Obstacle data processing method and device, electronic equipment and computer readable medium

A data processing and obstacle technology, applied in the computer field, can solve problems such as low accuracy of obstacle identification, inaccurate identification of obstacle types, and impact on vehicle driving safety, etc.

Active Publication Date: 2021-08-17
禾多阡陌科技(北京)有限公司
View PDF4 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Due to the sparsity and distribution of point cloud data collected at different times, the use of a single clustering algorithm often results in inaccurate obstacle category recognition, resulting in low obstacle recognition accuracy, which in turn affects vehicle driving security

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
  • Obstacle data processing method and device, electronic equipment and computer readable medium
  • Obstacle data processing method and device, electronic equipment and computer readable medium
  • Obstacle data processing method and device, electronic equipment and computer readable medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0018] Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the disclosure are shown in the drawings, it should be understood that the disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these examples are provided so that the understanding of this disclosure will be thorough and complete. It should be understood that the drawings and embodiments of the present disclosure are for exemplary purposes only, and are not intended to limit the protection scope of the present disclosure.

[0019] It should also be noted that, for the convenience of description, only the parts related to the related invention are shown in the drawings. In the case of no conflict, the embodiments in the present disclosure and the features in the embodiments can be combined with each other.

[0020] It should be noted that conc...

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 embodiment of the invention discloses an obstacle data processing method and device, electronic equipment and a computer readable medium. A specific embodiment of the method comprises the steps of obtaining a point cloud data set obtained by scanning of a target vehicle-mounted laser radar; performing clustering processing on the point cloud data in the point cloud data set to generate a first obstacle information set; generating a second obstacle information set according to the target deep learning model and the point cloud data set; generating an obstacle feature distance matrix; obtaining a third obstacle information set; obtaining a fourth obstacle information set; obtaining a fifth obstacle information set; obtaining a combined obstacle information set; and sending the combined obstacle information set to the target terminal for display. According to the embodiment, the accuracy of obstacle detection is improved.

Description

technical field [0001] The embodiments of the present disclosure relate to the field of computer technology, and in particular to obstacle data processing methods, devices, electronic equipment, and computer-readable media. Background technique [0002] 3D obstacle detection is an important part of autonomous driving environment perception, and plays a vital role in driving safety of autonomous vehicles. At present, when detecting obstacles, the usual methods are as follows: through a single clustering algorithm, the point cloud data is clustered, so as to realize the detection of obstacles. [0003] However, when the above method is used for obstacle detection, the following technical problems often exist: [0004] Due to the sparsity and distribution of point cloud data collected at different times, the use of a single clustering algorithm often results in inaccurate obstacle category recognition, resulting in low obstacle recognition accuracy, which in turn affects vehic...

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): G06K9/00G06K9/62G06Q10/04
CPCG06Q10/047G06V20/58G06F18/23
Inventor 李松泽兰莎郧
Owner 禾多阡陌科技(北京)有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap