the target truck when the trucks exist;
and 2, judging whether the passenger vehicle is in the blind area of the target truck or not according to the general blind area of the truck, the position relation between the target truck and the passenger vehicle obtained in the step 1 and the direction of the target truck, and prompting a driver that the passenger vehicle is currently in the blind area of the target truck through an on-board multimedia system of the passenger vehicle when the passenger vehicle is judged to be in the blind area of the target truck.
Further, as a preferred embodiment of the present invention, in step 1, an image of the surroundings of the passenger vehicle is acquired by the vehicle-mounted camera, and whether a truck is present in the surroundings of the passenger vehicle is identified according to an image recognition algorithm.
Further, as a preferred technical solution of the present invention, in the step 1, a cloud point map around the passenger vehicle is obtained through a laser radar, and whether a truck exists around the passenger vehicle is identified according to a clustering algorithm and a pattern recognition algorithm.
Further, as a preferable aspect of the present invention, the step 1 further includes, when it is determined that there are a plurality of trucks, setting each truck as a target truck to acquire a positional relationship between the target truck and the passenger vehicle.
Further, as a preferred technical solution of the present invention, the vehicle-mounted multimedia system in step 2 adopts a central control display screen and/or a voice player.
By adopting the technical scheme, the invention can produce the following technical effects:
the method can judge whether the passenger vehicle is positioned in the blind area of the target truck or not by combining the general blind area of the truck, the position relation between the target truck and the passenger vehicle and the orientation of the target truck, and prompts a driver to avoid risk factors and drive away from or away from the blind area of the truck as soon as possible; or prompting to avoid the operation of merging the lanes on the right side of the truck to the lane where the truck is located, and increasing the safety of the vehicle at the same place. The driving skill is automated, the dependence on manual judgment is reduced, drivers of vehicles of all the people are prompted to drive away from the dead zone of the truck actively, and the safety of the passenger vehicle is improved; effectively alleviate the pressure of navigating mate driving in-process, improve driving safety, realize automatic suggestion.
Drawings
Fig. 1 is a schematic diagram illustrating the recognition and display of the surrounding environment of tesla Autopilot in the prior art.
Fig. 2 is a schematic diagram of the vehicle-mounted camera acquiring the surrounding image of the passenger vehicle in the invention.
Fig. 3 is a schematic diagram of a point cloud image around a passenger vehicle obtained by a laser radar in the invention.
Fig. 4 is a schematic diagram of the general blind zone area division of the truck of the present invention.
Fig. 5 is a schematic view of the present invention for determining that a passenger vehicle is in a blind spot of a truck.
Detailed Description
The following describes embodiments of the present invention with reference to the drawings.
The invention relates to a truck blind area prompting method for passenger vehicles, which mainly comprises the following steps:
step 1, acquiring running environment information around a passenger vehicle, judging whether trucks exist around the passenger vehicle, and acquiring the position relation between a target truck and the passenger vehicle and the orientation of the target truck when the trucks exist; otherwise, the judgment operation is not performed, which specifically comprises the following steps:
step 1.1 a: according to the invention, the surrounding image of the passenger vehicle of the own party can be acquired through the vehicle-mounted camera, whether a truck exists around the passenger vehicle of the own party is identified according to an image identification algorithm, if so, the truck is taken as a target truck, and the original orientation data of the vehicle-mounted camera is matched according to the position and the size of the target truck in the shooting picture of the vehicle-mounted camera, so that the position relation between the target truck and the passenger vehicle of the own party can be acquired as shown in figure 2. Preferably, when it is determined that there are a plurality of trucks, each truck is set as a target truck to acquire a positional relationship between the target truck and the passenger vehicle.
Step 1.1 b: or acquiring a cloud point map around the passenger vehicle of the same party through the laser radar, identifying whether trucks exist around the passenger vehicle of the same party according to a clustering algorithm and a pattern recognition algorithm, if so, taking the trucks as target trucks, and acquiring the position relation between the target trucks and the vehicles of the same party according to the loading direction and the initial calibration of the laser radar, as shown in fig. 3.
Step 1.2: according to the surrounding image of the passenger vehicle obtained in the step 1.1a, whether the current shot image is the head, the tail or the side of the truck can be known, and the direction of the truck can be known according to the information; alternatively, the orientation of the truck may be obtained from the cloud point map of the truck obtained in 1.1b, depending on the form of the truck in the cloud point map.
