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Vehicle Lane Boundary Positioning

A vehicle and lane marking technology, applied to vehicle components, traffic control systems of road vehicles, instruments, etc.

Active Publication Date: 2022-04-12
FORD GLOBAL TECH LLC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Visual perception for autonomous navigation poses many different challenges, but since images provide rich information about the environment in which the vehicle is driving, visual perception for autonomous navigation has many benefits

Method used

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  • Vehicle Lane Boundary Positioning
  • Vehicle Lane Boundary Positioning
  • Vehicle Lane Boundary Positioning

Examples

Experimental program
Comparison scheme
Effect test

example 1

[0085] Example 1 is a method that includes receiving sensory information from a first camera positioned on a first side of a vehicle and a second camera positioned on a second side of the vehicle. The method includes determining a position of the vehicle relative to lane markings on a first side and a second side of the vehicle using one or more neural networks. The method also includes notifying the driver or the control system of the location of the vehicle.

[0086] In Example 2, the one or more neural networks of Example 1 comprise a deep convolutional neural network.

[0087] In Example 3, the deep convolutional neural network of Example 2 includes convolution filter windows sized based on the thickness of the lane markings.

[0088] In Example 4, at least one of the one or more neural networks of any of Examples 1-3 includes a Euclidean loss layer.

[0089] In Example 5, the one or more neural networks of any of Examples 1-4 are configured to receive the image having a...

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PUM

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Abstract

A method for determining the position of a vehicle in a lane includes receiving sensory information from a first camera located on a first side of the vehicle and a second camera located on a second side of the vehicle. The method includes determining a position of the vehicle relative to lane markings on a first side and a second side of the vehicle using one or more neural networks. The method also includes notifying the driver or the control system of the location of the vehicle.

Description

technical field [0001] The present disclosure relates generally to methods, systems, and apparatus for detecting the position of a vehicle lane boundary, and more particularly to estimating the relative position of a lane boundary using a vehicle side camera. Background technique [0002] Motor vehicles provide a great deal of transportation for commercial, governmental, and private entities. Due to the high value of motor vehicles and the potential hazards to passengers and drivers, driver safety and avoidance of collisions, accidents or other damage to the vehicle is very important. Autonomous vehicles and driver assistance systems are currently being developed and deployed to provide safety, reduce the amount of user input required, or even eliminate user involvement altogether. Visual perception for autonomous navigation presents many different challenges, but since images provide rich information about the environment in which the vehicle is driven, visual perception f...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V10/764G06V10/82G06V20/58G06V10/44G08G1/16B60R1/23G06K9/62
CPCG06V20/588G06F18/214B60R2300/205G06N3/08B60R2300/30B60R2300/804G08G1/167G06V10/454G06V10/82G06V30/19173G06N3/045G06F18/24133G06N3/044
Inventor 维迪亚·那利亚姆布特·穆拉里特贾斯维·孔杜理斯米塔·维纳亚克·鲍卢尔凯尔·J·凯里
Owner FORD GLOBAL TECH LLC