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Method for restoring road traffic scene and driver driving behavior based on multi-sensor data

A road traffic, multi-sensing technology, applied in scene recognition, transportation and packaging, computer parts, etc., can solve the problems of low restoration accuracy and single data source, and achieve the effect of improving the accuracy and real-time performance of attitude calculation

Active Publication Date: 2017-10-10
创客天下(北京)科技发展有限公司
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AI Technical Summary

Problems solved by technology

To overcome the defects of single data source of existing restoration technology, relying on expensive equipment to obtain high-quality data, and low restoration accuracy, and provide a restoration method based on multi-sensor data to realize road traffic scenes and driver driving behavior

Method used

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  • Method for restoring road traffic scene and driver driving behavior based on multi-sensor data
  • Method for restoring road traffic scene and driver driving behavior based on multi-sensor data
  • Method for restoring road traffic scene and driver driving behavior based on multi-sensor data

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Embodiment Construction

[0046] like figure 1 As shown, in the driving process, the driver makes a series of operations based on the surrounding traffic conditions at that time, such as the movement status of the surrounding main traffic participants, traffic signs, traffic lights, weather conditions, road conditions, etc. The function of the present invention mainly lies in: based on multi-sensor data such as CAN bus, OBD, gyroscope, accelerometer, GPS / BD, millimeter-wave radar and monocular camera, realize the restoration of the road traffic scene outside the vehicle and the restoration of the driver's driving behavior , forming a data pair. The traffic scene mainly includes: the types of various traffic participants around the vehicle, such as pedestrians, vehicles, cyclists, and traffic signs; the status of traffic participants, such as the distance and relative speed of moving objects, road topology information, and traffic signs . The driver's driving behavior mainly includes: the driver's sp...

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Abstract

The invention provides a method for restoring a road traffic scene and a driver driving behavior based on multi-sensor data. Through the multi-sensor data and multi-restoration algorithm fusion, precise restoration of the road traffic scene and the driver driving behavior is realized. The method for restoring the road traffic scene and the driver driving behavior based on the multi-sensor data particularly comprises the steps that the precise restoration of a vehicle running track is realized by mutual calibrating of multi-source data; precise measuring of the speed and distance of a barrier is realized on the basis of single-camera vision and a millimeter-wave radar; and the multi-source data fusion generation is smaller than the road traffic scene, and the driving behavior is greater than data pairs. According to the method for restoring the road traffic scene and the driver driving behavior based on the multi-sensor data, the defects that the data source in the prior restoration art is singular, high quality data is obtained relying on expensive equipment, and restoration precision is low are overcome.

Description

technical field [0001] The invention belongs to the field of intelligent transportation and image recognition, in particular to a method for restoring road traffic scenes and drivers' driving behavior based on multi-sensing data. Background technique [0002] For a car to be truly self-driving, it must be able to sense and recognize objects around it, and know exactly where it is. Both aspects are at the heart of self-driving technology. The driver’s series of driving behaviors are based on the traffic environment at that time. Whether it is research on automatic driving algorithms or assisting the driver in driving, the driver senses the surrounding environment at any time during the driving process, collects data, and conducts static and dynamic Object identification, detection and tracking, combined with navigator map data for systematic calculation and analysis, are all very important. [0003] In the mainstream unmanned driving research and development technology at t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B60W40/09B60W50/00G06K9/00
CPCB60W40/09B60W50/00B60W2050/0043B60W2555/60B60W2554/00G06V20/588G06V20/582G06V20/58G06V20/584G06V20/597
Inventor 黄坚金玉辉郭袭金天
Owner 创客天下(北京)科技发展有限公司
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