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Method and system for predicting vehicles' moving trajectories

A technology for vehicles and implementation methods, applied in vehicle components, neural learning methods, control/regulation systems, etc., can solve problems such as difficult to estimate the driver's intentions of moving obstacles, and achieve the effect of accurate moving trajectories

Pending Publication Date: 2021-06-18
BAIDU USA LLC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, it may be difficult to estimate the driver's intention of the moving obstacle

Method used

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  • Method and system for predicting vehicles' moving trajectories
  • Method and system for predicting vehicles' moving trajectories
  • Method and system for predicting vehicles' moving trajectories

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Embodiment Construction

[0028] Various embodiments and aspects of the disclosure will be described with reference to details discussed below, and the accompanying drawings will illustrate the various embodiments. The following description and drawings are illustrative of the present disclosure and should not be construed as limiting the present disclosure. Numerous specific details are described to provide a thorough understanding of various embodiments of the present disclosure. However, in certain instances, well known or conventional details are not described in order to provide a concise discussion of embodiments of the present disclosure.

[0029] Reference in the specification to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present disclosure. The appearances of the phrase "in one embodiment" in various places in the specification are not necessaril...

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Abstract

The invention provides a method and a system for predicting vehicles' moving trajectories. An obstacle state evolution of a spatial position of a moving obstacle over a period of time is determined. A lane-obstacle relation evolution of the moving obstacle with each of one or more lanes near the moving obstacle over the period of time is further determined. An intended movement of the moving obstacle is predicted based on the obstacle state evolution and the lane-obstacle evolution. Thereafter, a trajectory of the ADV is planned to control the ADV to avoid a collision with the moving obstacle based on the predicted intended movement of the moving obstacle. The above process is iteratively performed for each of the moving obstacles detected within a predetermined proximity of the ADV.

Description

technical field [0001] Embodiments of the present disclosure generally relate to operating autonomous vehicles. More specifically, embodiments of the present disclosure relate to predicting the movement or trajectory of moving obstacles. Background technique [0002] Vehicles operating in an autonomous mode (eg, driverless) can relieve occupants (especially the driver) from certain driving-related responsibilities. When operating in autonomous mode, the vehicle can navigate to various locations using on-board sensors, allowing the vehicle to travel with minimal human interaction, or in some cases, without any passengers. [0003] Motion planning and control are crucial operations in autonomous driving. When planning the path or trajectory of an autonomous driving vehicle (ADV), it is important to predict the movement or trajectory of each moving obstacle within the vicinity of the ADV. However, such predictions are difficult to achieve with high accuracy. For example, th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B60W60/00G06V10/44G06V10/764
CPCB60W60/0016B60W60/00272B60W60/00274B60W2554/40G05D1/0212B60W2554/4045B60W2552/00B60W2556/10G06N3/084G06N5/022G06V20/588G06V10/44G06V10/82G06V10/764G06N3/044G06N3/045G05D1/0214G05D1/0088B60W30/0956G06N3/04G06V20/58
Inventor 潘嘉诚孙宏艺许珂诚蒋一飞肖祥全胡江滔缪景皓
Owner BAIDU USA LLC
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