Camera-based electric scooter lane recognition system

By using a camera-based lane recognition system, the riding process of electric scooters can be monitored and controlled in real time, solving the safety hazards of electric scooters and achieving improved safety and standardized riding.

CN223829365UActive Publication Date: 2026-01-23NANJING KUAILUN INTELLIGENT TECH CO LTD
View PDF 0 Cites 0 Cited by

Patent Information

Application Number
CN202520136143.9
Authority / Receiving Office
CN · China
Patent Type
Utility models(China)
Current Assignee / Owner
Filing Date
2025-01-21
Publication Date
2026-01-23
Estimated Expiration
2035-01-21

AI Technical Summary

Technical Problem

The lack of effective driving assistance equipment for existing electric scooters leads to significant safety hazards and makes it difficult to regulate riding behavior and reduce traffic accidents.

Method used

The system employs a camera-based lane recognition system that combines a camera acquisition module, a lane recognition module, a vehicle speed monitoring module, a safety warning module, and a display module to monitor and control the electric scooter's movement in real time, identify lanes, and intervene in dangerous situations.

Benefits of technology

It has improved the safety of electric scooters, standardized riding behavior, reduced traffic accidents and illegal parking, and enhanced the riding experience.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN223829365U_ABST
    Figure CN223829365U_ABST
Patent Text Reader

Abstract

The utility model discloses an electric scooter lane recognition system based on a camera, which comprises a camera acquisition module used for shooting road information and lane marking lines in real time and processing acquired images; the lane recognition module is used for analyzing lane marking lines and road features in real time; the vehicle speed monitoring module is used for monitoring motion information of the electric scooter; the safety warning module is used for detecting potential safety hazards and transmitting warning information to the display module when possible dangerous conditions are detected; the display module is used for receiving the information; the controller is used for a rider to operate the scooter; the lane recognition module, the vehicle speed monitoring module and the safety warning module are connected with the camera module acquisition and display module, the lane recognition module and the vehicle speed monitoring module are connected with the safety warning module, and the controller is connected with the display module. According to the utility model, the driving condition of the scooter can be monitored in real time, active intervention can be performed in dangerous situations, and the safety of the scooter is improved.
Need to check novelty before this filing date? Find Prior Art

Description

TECHNICAL FIELD

[0001] The utility model belongs to the lane recognition system field especially relates to a lane recognition system of electric scooter based on camera. BACKGROUND

[0002] Electric scooter belongs to the small wheel diameter car faction, has the characteristics of fast speed, long endurance, compared with traditional electric bicycle has the characteristics of simple structure, small wheel, light and simple, can save a lot of social resources. But the existing scooter because the simple structure auxiliary driving equipment is less, therefore the safety problem of electric scooter exists great hidden trouble in a certain extent.

[0003] The lane recognition system of electric scooter based on camera is a kind of technology using the image data collected by vehicle-mounted camera to identify the lane on road. It can extract lane line on road by image processing and computer vision algorithm, and track and control lane accordingly. SUMMARY

[0004] In view of the above technical problems, the utility model discloses a lane recognition system of electric scooter based on camera can monitor the driving process of scooter in real time, and the system will actively intervene the driving of scooter when dangerous situation is monitored, to ensure the safety of electric scooter.

[0005] To achieve the above purpose, the utility model adopts the technical scheme as follows: a lane recognition system of electric scooter based on camera, characterized in that the system comprises:

[0006] Camera acquisition module is used for real-time shooting road information and lane marking and processing the collected image;The camera acquisition module includes camera sensor, image acquisition interface, image processing unit, image transmission interface, the camera sensor converts optical signal into electrical signal, the image acquisition interface samples and amplifies the electrical signal and transmits the electrical signal to the image processing unit, the image processing unit processes the image, and the image transmission interface transmits the processed image data to external equipment for display or storage;

[0007] Lane recognition module is used for real-time analysis of lane marking and road features and transmits information to display module and safety warning module;

[0008] Vehicle speed monitoring module is used for monitoring the motion information of electric scooter, and transmits information to display module and safety warning module;

[0009] Safety warning module is used for detecting safety hazards, and transmits warning information to display module when detecting possible dangerous situation;

[0010] A display module for displaying road information, motion information and warning information through the instrument;

[0011] A controller for the rider to operate the scooter;

[0012] The lane recognition module, speed monitoring module and safety warning module are connected to the camera module and display module, the lane recognition module and speed monitoring module are connected to the safety warning module, and the controller is connected to the display module.

