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Unmanned taxi operation method

An unmanned and taxi technology, applied in the traffic control system of road vehicles, traffic flow detection, instruments, etc., can solve the problems of lack of intelligent analysis and determination of operation routes, redundant use of material resources, and dependence on human completion. , to achieve the effect of strengthening the market application prospects, reducing the waste of manpower, and reducing the redundant use of material resources

Pending Publication Date: 2020-04-21
刘宏隆
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Aiming at the deficiencies of the prior art, the present invention discloses an unmanned taxi operation method, which is used to solve the current taxi operation system, which is basically intercepted on the spot, or booked through the APP order, and the taxi driver accepts the order or Parking and carrying passengers to complete the operation, but the whole process must be completed by a full-time driver, and the operation route also lacks intelligent analysis and judgment, relying on manpower to complete, resulting in waste of manpower and redundant use of material resources

Method used

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Embodiment 1

[0036] This embodiment discloses as figure 1 A driverless taxi operating method shown includes the following steps:

[0037] S1 realizes the centralized processing of passenger car booking through the mobile APP program, and enters the relevant information of passengers;

[0038] After the S2 entry is completed, it is saved as a scheduling task, and the scheduling machine is notified that the new task arrives at the scheduling program, which is intelligently judged by the remote intelligent center;

[0039] S3 When a new scheduling task arrives, the scheduler that currently does not have a scheduled task tries to lock the new task, and the server confirms that the scheduler that operates first locks the task according to the sequence of operations of the scheduler, and returns a confirmation message, then the scheduler The computer starts to schedule the task, and at this time, the specific information corresponding to the task will be displayed on the scheduling machine inte...

Embodiment 2

[0048] In this embodiment, the road detection using machine vision adopts the two-dimensional Otsu method to divide the road image into road areas and non-road areas, and then uses the Canny operator to extract the road edges and perform straight line fitting. Finally, based on the Monte Carlo method, all The posterior confidence of the fitted straight line is evaluated and the road boundaries are finally determined.

[0049] The front vehicle recognition of machine vision is based on the assumption that the histogram distribution of the vehicle area is relatively regular to verify the shadow candidate area at the bottom of the vehicle and eliminate the interference area. The left and right vertical boundaries of the candidate area are extracted through symmetrical scanning and judged. If the width of the left and right boundaries exceeds the vehicle If the pixel width has a certain ratio, the candidate area is determined to be the vehicle area.

[0050] The obstacle detection...

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Abstract

The invention relates to the technical field of unmanned driving, in particular to an unmanned taxi operation method. The method comprises the steps: realizing centralized processing of passenger taxibooking through a mobile phone APP program, and inputting related information of passengers; storing the information as a scheduling task after the input completion, and notifying a scheduler that anew task arrival scheduling program is intelligently judged by a remote-end intelligent center; receiving a scheduling task by an unmanned taxi through a scheduling center; delivering passengers to destinations by utilizing road detection of machine vision, front vehicle identification of machine vision and obstacle detection technology of vehicle-mounted laser radar, completing operation, carrying out communication connection on a scheduling program, a wiring program and a server program by using controls, waiting for the connection request of processing wiring and scheduling end at any time,and entering a next scheduling task. Therefore, problems of manpower waste and redundant use of material resources caused by lack of intelligent analysis and judgment and dependence on manpower completion in the existing taxi operation system and basic operation route are solved.

Description

technical field [0001] The invention relates to the technical field of unmanned driving, in particular to a method for operating an unmanned taxi. Background technique [0002] The advanced driving assistance system is a system that uses sensors such as radar, camera, and ultrasonic to detect the surrounding environment of the vehicle, so as to provide the driver with danger warning. Through the radar sensor, the ADAS system can measure the distance between the front and rear vehicles and itself, and monitor the speed of the surrounding vehicles and itself, so as to realize the functions of collision prevention and blind spot detection. Through camera sensors, ADAS systems can warn drivers of lane departure behavior. Intelligent driving system, also known as unmanned vehicle, is an upgraded version of ADAS system, and it must have all the functions of ADAS system. [0003] The intelligent driving system perceives the surrounding road environment through on-board sensors, a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01G08G1/04G08G1/0967G08G1/0968G06Q10/02G06Q50/30
CPCG08G1/01G08G1/04G08G1/096725G08G1/0968G06Q10/02G06Q50/40
Inventor 刘宏隆
Owner 刘宏隆
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