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CN-121982815-A - Animal intrusion early warning and driving-away method and system for vehicle and vehicle

CN121982815ACN 121982815 ACN121982815 ACN 121982815ACN-121982815-A

Abstract

The animal intrusion early warning and expelling method for the vehicle comprises the steps of identifying whether an animal approaches or intrudes into a hidden space of the vehicle through environment data of the vehicle periphery obtained in real time, wherein the environment data comprise visual images, heat radiation signals, audio data and motion characteristics, performing risk assessment according to the detention state of the animal and the relative position of the animal and the vehicle if the environment data exist, generating a risk grade corresponding to a preset risk grade table, triggering active intervention measures matched with the risk grade according to the risk grade, and the intensity of the triggered active intervention measures is correspondingly enhanced if the risk grade is higher. The problems that the vehicle lacks reliable sensing and active intervention capability for the invasion of the animals in the hidden space are solved by establishing a flow of multi-source sensing, risk assessment and hierarchical intervention. The passive alarm is changed into active protection, so that early warning and accurate response protection effects are realized, and risks of animal injury and vehicle damage are avoided.

Inventors

  • CHEN JIE

Assignees

  • 岚图汽车科技股份有限公司

Dates

Publication Date
20260505
Application Date
20260126

Claims (10)

  1. 1. An animal intrusion early warning and expelling method for a vehicle, comprising: Identifying whether an animal approaches or invades a vehicle hidden space or not through environment data of the vehicle periphery obtained in real time, wherein the environment data comprises visual images, heat radiation signals, audio data and motion characteristics; if the behavior exists, performing risk assessment according to the detention state of the animal and the relative position of the animal and the vehicle, and generating a risk grade corresponding to a preset risk grade table; and triggering the active intervention measures matched with the risk level according to the risk level, wherein the higher the risk level is, the higher the intensity of the active intervention measures is correspondingly enhanced.
  2. 2. The animal intrusion early warning and expelling method for a vehicle according to claim 1, wherein the act of identifying whether an animal approaches or intrudes into a hidden space of the vehicle is performed by acquiring environmental data of a vehicle peripheral side in real time, comprising the steps of: Based on the unified time stamp, aligning the visual image, the thermal radiation signal, the audio data and the motion characteristics, and constructing a comprehensive behavior track with time continuity; and when at least two environmental data are in a preset time window and indicate that the characteristics matched with a preset animal behavior characteristic library exist, judging that the behaviors exist.
  3. 3. The method of claim 2, wherein the environmental data corresponds to an indication of the presence of a feature matching a library of predetermined animal behavioral characteristics, comprising the steps of: The heat radiation signal detects a mobile heat source positioned between the body temperature regions of the small-sized warm-blooded animals; The visual image identifies a moving target with animal morphological characteristics; The audio data capture sound waves conforming to the sound spectrum characteristics of animal sounds or moving friction; the motion feature detects the presence of a sustained jog under the vehicle chassis caused by non-environmental factors.
  4. 4. The method for early warning and expelling an animal intrusion for a vehicle according to claim 1, wherein the preset risk level table includes three risk levels, including: The low-level early warning corresponds to the movement of the animal in a preset warning range on the periphery of the vehicle, but does not enter the area below the chassis of the vehicle; A medium-level alarm corresponding to the animal entering the area under the chassis of the vehicle, and a high-level alarm corresponding to the animal entering the engine compartment or the closed space inside the body frame and being in a detained state.
  5. 5. The method of claim 4, wherein an active intervention matched to the risk level is triggered, comprising the steps of: triggering preventive measures aiming at preventing animals from approaching when the risk level is the low-level early warning, wherein the preventive measures comprise starting a sound wave generator with specific frequency and releasing the aversive odor of the target animals; When the risk level is the medium-level alarm or the high-level alarm, an active driving-out measure aiming at promoting the invaded animal to leave is triggered, wherein the active driving-out measure comprises the steps of starting a vehicle cooling fan, linking a vehicle-mounted sound system to play a driving-out sound effect and sending an alarm notice of the corresponding risk level to a user terminal.
  6. 6. The method of claim 5, further comprising a safety self-test strategy when the vehicle is started, comprising the steps of: When the vehicle is started, performing system self-checking, if the current risk level is the middle-level alarm or the high-level alarm, displaying forced prompt information on a vehicle instrument panel, and continuously triggering active driving measures and failing to start the vehicle until the current risk level is not the middle-level alarm or the high-level alarm.
  7. 7. The method of claim 5, further comprising an intervention feedback strategy comprising the steps of: After the active intervention measures are executed, continuing to monitor the behavior change of the target animal; If the target animal leaves, the alarm is released and an event log containing time, animal type and intervention measures is generated; And triggering emergency intervention measures if the target animal remains after the preset time, wherein the emergency intervention measures comprise continuously enhancing the heat dissipation temperature and the driving sound effect in the active driving measures until the current risk level is not the medium-level alarm and the high-level alarm.
  8. 8. The method for early warning and expelling an animal intrusion for a vehicle of claim 7, further comprising a cloud co-optimization strategy comprising the steps of: uploading the event log generated by the vehicle end, the environment data and the validity data of the corresponding measures to a cloud server, wherein the measures comprise preventive measures, active driving-away measures and emergency intervention measures; The cloud server updates a feature matching threshold value in the preset animal behavior feature library through a machine learning model based on data from a plurality of vehicles, and optimizes judging conditions about the relative positions and the retention states of animals in the preset risk level table; and issuing the updated preset animal behavior feature library or the optimized preset risk level table to a vehicle end to replace or supplement local original data.
  9. 9. An animal intrusion early warning and expelling system for a vehicle, comprising: the monitoring module is used for identifying whether an animal approaches or invades a vehicle concealed space or not through environment data of the vehicle periphery obtained in real time, wherein the environment data comprises visual images, thermal radiation signals, audio data and motion characteristics; The judging module is used for carrying out risk assessment according to the detention state of the animal and the relative position of the animal and the vehicle if the behavior exists, and generating a risk level corresponding to a preset risk level table; and the execution module is used for triggering the active intervention measures matched with the risk level according to the risk level, wherein the higher the risk level is, the higher the intensity of the active intervention measures is correspondingly enhanced.
  10. 10. A vehicle employing the animal intrusion early warning and dislodging method for vehicles of claims 1-8.

