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Systems and methods for predicting traffic patterns in autonomous vehicles

A technology for traffic patterns, autonomous vehicles, applied in the field of traffic patterns of vehicles and objects, capable of solving the problem of inability to accurately predict trajectories and/or paths

Inactive Publication Date: 2021-07-20
GM GLOBAL TECH OPERATIONS LLC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

That is, even if an autonomous vehicle has a precise semantic understanding of the road and has correctly detected and classified objects in its vicinity, the vehicle still cannot accurately predict the trajectory and / or path of certain objects in various situations

Method used

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  • Systems and methods for predicting traffic patterns in autonomous vehicles
  • Systems and methods for predicting traffic patterns in autonomous vehicles
  • Systems and methods for predicting traffic patterns in autonomous vehicles

Examples

Experimental program
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Embodiment Construction

[0034] The detailed description is merely exemplary in nature and not intended to limit application and uses. Furthermore, there is no intention to be bound by any expressed or implied theory presented in the preceding technical field, background, brief summary or detailed description. As used herein, the term "module" refers to any hardware, software, firmware, electronic control component, processing logic, and / or processor device, alone or in any combination, including but not limited to: Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs), electronic circuits, processors (shared, dedicated, or grouped), and memory for executing one or more software or firmware programs, combinational logic circuits, and / or other suitable components that provide the described functionality .

[0035] Embodiments of the disclosure may be described herein in terms of functional and / or logical block components and individual processing steps. It should be...

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PUM

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Abstract

Systems and methods for controlling a vehicle are provided. In one embodiment, a method of predicting traffic patterns includes providing a first set of predictive strategies within an autonomous vehicle. The method further includes receiving traffic pattern data associated with an object observed by the ego vehicle, the traffic pattern data including a kinematic estimate for the object, a sequence of locations for the object, and road semantics associated with an area near the object. A predicted path for the object is determined based on the first set of predicted policies and traffic pattern data, and an actual path for the object is determined. If the difference between the predicted path and the actual path is above a predetermined threshold, a new predicted policy for the object is determined. A second set of predictive strategies is generated based on the first set of predictive strategies and the new strategy.

Description

technical field [0001] The present disclosure relates generally to autonomous vehicles, and more particularly to systems and methods for predicting traffic patterns of vehicles and objects in the vicinity of the autonomous vehicle. Background technique [0002] An autonomous vehicle is one that is able to sense its environment and navigate with little or no user input. It does so by using sensing devices such as radar, lidar, image sensors, etc. The autonomous vehicle further uses information from global positioning system (GPS) technology, navigation systems, vehicle-to-vehicle communications, vehicle-to-infrastructure technology, and / or drive-by-wire systems to navigate the vehicle and perform traffic predictions. [0003] While significant advances have been made in navigation systems and traffic prediction in recent years, there are still many ways in which such systems could be improved. For example, during normal operation, an autonomous vehicle typically encounters ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B60W50/00B60W30/18
CPCB60W30/18B60W50/0097B60W2520/125B60W2520/12B60W2520/10B60W2520/105G08G1/056B60W40/04B60W30/095B60W2556/45B60W60/0011B60W60/0015B60W60/0027B60W60/00274B60W60/00276G08G1/0112G08G1/0125G08G1/052G07C5/008
Inventor E·布兰森H·尼兹
Owner GM GLOBAL TECH OPERATIONS LLC