Parking and stopping vehicle discrimination system

The parking/stopping discrimination system uses algorithms to analyze vehicle data and differentiate between delivery-related parking and temporary stops, addressing the limitations of existing systems and improving delivery information collection.

JP2025095475AActive Publication Date: 2025-06-26DIGITAL LAGOON CO LTD
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Patent Information

Application Number
JP2023211499
Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
Filing Date
2023-12-14
Publication Date
2025-06-26
Estimated Expiration
2043-12-14

AI Technical Summary

Technical Problem

Existing systems, such as the road surface diagnosis device in Patent Document 1, cannot accurately determine whether a vehicle's stop is for parking accompanied by getting out for delivery or a temporary stop without getting out, such as at a red light.

Method used

A parking/stopping discrimination system that uses an arithmetic device with first and second algorithms to analyze measurement data including position, speed, and image data for stop determination, and acceleration, vibration, and inclination data for state discrimination, to differentiate between parking and temporary stops.

Benefits of technology

The system effectively discriminates between parking and temporary stops by analyzing specific data patterns, allowing for accurate determination of delivery-related stops and enhancing the collection of detailed delivery information.

✦ Generated by Eureka AI based on patent content.

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Abstract

To provide a parking and stopping vehicle discrimination system that automatically discriminates whether a vehicle is stopping for a delivery with a driver leaving the vehicle, or for a temporary stop for a red light and the like without the driver leaving the vehicle.SOLUTION: A parking and stopping vehicle discrimination system comprises a computing device. The computing device comprises a first algorithm and a second algorithm. The first algorithm determines that a vehicle has stopped when one or more of the following conditions are satisfied: when no change in positional information occurs for a predetermined time, when there is 0 velocity for the predetermined time, and when no change in image data occurs for a predetermined time; and during the continuation of the stop determination by the first algorithm, the second algorithm determines that the vehicle is in a parking state with a driver leaving when one or more of the following conditions are satisfied: when acceleration 0 continues for the predetermined time, when vibration 0 continues for the predetermined time, and when there is no change in slope data for the predetermined time.SELECTED DRAWING: Figure 1
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Description

Technical Field

[0001] The present disclosure relates to a parking and stopping discrimination system.

Background Art

[0002] The infection of the novel coronavirus has spread explosively, and going out has been restricted to suppress the infection. Therefore, conventional restaurants (the food service industry) have expanded into delivery services, and the delivery service has expanded rapidly. Along with this, delivery providers (delivery platforms) have thrived.

[0003] Restaurants want to collect information related to delivery, but the information related to delivery disclosed from the delivery platform to the restaurant is limited. Therefore, in order for restaurants to collect information related to delivery independently, it is conceivable to attach a GPS receiver to the vehicle for delivery and automatically collect the position information of the vehicle.

[0004] Here, the delivery person parks the vehicle near the destination, leaves the vehicle (gets out of the vehicle), brings the ordered food and drinks to the destination, and completes the delivery. However, the vehicle stops even at a red light or the like. It has been difficult to discriminate whether the stop of the vehicle is a parking accompanied by getting out of the vehicle for delivery or a temporary stop without getting out of the vehicle for a red light or the like only based on the position information from the GPS receiver.

Prior Art Documents

Patent Documents

[0005]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0006] The road surface diagnosis device described in Patent Document 1 determines the deterioration state of the road surface in a road section collected from a moving body (vehicle). However, it was unable to determine whether the stop of the moving body was a parking accompanied by getting out of the vehicle for delivery or a temporary stop without getting out of the vehicle for a red light or the like.

[0007] The present disclosure has been made in view of the above actual situation, and an object of the present disclosure is to provide a parking / stopping discrimination system that automatically discriminates whether the stop of a vehicle is a parking accompanied by getting out of the vehicle for delivery or a temporary stop without getting out of the vehicle for a red light or the like.

Means for Solving the Problems

[0008] One aspect of the present disclosure is a parking / stopping discrimination system that discriminates whether the stop of a vehicle is a stopping state without getting out of the vehicle or a parking state with getting out of the vehicle, comprising an arithmetic device, the arithmetic device includes a first algorithm and a second algorithm, and receives measurement data regarding the motion state of the vehicle, the measurement data includes the stop determination data of the vehicle and the stop state / parking state discrimination data of the vehicle, the stop determination data includes one or more selected from the position information of the vehicle, the speed data of the vehicle, and the traveling image data of the vehicle, or the stop state / parking state discrimination data includes one or more selected from the acceleration data of the vehicle, the vibration data of the vehicle, and the inclination data of the vehicle, the first algorithm determines that the vehicle has stopped when one or more of the following cases apply: when there is no change in the position information for a predetermined time when the stop determination data includes the position information; when the speed is 0 for a predetermined time when the stop determination data includes the speed data; and when there is no change in the traveling image data for a predetermined time when the stop determination data includes the traveling image data. During the continuation of the stop determination by the first algorithm, when the second algorithm determines that the stop state / parking state discrimination data includes the acceleration data, if the acceleration is 0 for a predetermined time; when the stop state / parking state discrimination data includes the vibration data, if the vibration is 0 for a predetermined time; and when the stop state / parking state discrimination data includes the inclination data, if there is no change in the inclination data for a predetermined time, and one or more of these cases are satisfied, it is determined as a parking state accompanied by getting out of the vehicle. The present invention relates to a parking / stopping discrimination system characterized by this.