[0013] As a preferred, the camera acquisition module includes one or more cameras, which are installed at the head position of the electric scooter.

[0014] As a preferred, the camera acquisition module adopts Junzheng T31 image processing chip.

[0015] As a preferred, the safety warning module can give a safety warning through voice and forcibly adjust the speed of the scooter when it detects a safety hazard.

[0016] As a preferred, the system further includes a turn signal, a buzzer, a key and other peripherals, which are connected to the display device and the controller.

[0017] The utility model has the following beneficial effects:

[0018] 1. Improve safety: through the camera lane recognition technology, the electric scooter can recognize whether it is running on the sidewalk, motorway and bicycle lane, so as to regulate the behavior of the rider and reduce traffic accidents.

[0019] 2. Standardize parking behavior: the camera lane recognition technology can monitor whether the rider is parking on the sidewalk irregularly and give a warning or forcibly slow down and stop when the irregular behavior occurs, effectively improving the city appearance.

[0020] 3. Reduce irregular behavior: the camera lane recognition technology can identify whether the rider is driving on the incorrect surface or in the densely populated area of the sidewalk and take appropriate measures such as automatic speed reduction or alarm to reduce irregular behavior.

[0021] 4. Improve the riding experience of the scooter: through the lane recognition technology, the electric scooter can adjust the speed according to the road conditions to improve the riding experience. BRIEF DESCRIPTION OF DRAWINGS

[0022] Figure 1 The system framework diagram of the camera-based electric scooter lane recognition system of the utility model embodiment.

[0023] Figure 2The utility model discloses an installation structure schematic drawing of electric scooter lane recognition system based on camera. DETAILED DESCRIPTION

[0024] In order to facilitate the understanding of those skilled in the art, the utility model is further explained below in combination with examples and drawings.

[0025] The system of the electric scooter lane recognition system based on camera of the embodiment comprises:

[0026] The camera acquisition module is used for real-time shooting road information and lane marking and processing the collected image, and comprises a camera sensor, an image acquisition interface, an image processing unit and an image transmission interface.

[0027] The lane recognition module is used for real-time analysis of lane marking and road features and information transmission to the display module and the safety warning module.

[0028] The vehicle speed monitoring module is used for monitoring the motion information of the electric scooter and information transmission to the display module and the safety warning module.

[0029] The safety warning module is used for detecting safety hazards and transmitting warning information to the display module when detecting possible dangerous situations.

[0030] The display module is used for displaying road information, motion information and warning information through an instrument, and in the embodiment, the instrument MCU adopts AT32F415.

[0031] The controller is used for rider operation of the scooter, and in the embodiment, the controller MCU adopts LKS32MC083C8T.

[0032] The lane recognition module, the vehicle speed monitoring module and the safety warning module are connected with the camera module acquisition and display module, the lane recognition module and the vehicle speed monitoring module are connected with the safety warning module, and the controller is connected with the display module.

