CN202987135U - Device for identifying speed reducing prediction behavior before corner - Google Patents

Abstract

The utility model discloses a driver deceleration prediction behavior recognition device before a curve, which comprises a vehicle speed sensor, a first infrared coil sensor, a second infrared coil sensor, a digital camera, a single-chip microcomputer and a buzzer, a vehicle speed sensor, a first infrared ray The circle sensor, the second infrared coil sensor and the digital camera are connected with the input end of the single-chip microcomputer, and the output end of the single-chip microcomputer is connected with a buzzer. The utility model uses a digital camera to collect relatively far ahead road images of the vehicle, calculates the curvature of the current road, and calculates a safe curve speed in combination with the vehicle parameters, and compares it with the vehicle speed. Then judge whether the driver's foot is moved off the accelerator pedal by the infrared coil sensor installed on the front end of the accelerator pedal and the front end of the brake pedal, and move on the brake pedal to prepare for braking to slow down and turn. For drivers who have not prepared for braking Reminders can effectively reduce the occurrence of related traffic accidents.

Description

A driver's deceleration prediction behavior recognition device before a curve

technical field

The utility model relates to the field of road traffic safety, in particular to a driver's deceleration prediction behavior recognition device before a curve.

Background technique

With the development of science and technology and the continuous improvement of people's living standards, cars are becoming more and more popular, and at the same time, the speed of cars is getting higher and higher. In most cases, the driver will slow down before entering the curve, but when the driver is tired or makes a wrong judgment on the road conditions, he will enter the curve at a higher speed, or when he is about to enter the curve These operations are likely to cause the vehicle to skid or rear-end to cause traffic accidents, resulting in huge property losses and casualties. At present, there is already a curve speeding warning device, but it is only aimed at judging whether the vehicle speed can pass the curve smoothly without skidding, and it cannot be recognized whether the driver has brake prediction before entering the curve. Relevant studies have shown that many accidents are not caused by the speed of the vehicle that cannot safely corner, but because the driver did not prepare for braking before entering the corner. Curves, especially small-radius curves and road sections with curved slopes are accident-prone road sections, which requires the driver to be prepared for braking and deceleration in advance.

Contents of the invention

Aiming at the deficiencies of the existing technology, the purpose of this utility model is to provide a driver’s deceleration prediction behavior recognition device before a curve, which can reduce the direct or indirect accidents caused.

In order to realize above-mentioned task, the utility model adopts following technical scheme to realize:

A driver deceleration prediction behavior recognition device before a curve, including a vehicle speed sensor, a first infrared coil sensor, a second infrared coil sensor, a digital camera, a single-chip microcomputer and a buzzer, a vehicle speed sensor, a first infrared coil sensor, a second The infrared coil sensor and the digital camera are connected with the input end of the single-chip microcomputer, and the output end of the single-chip microcomputer is connected with a buzzer.

The utility model also has the following technical characteristics:

The single-chip microcomputer adopts Freescale S12 type single-chip microcomputer.

The utility model installs a digital camera on the vehicle, and the digital camera collects the relatively far ahead road image of the vehicle, and performs curve fitting on the lane line, calculates the curvature of the current road, and calculates a safe curve in combination with the parameters of the vehicle travel speed and compare it with the ego speed. Then judge whether the driver's foot is moved off the accelerator pedal through the infrared coil sensor installed on the front end of the accelerator pedal and the front end of the brake pedal, and move on the brake pedal to prepare for braking to slow down and turn. For drivers who have not prepared for braking Reminders can effectively reduce the occurrence of related traffic accidents.

Description of drawings

Fig. 1 is a schematic diagram of the connection relationship of the present invention.

Below in conjunction with accompanying drawing and embodiment the concrete content of the present utility model is described in further detail.

Detailed ways

The specific embodiments of the present utility model are provided below, and it should be noted that the present utility model is not limited to the following specific embodiments, and all equivalent transformations done on the basis of the technical solution of the application all fall into the protection scope of the present utility model.

According to the above technical scheme, as shown in Figure 1, a driver's deceleration prediction behavior recognition device before a curve includes a vehicle speed sensor, a first infrared coil sensor, a second infrared coil sensor, a digital camera, a single-chip microcomputer and a buzzer, The vehicle speed sensor, the first infrared coil sensor, the second infrared coil sensor and the digital camera are connected with the input end of the single-chip microcomputer, and the output end of the single-chip microcomputer is connected with a buzzer. The single-chip microcomputer adopts Freescale S12 type single-chip microcomputer. Among them, the vehicle speed sensor is installed on the transmission output shaft of the car, the digital camera is installed directly in front of the vehicle cab, the first infrared coil sensor is installed in front of the accelerator pedal, and the second infrared coil sensor is installed in front of the brake pedal for collecting driver information. The buzzer is installed in the cab to determine whether the foot of the vehicle produces a predictive behavior when the vehicle is turning.

When the utility model is in use, the vehicle speed sensor 1 collects the vehicle speed of the vehicle in real time, and the digital camera 2 collects the road image in real time and sends it to the single-chip microcomputer 5, and the single-chip microcomputer 5 recognizes the lane line therefrom, thereby obtains the curvature radius of the road by curve fitting, and according to the self- The vehicle parameters calculate the speed limit value for the vehicle to safely pass through the curve, and compare the real-time vehicle speed with the calculated speed limit value; then judge whether the driver's foot has moved off the accelerator pedal through the infrared coil sensor 3 in front of the accelerator pedal, The infrared coil sensor in front of the brake pedal judges whether the driver's foot is on the brake pedal. If the speed of the self-vehicle exceeds the safe cornering speed, the driver's foot does not move off the accelerator pedal and moves on the brake pedal to prepare for braking and deceleration. When passing through the curve, the single-chip microcomputer controls the buzzer to sound an alarm to remind the driver to pay attention Slow down and drive through the curve to avoid accidents caused by high-speed driving into the curve.

Claims (2)

1. A driver's deceleration pre-judgment behavior recognition device before a curve is characterized in that it comprises a vehicle speed sensor, a first infrared coil sensor, a second infrared coil sensor, a digital camera, a single-chip microcomputer and a buzzer, a vehicle speed sensor, a first The infrared coil sensor, the second infrared coil sensor and the digital camera are connected with the input end of the single-chip microcomputer, and the output end of the single-chip microcomputer is connected with a buzzer. 2. The driver's deceleration prediction behavior recognition device before a curve as claimed in claim 1, wherein said single-chip microcomputer adopts a Freescale S12 type single-chip microcomputer.

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