[0009] If the delivery person is in the vehicle, they perform some operation such as maintaining the balance of the vehicle or themselves, and there are fluctuations in the vibration and inclination of the vehicle. On the other hand, when getting out of the vehicle, there are no fluctuations in the vibration and inclination of the vehicle caused by the delivery person, and the vehicle continues to be in a state of acceleration 0, vibration 0, or no change in the inclination data. Therefore, by using such a parking / stopping discrimination system, it is possible to automatically discriminate whether the stop of the vehicle is a parking accompanied by getting out of the vehicle for delivery or a temporary stop without getting out of the vehicle for other reasons such as a red light.

[0010] In one aspect of the present disclosure, The measurement data includes the position information, The arithmetic unit may store the position information when the second algorithm determines a parking state accompanied by getting out of the vehicle.

[0011] Thereby, more detailed information regarding delivery can be automatically collected.

Brief Description of the Drawings

[0012]

Figure 1

Modes for Carrying Out the Invention

[0013] Hereinafter, preferred embodiments of the present disclosure will be described in detail. Note that the embodiments described below do not unduly limit the content of the present disclosure described in the claims, and not all of the configurations described in the embodiments are necessarily essential as the solution means of the present disclosure.

[0014] (1) Parking and Stopping Discrimination System 10 FIG. 1 shows the parking and stopping discrimination system 10 of the present embodiment.

[0015] The parking and stopping discrimination system 10 of the present embodiment includes an arithmetic unit 11. The arithmetic unit 11 includes a first algorithm and a second algorithm, and receives measurement data related to the motion state of the vehicle 12. The measurement data includes data for stopping determination of the vehicle 12 and data for discriminating the stopped state / parked state of the vehicle 12. The data for stopping determination includes one or more selected from the position information of the vehicle 12, the speed data of the vehicle 12, and the running image data of the vehicle 12. The data for discriminating the stopped state / parked state includes one or more selected from the acceleration data of the vehicle 12, the vibration data of the vehicle 12, and the inclination data of the vehicle 12. The first algorithm determines that the vehicle 12 has stopped when one or more of the following cases apply: when the data for stopping determination includes position information and there is no change in the position information for a predetermined time; when the data for stopping determination includes speed data and the speed is 0 for a predetermined time; and when the data for stopping determination includes running image data and there is no change in the running image data for a predetermined time. During the continuation of the stop determination by the first algorithm, the second algorithm determines that the vehicle is in a parked state accompanied by getting out of the vehicle when one or more of the following cases apply: when the data for discriminating the stopped state / parked state includes acceleration data and the acceleration is 0 for a predetermined time; when the data for discriminating the stopped state / parked state includes vibration data and the vibration is 0 for a predetermined time; and when the data for discriminating the stopped state / parked state includes inclination data and there is no change in the inclination data for a predetermined time.

[0016] If the delivery person is in the vehicle 12, they perform some actions such as maintaining the balance of the vehicle 12 or themselves. As a result, vibrations and tilting changes occur in the vehicle 12. However, when the delivery person gets out of the vehicle, the vibrations and tilting fluctuations of the vehicle 12 caused by the delivery person disappear, and the vehicle 12 continues to be in a state with zero acceleration, zero vibration, and no change in tilting data. Therefore, by using such a parking discrimination system 10, it is possible to automatically discriminate whether the stop of the vehicle 12 is a parking accompanied by getting out of the vehicle for delivery or a temporary stop without getting out of the vehicle for other reasons such as a red light. If the vehicle 12 is equipped with an engine, if the delivery person does not stop the engine when getting out of the vehicle, it is conceivable that vibrations due to idling will remain. In this case, idling data in the absence of the delivery person can be collected in advance, and the data for discriminating the stopped state / parked state with the idling component canceled can be used for discriminating the stopped state / parked state.

[0017] The duration (predetermined time) of no change in position information, zero speed, or no change in driving image data for the first algorithm to determine that the vehicle 12 has stopped is not particularly limited as long as the determination is possible. For example, it can be 10 seconds, preferably 5 seconds, and more preferably 3 seconds. When the data for stop determination includes two or three types selected from the position information of the vehicle 12, the speed data of the vehicle 12, and the driving image data of the vehicle 12, the stop determination of the vehicle 12 by the first algorithm may adopt any one of them, or may adopt the case where two or more stop determinations are satisfied.

[0018] The duration (predetermined time) of no change in acceleration, zero vibration, or no change in tilting data for the second algorithm to determine a parked state accompanied by getting out of the vehicle is not particularly limited as long as the determination is possible. For example, it can be 10 seconds, preferably 5 seconds, and more preferably 3 seconds. When the data for discriminating the stopped state / parked state includes two or three types selected from the acceleration data of the vehicle 12, the vibration data of the vehicle 12, and the tilting data of the vehicle 12, the determination of the parked state by the second algorithm may adopt any one of them, or may adopt the case where two or more parked state determinations are satisfied.

