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A Blind Spot Early Warning System for Urban Traffic Passenger Vehicles

A technology for urban traffic and vehicles, applied in radio wave measurement systems, instruments, measurement devices, etc., can solve the problems of traffic hazards that are not identified and detected, lack the possibility of mass production, and have few identification types, so as to meet driving safety requirements. requirements, improve the accuracy of type judgment, improve the effect of robustness and accuracy

Active Publication Date: 2020-02-14
魔视智能科技(上海)有限公司 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In addition, the driver's field of vision of a bus driver is compared with that of a driver of an ordinary vehicle. Although the front blind spot is greatly reduced, the blind spots on both sides of the vehicle body and the rear of the vehicle become larger. , especially in the case of turning and parking start, the driver needs to maintain a high level of vigilance at all times. If the lighting conditions of the road section are not enough (for example, the street lights cannot be illuminated, the conditions for turning on the street lights in the early morning or at dusk are not met, and the extreme weather), then Even if the driver has rich driving experience, he will inevitably lose sight of one thing and cause dangerous situations
[0004] The utility model patent with the announcement number 205788788U and the name of an intelligent safety warning device for passenger vehicles reveals the following technical solution: the patent mainly uses wireless mobile communication and satellite positioning information to analyze the attribute information of all vehicles on the network and road traffic infrastructure For effective identification, communication and obstacle avoidance are provided for drivers and vehicles based on the network. Compared with this patent, there are much fewer types of identification for obstacle avoidance and collision avoidance. For example, this patent can only rely on the driver's own judgment for pedestrians. Targets that cause traffic hazards have not been identified and detected
[0005] The invention patent application with the publication number 106515728A and the name of a collision avoidance system and method for unmanned buses reveals the following technical solution: the patent uses many sensors, including visual sensors, gyroscopes, ultrasonic radar, Laser sensor and radar sensor, although the whole set of equipment can complete the technology involved in the present invention, the price is extremely expensive, and there is no possibility of mass production

Method used

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  • A Blind Spot Early Warning System for Urban Traffic Passenger Vehicles
  • A Blind Spot Early Warning System for Urban Traffic Passenger Vehicles
  • A Blind Spot Early Warning System for Urban Traffic Passenger Vehicles

Examples

Experimental program
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Embodiment 1

[0057] In this embodiment, the collision warning of urban traffic passenger vehicles is described in detail.

[0058] First, the target detection unit performs target detection on the image returned by the camera and the data returned by the radar at the same time. For the image data, the trained deep neural network is used to return the recognition results and the coordinate information of the target for various types of vehicles (including motorized and non-motorized vehicles) appearing in the image (the coordinate information includes but is not limited to the entire Outer contour point set, 2D frame information, 3D frame information of the car body, outer contour point set and 2D frame information of a single wheel). For radar data, the coordinate point and relative velocity of the moving target in the world coordinate system can be obtained through the preprocessing algorithm (including empty target removal, invalid target removal and stationary target judgment).

[0059...

Embodiment 2

[0076] In this embodiment, the pedestrian collision warning of the urban traffic passenger vehicle is described in detail.

[0077] First, the target detection unit performs target detection on the image returned by the camera and the data returned by the radar at the same time. For the image data, the trained deep neural network is used to identify all the human bodies appearing in the image. The special point of this patent is that in addition to the overall identification and detection of pedestrians, it also strengthens the individual identification of human body parts. The deep neural network of human semantic segmentation is used to complete the process, because the pedestrian collision event is most likely to occur in the process of stopping the bus at the stop. Pedestrians appearing close to the vehicle body (with each other obscured or only partially visible) can be recognized.

[0078] The feature of the present invention for pedestrian recognition lies in the use o...

Embodiment 3

[0096] This embodiment further describes the lane departure warning. In the lane departure warning, the target detection unit uses the deep neural network to detect the contour points outside the lane line (including the left and right lane lines in the own vehicle lane and the lane lines of the left and right lanes adjacent to the own vehicle lane). In the fusion calculation unit, after the point set is transformed into a unified world coordinate system by projection, the curve equations of all lane lines can be obtained by fitting the quadratic curve, which can be solved simultaneously with the straight line equation by fitting the forward direction of the vehicle. The coordinates of the collision point, the relative distance from the coordinates to the coordinates of the touch point of the four tires of the vehicle can be calculated. In the alarm unit, the distance is divided by the current vehicle speed to calculate the line pressing time T, and the minimum value Tmin is s...

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Abstract

The invention provides an urban traffic passenger vehicle blind area early warning system. The urban traffic passenger vehicle blind area early warning system comprises an outside sensing unit, a target detection unit, a fusion calculation unit and an alarm unit, wherein the outside sensing unit is installed on a vehicle body of a passenger vehicle and is used for acquiring target image information and radar information of a passenger vehicle body peripheral area in a stopped or running state; the target detection unit is used for detecting the image information to obtain a target recognitionresult and target position data, and the target detection unit is used for detecting the radar information to obtain the position data and the relative speed of a moving target; the fusion calculationunit is used for performing cross verification on the data obtained through the image information and the data obtained through the radar information, the target position data obtained through the image information is compared with the moving target position data obtained through the radar information, whether the target position data are the same target or not is judged, and fusion processing iscarried out on the data belonging to the same target to obtain fusion target information; and the alarm unit is used for judging whether an alarm is started or not according to the fusion target information.

Description

technical field [0001] The invention relates to the field of machine vision, in particular to a blind spot warning system for urban traffic passenger vehicles. Background technique [0002] More and more intelligent assistance / unmanned driving technologies are widely used in ordinary vehicles, but for vehicles with specific functions, such as urban public transportation vehicles (frequent stops, there will be multiple pedestrians approaching actively when the parking is started). , the bus lane area is different from the ordinary lane area, the bus speed limit is different from the ordinary vehicle speed limit, etc.) Because the limited driving requirements are many different, a targeted intelligent driving assistance system is needed to improve the functions of this type of vehicle. [0003] In addition, the field of vision of the driver of the bus is compared with that of the driver of the ordinary vehicle. Although the front blind spot is greatly reduced, the blind spot o...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B60Q9/00G01S13/931G01S13/86
CPCB60Q9/008G01S13/867G01S13/931
Inventor 刘鹭周农
Owner 魔视智能科技(上海)有限公司