Description

Animal intrusion early warning and driving-away method and system for vehicle and vehicle Technical Field The application relates to the technical field of vehicle safety, in particular to an animal invasion early warning and driving-away method and system for a vehicle and the vehicle. Background With the continuous improvement of the intelligent level of automobiles, the safety protection category of the automobiles is gradually expanded from the traditional driving safety to the comprehensive static and dynamic safety. Under the background, intelligent and unattended risk sensing and active protection are carried out on the hidden space in the parking state, so that potential risks are prevented, property loss is avoided, and humanity care is reflected; currently, there are some prior art solutions related to animal detection or driving-off. For example, some schemes focus on the identification and displacement of animals in front of a road during the running process of a vehicle, and ensure the running safety through visual perception, audible and visual prompts and other modes. Other solutions attempt to detect the intrusion of an animal in the engine compartment by means of a simple mechanical vibration sensor and to alert the user when triggered, but these have the following drawbacks: The former is mainly aimed at large animals which are visible outside the vehicle, and the sensor of the large animals does not work normally when the vehicle is stationary, so that small life bodies which are immersed in hidden spaces such as a vehicle chassis and an engine room cannot be effectively detected. The latter is easy to be disturbed and has high false alarm rate due to the dependence on a single sensor, and the functions are limited to post alarm, so that the responsibility of risk disposal is completely given to users due to the lack of effective active intervention means. Disclosure of Invention The application provides an animal invasion early warning and driving-away method and system for a vehicle and the vehicle, which solve the technical problems that the existing vehicle lacks effective sensing and active intervention capability for small animals entering into a hidden space such as an engine cabin and a chassis, so that the vehicle is easy to damage the animals when being started, and the vehicle is damaged or driving safety risk is caused. In a first aspect, the embodiment of the application provides an animal intrusion early warning and driving-off method for a vehicle, which comprises the steps of identifying whether an animal approaches or intrudes into a hidden space of the vehicle or not through environment data of the vehicle periphery obtained in real time, wherein the environment data comprises visual images, heat radiation signals, audio data and motion characteristics; If the behavior exists, performing risk assessment according to the detention state of the animal and the relative position of the animal and the vehicle, and generating a risk level corresponding to a preset risk level table; And triggering the active intervention measures matched with the risk level according to the risk level, wherein the higher the risk level is, the higher the intensity of the triggered active intervention measures is correspondingly enhanced. With reference to the first aspect, in one embodiment, by acquiring environmental data of a vehicle surrounding side in real time, the method identifies whether an animal is approaching or intrudes into a hidden space of the vehicle, and includes the following steps: based on the unified time stamp alignment visual image, heat radiation signal, audio data and motion characteristics, constructing a comprehensive behavior track with time continuity; And when at least two environmental data are in a preset time window and indicate that the characteristics matched with the preset animal behavior characteristic library exist, judging that behaviors exist. With reference to the first aspect, in one embodiment, the environmental data corresponds to an indication that there is a feature matching a library of preset animal behavioral features, comprising the steps of: detecting a mobile heat source in a body temperature interval of the small-sized isothermal animal by using the thermal radiation signal; identifying a moving target with animal morphological characteristics by using the visual image; the audio data capture sound waves conforming to the sound spectrum characteristics of animal sounds or moving friction; the motion characteristics detect the presence of sustained micro-motion under the vehicle chassis caused by non-environmental factors. With reference to the first aspect, in an implementation manner, the preset risk level table includes three levels of risk levels, including: The low-level early warning corresponds to the movement of the animal in a preset warning range on the periphery of the vehicle, but does not enter the area below the chassis of the v