Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Vehicle-mounted camera-assisted distributed driving electric vehicle pavement estimation method

An electric vehicle, distributed technology, applied in image analysis, computing, image data processing, etc., can solve problems such as interference

Active Publication Date: 2020-02-07
TONGJI UNIV
View PDF4 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At the same time, the road surface recognition method based on machine vision has the advantages of wide detection range and strong predictability, but it is easily disturbed by factors such as light in the environment

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
  • Vehicle-mounted camera-assisted distributed driving electric vehicle pavement estimation method
  • Vehicle-mounted camera-assisted distributed driving electric vehicle pavement estimation method
  • Vehicle-mounted camera-assisted distributed driving electric vehicle pavement estimation method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0075] Such as figure 1 As shown, the present invention relates to a method for estimating a road surface of an electric vehicle based on a vehicle-mounted camera-assisted distributed drive, comprising the following steps:

[0076] Step 1: The road surface images in front of the vehicle in dry and rainy and wet weather are respectively captured by the vehicle-mounted camera.

[0077] The vehicle-mounted camera is required to be installed at the front bumper of the vehicle, and its technical parameters are as follows: the resolution is not lower than 720×480 pixels, and the frame rate is not lower than 30fps. The number of sample pictures taken is required: no less than 200 pictures of dry asphalt pavement, and no less than 200 pictures of wet asphalt pavement.

[0078] Step 2: Extract road surface image features based on the color moment method and the gray level co-occurrence matrix method respectively. specifically:

[0079] 2.1. The color information of the image is main...

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

The invention relates to a vehicle-mounted camera-assisted distributed driving electric vehicle pavement estimation method. The method comprises the following steps: 1) respectively shooting images ofa road pavement in front of a vehicle under dry weather conditions and rainy and humid weather conditions by using a vehicle-mounted camera; 2) based on a color moment method and a gray level co-occurrence matrix method, extracting road surface image features from the acquired road surface images of the road in front of the vehicle under various weather conditions; 3) utilizing a support vector machine method to carry out classification identification on each road surface image characteristic acquired in the step 2); and 4) designing a disturbance estimator based on tire longitudinal force estimation, estimating a road adhesion coefficient, considering a mapping relationship between a road image and the adhesion coefficient, designing a fusion estimator, and further obtaining a fusion estimation result. Compared with the prior art, the method has the advantages of high estimation precision, good real-time performance, strong robustness and the like.

Description

technical field [0001] The invention relates to the field of electric vehicle control, in particular to a method for estimating the road surface of an electric vehicle based on a vehicle-mounted camera-assisted distributed drive. Background technique [0002] The peak adhesion coefficient of the road surface is the key parameter to realize the precise motion control of the vehicle. Most of the existing road surface recognition methods are implemented by constructing state observers based on vehicle dynamics. Such methods are generally applicable during vehicle acceleration and deceleration, where it is feasible to determine the coefficient of friction in situations where tire forces are saturated, for example under hard braking conditions. The difficulty with such methods is to obtain friction estimates under more normal driving conditions, that is, estimates when the tire slip rate is small (low utilization of road adhesion). The actual road environment is often complex a...

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
IPC IPC(8): G06K9/00G06K9/62G06T7/40G06T7/90
CPCG06T7/40G06T7/90G06V20/588G06F18/2411G06F18/214Y02T10/40
Inventor 金达冷搏熊璐杨兴余卓平
Owner TONGJI UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com