And 2, judging whether the passenger vehicle is in the blind area of the target truck or not according to the general blind area of the truck, the position relation between the target truck and the passenger vehicle obtained in the step 1 and the direction of the target truck.
The general area division of the truck blind area can be divided into A, B, C, D, E areas as shown in fig. 4, the ABC area is a blind area below the vehicle body due to the fact that the truck is higher, the D area is a blind area outside the visual field range of the rearview mirror, and the E area is a blind area formed by shielding of the a pillar.
According to the dead zone area of the truck, the position relation of the passenger vehicle and the direction of the target truck, the position and the distance of the passenger vehicle in the truck can be judged, when the passenger vehicle runs in any one of the dead zone areas of the truck, the passenger vehicle is judged to be in the dead zone, otherwise, the passenger vehicle is judged not to be in the dead zone, and as shown in fig. 5, the embodiment shows that the truck is at the left rear part of the passenger vehicle, and the passenger vehicle can be in the dead zone matched with the dead zone area of the truck, so that danger exists. And when the passenger vehicle is judged to be in the blind area of the target truck, prompting a driver that the passenger vehicle is currently in the blind area of the target truck through an on-board multimedia system of the passenger vehicle.
Preferably, the step vehicle-mounted multimedia system prompts a driver that the passenger vehicle is currently in a blind area of the target truck by adopting a central control display screen and/or a voice player, and which target truck in the middle of the current environment may have a risk to the passenger vehicle of the current party.
Therefore, the method can be combined with the general blind area of the truck, the position relation between the target truck and the passenger vehicle and the orientation of the target truck to judge whether the passenger vehicle is positioned in the blind area of the target truck or not, prompt a driver to avoid risk factors, keep away from or drive away from the blind area of the truck as soon as possible, automate the driving skill, reduce the dependence on manual judgment, prompt the driver of the vehicle to actively drive away from the blind area of the truck, effectively improve the safety of the passenger vehicle and realize automatic prompt.
The embodiments of the present invention have been described in detail with reference to the drawings, but the present invention is not limited to the above embodiments, and various changes can be made within the knowledge of those skilled in the art without departing from the gist of the present invention.
Claims (5)
1. A truck blind spot prompting method for passenger vehicles is characterized by comprising the following steps:
step 1, acquiring running environment information around a passenger vehicle, judging whether trucks exist around the passenger vehicle, and acquiring the position relation between a target truck and the passenger vehicle and the orientation of the target truck when the trucks exist;
and 2, judging whether the passenger vehicle is in the blind area of the target truck or not according to the general blind area of the truck, the position relation between the target truck and the passenger vehicle obtained in the step 1 and the direction of the target truck, and prompting a driver that the passenger vehicle is currently in the blind area of the target truck through an on-board multimedia system of the passenger vehicle when the passenger vehicle is judged to be in the blind area of the target truck.
2. The truck blind spot notification method for passenger vehicles according to claim 1, characterized in that: in the step 1, images around the passenger vehicle are obtained through the vehicle-mounted camera, and whether trucks exist around the passenger vehicle is identified according to an image identification algorithm.
3. The truck blind spot notification method for passenger vehicles according to claim 1, characterized in that: in the step 1, a cloud point map around the passenger vehicle is obtained through a laser radar, and whether trucks exist around the passenger vehicle is identified according to a clustering algorithm and a pattern recognition algorithm.
4. The truck blind spot notification method for passenger vehicles according to claim 1, characterized in that: the step 1 further includes, when it is determined that there are a plurality of trucks, taking each truck as a target truck to acquire a positional relationship between the target truck and the passenger vehicle.
5. The truck blind spot notification method for passenger vehicles according to claim 1, characterized in that: and 2, adopting a central control display screen and/or a voice player by the vehicle-mounted multimedia system in the step 2.
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CN202011215977.7A CN112373392A (en) | 2020-11-04 | 2020-11-04 | Truck blind area prompting method for passenger vehicle |
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CN202011215977.7A CN112373392A (en) | 2020-11-04 | 2020-11-04 | Truck blind area prompting method for passenger vehicle |
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Cited By (1)
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CN115771460A (en) * | 2022-11-30 | 2023-03-10 | 江苏泽景汽车电子股份有限公司 | Method and device for displaying vehicle lane change information, electronic equipment and storage medium |
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2020
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