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Vehicle and pedestrian collision avoidance method based on edge computing

An edge computing and collision avoidance technology, applied in the field of the Internet of Things, can solve problems such as high system delay, difficulty in determining, rough pedestrian and vehicle position prediction algorithms, etc.

Inactive Publication Date: 2020-08-04
KUNMING UNIV OF SCI & TECH
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AI Technical Summary

Problems solved by technology

In this technical solution, a remote cloud server is used as an intermediate server to indirectly realize the communication between vehicles and pedestrians, which overcomes the limitation of line-of-sight, but its system delay is high and difficult to determine, which is extremely sensitive to delay for pedestrian safety algorithm programs. It is undoubtedly a fatal flaw; moreover, the pedestrian and vehicle position prediction algorithms in this technical solution are extremely rough, and in most cases, all the positions where pedestrians and vehicles may appear at the same time will be classified as unsafe areas, and the probability of false alarms is low. high

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  • Vehicle and pedestrian collision avoidance method based on edge computing
  • Vehicle and pedestrian collision avoidance method based on edge computing
  • Vehicle and pedestrian collision avoidance method based on edge computing

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Embodiment

[0108] A vehicle-pedestrian collision avoidance method based on edge computing, such as figure 1 shown, including the following steps:

[0109] Step1: Establish a network model for pedestrian device-to-vehicle communication: arrange roadside units (RSU) / base stations at intersections or road edges, and mobile edge computing (MEC) servers connected to the roadside units (RSU) / base stations. The pedestrian device is a smart phone with a GPS module, and the pedestrian device and the vehicle can communicate within the coverage of the network model;

[0110] In this mode, the MEC server can be connected to the roadside unit (RSU) / base station, the vehicle communicates with the RSU / base station through LTE-V2X, and the pedestrian communicates with the RSU / base station through a smartphone; computing tasks can be performed in the vehicle Or on the MEC server; such a system not only utilizes the resources of the vehicle in the traditional Internet of Vehicles, but also relieves the p...

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Abstract

The invention discloses a vehicle and pedestrian collision avoidance method based on edge computing, and belongs to the field of Internet of Things. In an edge computing environment, communication between a vehicle and pedestrian equipment is realized through an edge server, communication delay is reduced, kalman filtering is adopted to predict the position of the vehicle, and the track of a pedestrian is predicted by using a sensor on the pedestrian equipment, so that restriction of line of sight is overcome, the collision detection precision is improved, and the method is suitable for most non-line-of-sight (NLOS) scenes. In addition, a collision risk model based on the time to collision (TTC) is established according to the relative motion relationship between the vehicle and the pedestrian. The simulation result shows that the collision avoidance algorithm provided by the invention can effectively reduce the collision risk of the vehicle and the pedestrian.

Description

technical field [0001] The invention relates to the technical field of the Internet of Things, in particular to a vehicle and pedestrian collision avoidance method based on edge computing. Background technique [0002] In 2017, Hassan Artail proposed a solution for pedestrian and vehicle communication using cellular technology in the article Avoiding car-pedestrian collisions using a VANETto cellular communication framework, so as to detect possible vehicle-pedestrian collisions. In this technical solution, a remote cloud server is used as an intermediate server to indirectly realize the communication between vehicles and pedestrians, which overcomes the limitation of line-of-sight, but its system delay is high and difficult to determine, which is extremely sensitive to delay for pedestrian safety algorithm programs. It is undoubtedly a fatal flaw; moreover, the pedestrian and vehicle position prediction algorithms in this technical solution are extremely rough, and in most ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/16H04W4/02H04W4/44H04W24/06
CPCG08G1/164H04W4/44H04W4/02H04W24/06
Inventor 冯勇李宇桐
Owner KUNMING UNIV OF SCI & TECH
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