Unlock instant, AI-driven research and patent intelligence for your innovation.

Method for determining the type of road on which a vehicle is travelling

A road type and vehicle driving technology, which is applied in the direction of instruments, character and pattern recognition, computer components, etc., to achieve the effect of reducing bandwidth and reducing resolution

Pending Publication Date: 2020-01-31
PEZHO SITROEN AUTOMOBILS SA
View PDF5 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

So, when the vehicle thinks it's on the highway while it's driving on a back road, a slight positioning error could allow the activation of the autopilot function

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for determining the type of road on which a vehicle is travelling
  • Method for determining the type of road on which a vehicle is travelling

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0042] The method according to the invention makes use of the overall processing of the images captured by the vehicle V's front camera CAM (which is usually placed on top of the windshield) to determine the type of road the vehicle is driving on. Other cameras (rear view camera, etc.) can be used.

[0043] The method is based on a machine learning method that allows training a network of neurons RN to differentiate road types. During the machine learning step, the network develops to learn to recognize a set of characteristic elements that allow the determination of the type of road.

[0044] The way in which the learned information is acquired is distinct from (and compatible with) the way in which the network is used on the vehicle (for example, the network can be trained on data from a "lab" type camera, and a camera optimized for the vehicle is used to exploit neural network)".

[0045] Refer to the following figure 1 The block diagram depicts the method.

[0046] In ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

A method for determining the type of road on which a vehicle is travelling based on a plurality of acquired images of the road, said method comprising a first, preliminary phase (10) comprising the steps of preprocessing (200, 300) the images and learning (400) a neural network (RN) based on pairs (image, type of road); said method comprising a second, implementation (500) phase (20), in which thecoefficients optimised in the learning step (400) are entered into a computer (ECU) of the vehicle (V) implementing said neural network (RN) and which provides an estimate of the type of road on which the vehicle (V) is travelling based on the images acquired by at least one image capturing device (CAM) of the vehicle (V) and the optimised coefficients.

Description

technical field [0001] The invention relates to vehicles for which it is important to recognize the type of road on which the vehicle, especially an autonomous or semi-autonomous vehicle, is traveling. [0002] The invention relates more particularly to a method of determining the type of road on which a vehicle is traveling, the determination method being based on captured images of the road. Background technique [0003] An autonomous or semi-autonomous vehicle is a vehicle for which the driver has delegated driving and thus delegated the relevant duties in whole or in part. [0004] Therefore, there is a need during the automated driving phase to ensure that the vehicle is well-traveled on a road segment suitable for initiating the phase, which is usually a split road of the expressway or highway type. [0005] Current solutions utilize a method of siding and positioning the vehicle in its lane of travel, usually via GPS (Global Positioning System) associated with a map,...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V20/56G06V10/82
Inventor 戴维德·伯特兰
Owner PEZHO SITROEN AUTOMOBILS SA