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A method and system for predicting the danger level of pedestrians around a vehicle

A technology of hazard level and prediction method, which is applied in the direction of road vehicle traffic control system, prediction, collision avoidance system, etc., can solve the problems of limited applicable scenarios, poor predictability, and strong subjectivity, so as to avoid uncertainty and shorten the The effect of forecasting time and reducing computing costs

Active Publication Date: 2022-02-11
BEIJING INSTITUTE OF TECHNOLOGYGY +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to solve the problems of high computational cost, poor predictability, strong subjectivity, and limited applicable scenarios in the prior art of pedestrian danger level prediction

Method used

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  • A method and system for predicting the danger level of pedestrians around a vehicle
  • A method and system for predicting the danger level of pedestrians around a vehicle

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Embodiment 1

[0042] This embodiment discloses the preferred embodiments of the present invention are described in detail below in conjunction with the accompanying drawings, wherein, the accompanying drawings constitute a part of the application and together with the embodiments of the present invention are used to explain the principles of the present invention and are not intended to limit the scope of the present invention scope.

[0043] Example 1

[0044] like figure 1 As shown, this embodiment provides a method for predicting the danger level of pedestrians around the vehicle, including two parts: offline danger level predictor training and online danger level prediction. like figure 1 It is a schematic flow chart of the method described in this embodiment.

[0045] Among them, the offline danger level predictor training includes the following steps:

[0046] Step S1101, using the on-board sensor to collect the surrounding environment information from the first perspective of the...

Embodiment 2

[0068] like figure 2 As shown, this embodiment provides a system for predicting the danger level of pedestrians around the vehicle, which includes an offline danger level predictor training part and an online danger level prediction part.

[0069] Among them, the offline training part includes the online collection module of vehicle peripheral information, the pedestrian characteristic parameter extraction module, the pedestrian trajectory fitting training module, and the pedestrian danger level recognition training module.

[0070] The vehicle surrounding information collection module is used to collect the surrounding environment information from the first perspective of the vehicle.

[0071] Specifically, through an image acquisition device, such as an on-board camera installed at the front windshield of the vehicle, image information around the vehicle is collected; through a lidar installed on the top of the vehicle, 3D point cloud information around the vehicle is colle...

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Abstract

The invention discloses a method and system for predicting the danger level of pedestrians around a vehicle, belonging to the technical field of active safety of intelligent vehicles. The present invention predicts pedestrian trajectories based on vehicle first-view data, uses data-driven time series network modeling to realize long-term trajectory prediction, reduces computing costs, and shortens the duration of prediction; the hazard level recognizer based on cluster analysis and classifiers can The characteristic parameters identify the pedestrian danger level, avoiding the uncertainty caused by artificially dividing the parameter range to determine the danger level; predict the pedestrian movement trajectory according to the pedestrian trajectory fitting device obtained through training, extract the pedestrian characteristic parameter set, and input the parameter set into In the trained pedestrian danger level recognizer, the pedestrian danger level is predicted. The invention helps to understand the behavior intentions of surrounding pedestrians during driving, estimates the collision risk of pedestrians and vehicles, provides a basis for adjusting driving strategies, avoids driving risks, and improves driving safety.

Description

technical field [0001] The invention belongs to the technical field of active safety of intelligent vehicles, and in particular relates to a method and system for predicting the danger level of pedestrians around the vehicle. Background technique [0002] In recent years, pedestrian safety has gained more and more attention in the field of intelligent vehicles. Intelligent vehicles need timely perception and danger prediction of pedestrians on the road to avoid possible collisions. [0003] At present, the detection method of pedestrian danger mainly calculates the collision time or collision area of ​​pedestrians relative to the driving vehicle through the method of complex dynamic fitting, and then manually performs different collision time or collision area by safety system designers. Classification of danger levels to determine the degree of danger of pedestrians. For the calculation of pedestrian collision time or collision area through complex dynamic models, there a...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V40/10G06V40/20G06V10/774G06V10/764G06V10/762G06K9/62G06N3/04G06T7/20G08B21/18G08G1/16B60W30/095G06Q10/04G06Q10/06
CPCB60W30/095G06T7/20G08B21/182G08G1/166G06T2207/30252G06T2207/30241G06T2207/10028G06V20/56G06N3/045G06F18/23213G06F18/214
Inventor 吕超张哲雨张钊陆军琰徐优志龚建伟
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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