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Automatic driving method and device, equipment and storage medium

A technology for automatic driving and equipment, applied in the fields of equipment and storage media, devices, and automatic driving methods, can solve problems such as low efficiency and heavy workload, and achieve the effects of reducing workload, high accuracy, and improving obstacle avoidance capabilities

Active Publication Date: 2019-08-06
杭州飞步科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the current manual labeling workload is large and the efficiency is low.

Method used

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  • Automatic driving method and device, equipment and storage medium
  • Automatic driving method and device, equipment and storage medium
  • Automatic driving method and device, equipment and storage medium

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Embodiment Construction

[0053] Embodiments of the present application will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present application are shown in the drawings, it should be understood that the application may be embodied in various forms and should not be construed as limited to the embodiments set forth herein; A more thorough and complete understanding of the application. It should be understood that the drawings and embodiments of the present application are for exemplary purposes only, and are not intended to limit the protection scope of the present application.

[0054] The terms "first", "second", "third", "fourth", etc. (if any) in the description and claims of the embodiments of the present application and the above drawings are used to distinguish similar objects, while It is not necessarily used to describe a particular order or sequence. It is to be understood that the data so used are interchangeable under app...

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Abstract

An embodiment of the invention provides an automatic driving method, an automatic driving device, equipment and a storage medium. The automatic driving method comprises the steps of acquiring a radarpoint cloud and images of the same scene acquired by means of radar equipment and photographic equipment which are carried on automatic driving equipment; and detecting the radar point cloud and the images based on a preset obstacle detection model to obtain information of an obstacle in the scene, and executing a corresponding automatic driving strategy based on the information of the obstacle, so that a moving trajectory of the automatic driving equipment avoids the obstacle. The automatic driving method and the automatic driving device can realize the obstacle avoidance operation in the automatic driving scene, particularly can reduce the workload of manually labeling training samples of the obstacle detection model, improves the labeling efficiency, improves the precision of the obstacle detection model, and enhances the obstacle avoidance ability of automatic driving.

Description

technical field [0001] The embodiments of the present application relate to the technical field of automatic driving, and in particular, to an automatic driving method, device, equipment, and storage medium. Background technique [0002] In the autonomous driving scene, unmanned vehicles need to detect and identify surrounding obstacles, so as to accurately judge the types of obstacles, such as buses, cars, roadblocks, pedestrians, etc., and then generate corresponding self-vehicle control strategies. The algorithms that detection and recognition rely on are supervised machine learning algorithms, and the input of this algorithm must be the classified and labeled data of various types of obstacles. At present, such annotation data is generally generated by automatic driving manual annotation systems. [0003] The automatic driving manual labeling system is a system that manually labels sensor data such as images and radar point clouds. It can label obstacles in the sensor w...

Claims

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Application Information

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IPC IPC(8): G05D1/02G06K9/00
CPCG05D1/0246G05D1/0257G06V20/56G06V20/58Y02T10/40
Inventor 孟德佳万信逸
Owner 杭州飞步科技有限公司
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