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The invention discloses a vVehicle environment sensing method based on an FPGA

A vehicle environment and environment technology, applied in the field of FPGA-based vehicle environment perception, can solve the problems of low accuracy and reliability of obstacle monitoring data, difficulty in multi-camera assembly, and low degree of parallelization, saving register resources and wiring resources. , The effect of reducing resource consumption and high speed requirements

Inactive Publication Date: 2019-04-12
JIANGSU UNIV OF SCI & TECH
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Problems solved by technology

[0006] Purpose of the invention: The present invention provides a vehicle environment perception method based on FPGA, optimizes the algorithm implemented by FPGA, solves the multi-camera assembly difficulties existing in the current vision systems based on DSP, ARM and other embedded platforms, low degree of parallelization, and computational efficiency Low disadvantages, and the problem of optimizing the accuracy and reliability of obstacle monitoring data in smart cars

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  • The invention discloses a vVehicle environment sensing method based on an FPGA
  • The invention discloses a vVehicle environment sensing method based on an FPGA
  • The invention discloses a vVehicle environment sensing method based on an FPGA

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Embodiment Construction

[0018] The present invention mainly comprises the following steps:

[0019] Step 1. The intelligent vehicle captures the image information of the environment through the camera; among them, in order to ensure the accuracy of the information, the intelligent system must correctly identify various traffic signs in the surrounding environment and the traffic information printed on the road surface.

[0020] Step 2, filter and interpolate the Baycr format image output by the image sensor, output a complete RGB image, then convert the RGB image to the color space, extract the image within the yellow area according to the color information of the lane line, and finally in order Scan the edge points to extract the more saturated part of the orange range image from the background.

[0021] Step 3, according to the research on the segmentation algorithm of yellow lane lines, design the segmentation algorithm pipeline based on FPGA. The design idea of ​​the pipeline is to divide the fi...

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Abstract

The invention discloses a vehicle environment sensing method based on an FPGA field programmable gate array. The multi-sensor fused array camera system is installed around a vehicle through omnibearing image collection of the vehicle environment and high-speed transmission and storage of image data, image collection is completed from different angles, intelligent algorithm processing is carried out on images, and a processing result is returned to the central control system. W; wherein image collection mainly aims at a yellow lane line extraction algorithm, and the algorithm can realize detection and perception of vehicle environments under different conditions. Implementation of the algorithm is mainly achieved through an FPGA, and the calculation process and the implementation mode are optimized. Therefore, the intelligent vehicle driving system which is high in speed requirement and small in installation space can be processed.

Description

technical field [0001] The invention relates to a vehicle detection method, in particular to an FPGA-based vehicle environment perception method. Background technique [0002] With the development of computer electronic technology and automatic control technology, intelligent mobile platforms are more and more widely used in military and scientific research fields. Autonomous vehicles are the development direction of the contemporary automobile industry. Although many researchers have invested in research, they still have not really entered the lives of ordinary people. The reason is that the current environmental perception methods are difficult to achieve effective and accurate environmental data acquisition. . Most research methods mainly utilize the vision system, while relatively few studies employ multi-sensors. The use of a single sensor has the following disadvantages: the measurement dimension and confidence of the system are low, the system reliability is poor, t...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06T3/40
CPCG06T3/4007G06V20/588G06V10/955
Inventor 杨平乐周塔李书恒马杰沈真王梦霞
Owner JIANGSU UNIV OF SCI & TECH