Driving behavior analysis method and system

A behavior analysis and model technology, applied in the field of driving behavior analysis methods and systems

Active Publication Date: 2018-07-24
TSINGHUA UNIV
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  • Abstract
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Problems solved by technology

And these systems rarely pay attention to the driving behavior of the driver himself

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  • Driving behavior analysis method and system
  • Driving behavior analysis method and system
  • Driving behavior analysis method and system

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Embodiment Construction

[0024] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0025] Deep learning is a machine learning technology that has emerged in recent years, and it has been widely used in object detection and speech recognition. Moreover, deep learning has achieved great success in the fields of object detection, natural language processing, and machine translation, especially in the field of machine vision. The current deep learning network has been able to complete a series of object detection, tracking, and semantic processin...

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Abstract

The invention provides a driving behavior analysis method and system. The method comprises the following steps of receiving a real-time road condition image sent by vehicle-mounted equipment, using aCNN model to identify the real-time road condition image, and acquiring an object type in the real-time road condition image; and using an LSTM model to carry out semantic prediction on the object type and outputting corresponding prompt information. In the invention, semantic identification can be performed on the road condition image sent by the vehicle-mounted equipment so as to prompt a driverto drive cautiously.

Description

technical field [0001] The invention relates to the technical field of deep learning networks, in particular to a driving behavior analysis method and system. Background technique [0002] More and more people own cars in modern society. While cars bring convenience to people's travel, traffic accidents also occur from time to time, often resulting in serious loss of life and property. The driver's driving behavior directly affects driving safety. Good driving behavior can not only reduce the incidence of traffic accidents, but also reduce driving risks. Accurately evaluating the driver's driving behavior has become a very important topic. The driver's driving behavior is affected by many factors, such as the number of vehicles and pedestrians on the road, the situation of deviation from the lane line, weather conditions, vehicle speed and distance between vehicles, etc. Accurately capturing and extracting these factors that affect driving behavior is the key to evaluating d...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62B60Q9/00
CPCB60Q9/008G06V20/56G06F18/24G06F18/214
Inventor 尹首一段金金欧阳鹏刘雷波魏少军
Owner TSINGHUA UNIV
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