[0019] In the parking and stopping determination system 10 of the present embodiment, the measurement data includes the position information of the vehicle 12, and the arithmetic unit 11 may store the position information when the second algorithm determines a parking state accompanied by getting out of the vehicle.

[0020] Thereby, more detailed information regarding delivery can be automatically collected.

[0021] (2) Vehicle 12 The type of the vehicle 12 and the number of wheels are not particularly limited. Examples of vehicles 12 suitable for delivery include the following. · Examples of vehicles 12 with one wheel: Electric unicycles · Examples of vehicles 12 with two wheels: Bicycles, electric bicycles, scooters, electric scooters, electric kick scooters, motorcycles, electric motorcycles, etc. · Examples of vehicles 12 with three wheels: Three-wheel scooters, electric three-wheel scooters, three-wheel automobiles, electric three-wheel automobiles, etc. · Examples of vehicles 12 with four wheels: Four-wheel scooters, electric four-wheel scooters, mini cars under the Road Traffic Law, automobiles, electric automobiles, etc.

[0022] As the vehicle 12 capable of measuring the actions of the delivery person as fluctuations in the vibration or inclination of the vehicle 12, those with two wheels are preferable. Among those with three or more wheels, relatively lightweight three-wheel scooters, electric three-wheel scooters, four-wheel scooters, electric four-wheel scooters, mini cars under the Road Traffic Law, etc. are preferable because they are easily affected by the actions of the delivery person.

[0023] The vehicle 12 is provided with sensors for measuring data for stop determination. Examples of the types of sensors include GPS receivers, speedometers, image sensors, etc., and one type or two or more types may be used, and they may also be used for other purposes. The measured position information of the vehicle 12, speed data of the vehicle 12, running image data of the vehicle 12, etc. are transmitted to the arithmetic unit 11 as measurement data.

[0024] Vehicle 12 is equipped with sensors for measuring data for determining the stopped state / parked state. When the delivery person is in the vehicle during a stop of the vehicle 12, the delivery person performs some action such as maintaining the balance of the vehicle 12 or themselves, causing vibrations and fluctuations in inclination to occur in the vehicle 12. Therefore, examples of the types of these sensors include an acceleration sensor, a vibration sensor, a gyro sensor, or an inclination sensor, etc., and one type or two or more types may be used, and they may also be used for other purposes. In the case of an acceleration sensor, a uniaxial acceleration sensor or a triaxial acceleration sensor may be used as long as it can measure the vibrations of the vehicle 12 due to the actions of the delivery person. The measured acceleration data or inclination data, etc. is transmitted to the arithmetic unit 11 as measurement data.

[0025] The method of transmitting the measurement data from the vehicle 12 to the arithmetic unit 11 is not particularly limited as long as it is transmissible. For example, an existing telecommunication line may be used, or direct communication may be performed.

[0026] Although the above-described embodiment has been described in detail as above, it will be easily understood by those skilled in the art that many modifications are possible without substantially departing from the novel matters and effects of the present disclosure. Therefore, all such modified examples are included in the scope of the present disclosure. For example, in the specification or the drawings, a term described at least once together with a broader or synonymous different term can be replaced with that different term at any place in the specification. Also, the configuration of this embodiment is not limited to that described in this embodiment, and various modifications are possible.

Explanation of Reference Numerals

[0027] 10 Parking and Stopping Discrimination System, 11 Arithmetic Unit, 12 Vehicle

Claims

1. A parking / stopping discrimination system that discriminates whether the vehicle is in a stopped state without alighting or a parked state with alighting, comprising an arithmetic unit, wherein the arithmetic unit comprises a first algorithm and a second algorithm, and receives measurement data regarding the motion state of the vehicle, the measurement data comprising the vehicle stop determination data and the vehicle stop state / parking state discrimination data, the stop determination data comprising one or more selected from the vehicle position information, the vehicle speed data, and the vehicle running image data, the stop state / parking state discrimination data comprising one or more selected from the vehicle acceleration data, the vehicle vibration data, and the vehicle inclination data, when the stop determination data comprises the position information, the first algorithm determines that the vehicle has stopped when one or more of the following cases apply: when there is no change in the position information for a predetermined time; when the speed is 0 for a predetermined time if the stop determination data comprises the speed data; and when there is no change in the running image data for a predetermined time if the stop determination data comprises the running image data, during the continuation of the stop determination by the first algorithm, when the stop state / parking state discrimination data comprises the acceleration data, the second algorithm determines that it is a parked state with alighting when one or more of the following cases apply: when the acceleration is 0 for a predetermined time; when the vibration is 0 for a predetermined time if the stop state / parking state discrimination data comprises the vibration data; and when there is no change in the inclination data for a predetermined time if the stop state / parking state discrimination data comprises the inclination data. A parking / stopping discrimination system characterized by this.

2. In the parking / stopping discrimination system according to Claim 1, the measurement data comprises the position information, and the arithmetic unit stores the position information when the second algorithm determines that it is a parked state with alighting. A parking / stopping discrimination system characterized by this.

Citation Information

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