[0033] Reference Figure 1 , Figure 1The working principle diagram of the camera acquisition module of the utility model embodiment, in the embodiment, ISP is selected as the image signal processor, that is, the image processing unit of the utility model embodiment, responsible for preprocessing the original image data collected by the camera, improving the image quality; the software abstraction of the original video stream processed by the ISP is FrameSource, outputting the original video processed by the ISP, FrameSource is connected with IVS, OSD and ALG; IVS is an intelligent video system, used for realizing various intelligent video analysis algorithms, such as face recognition, lane recognition, motion detection and the like, improving the intelligent level of the system, the utility model embodiment selects IVS to simultaneously realize the lane recognition module, the vehicle speed monitoring module and the safety warning module; OSD is a screen display technology, used for displaying characters, graphics and images on a display terminal, superimposing useful information on the video image through OSD, facilitating the user to understand the equipment state in real time; ALG is an application layer gateway, used for managing the traffic of specific application protocols (such as SIP, FTP), ensuring the safety and compliance of data; Encoder is responsible for converting video and audio content into a digital format suitable for transmission and storage, reducing bandwidth occupation, improving transmission efficiency, Encoder is the image transmission interface of the utility model embodiment, IVS, Endoder and ALG are connected with the instrument through SPI communication. The above components work together to realize a complete process from image acquisition, image processing, intelligent analysis, data superposition to efficient transmission, improve the overall performance and user experience of the camera system, the lane recognition function involved in the patent utilizes the IVS lane recognition algorithm to analyze the result and transmit the result to the instrument to display the result IV.

[0034] The camera acquisition module of the embodiment includes one main camera and a plurality of slave cameras, as shown in the figure, Figure 2 The main camera is installed at the head position of the electric scooter and faces forward, so as to capture the image of the road in front. The camera acquisition module adopts the Junzheng T31 image processing chip, which supports all technical functions of the electric scooter lane recognition system, and the camera is connected to the image processing unit of the image processing chip through a data line. The processing of the signal transmitted by the camera sensor in the image processing unit of the image processing chip includes denoising, color correction and sharpening.

[0035] When the safety warning module of the embodiment detects a safety hazard, it can perform safety warning in a voice mode and forcibly adjust the speed of the scooter.

[0036] The electric scooter lane recognition system of the embodiment further includes a steering light, a buzzer, a key and other peripherals, and the peripherals are connected with the display device and the controller. The rider can operate the peripherals through the display of the instrument and the controller.

[0037] The above examples only illustrate the technical thought of the present application, and cannot limit the protection scope of the present application. Any modification made according to the technical thought of the present application on the basis of the technical scheme falls within the protection scope of the present application.

Claims

1. A camera-based electric scooter lane recognition system, characterized in that, The system comprises: a camera acquisition module for real-time shooting of road information and lane markings and processing of the collected images; the camera acquisition module comprises a camera sensor, an image acquisition interface, an image processing unit and an image transmission interface, the camera sensor converts optical signals into electrical signals, the image acquisition interface transmits the electrical signals to the image processing unit, and the image processing unit transmits image data to an external device for display or storage through the image transmission interface; a lane recognition module for transmitting information to a display module and a safety warning module; a vehicle speed monitoring module for monitoring the motion information of the electric scooter and transmitting the information to the display module and the safety warning module; a safety warning module for detecting safety hazards and transmitting warning information to the display module; a display module for displaying road information of the lane recognition module, motion information of the vehicle speed monitoring module and warning information of the safety warning module through an instrument panel; a controller for operation of the scooter by a rider; the lane recognition module, the vehicle speed monitoring module and the safety warning module are connected to the camera module acquisition and display module, the lane recognition module and the vehicle speed monitoring module are connected to the safety warning module, and the controller is in communication connection with the display module.

2. The camera-based electric kick scooter lane identification system of claim 1, wherein, The camera acquisition module comprises one or more cameras, which are installed at the front of the electric scooter.

3. The camera-based electric kick scooter lane identification system of claim 1, wherein, The camera acquisition module adopts a Junzheng T31 image processing chip.

4. The camera-based electric kick scooter lane identification system of claim 1, wherein, The safety warning module comprises a loudspeaker, and the safety warning module is in communication connection with the controller; the safety warning module performs safety warning through the loudspeaker and controls the scooter through communication with the controller.

5. The camera-based electric kick scooter lane identification system of claim 1, wherein, The system further comprises a turn signal, a buzzer and a button, all of which are connected to the display device and the controller.