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Transportation network infrastructure for autonomous vehicle decision making

A vehicle and infrastructure technology, applied in transportation and packaging, services based on location information, input parameters of external conditions, etc., can solve problems that hinder the sensory range of autonomous vehicles

Active Publication Date: 2020-10-16
北美日产公司 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, a problem arises that there may be one or more objects that obstruct the autonomous vehicle's sensory range, or "field of view," where the autonomous vehicle's sensory range or "field of view" refers to one or more The area adjacent to the autonomous vehicle that the sensors can sense

Method used

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  • Transportation network infrastructure for autonomous vehicle decision making
  • Transportation network infrastructure for autonomous vehicle decision making
  • Transportation network infrastructure for autonomous vehicle decision making

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Embodiment Construction

[0026] Techniques for handling obstruction scenarios encountered by autonomous vehicles (also referred to as "vehicles") are disclosed herein. An obstructive scenario may mean that the autonomous vehicle's sensor system is unable to obtain reliable vehicle sensor data (also referred to as "vehicle data") for use in determining control actions by the autonomous vehicle due to obstacles or other objects that are obscuring the vehicle's sensors. ) situation. For example, when an autonomous vehicle attempts a left turn onto a road, buildings may obscure the vehicle's camera's field of view. If a building is blocking the camera's field of view from the left (where the vehicle may intersect the path of the autonomous vehicle), the autonomous vehicle may be in a situation where it cannot decide whether to turn or continue to wait. In another example, the autonomous vehicle may be located at or near the top of a mountain, whereby the vehicle cannot determine whether any vehicles are ...

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Abstract

According to some implementations of the present disclosure, a method for controlling an autonomous vehicle is disclosed. The method includes traversing the transportation network in accordance with aroute and receiving vehicle sensor data from one or more vehicle sensors of the autonomous vehicle. The method also includes determining that the autonomous vehicle has encountered an occlusion scenario based on the vehicle sensor data. In response to determining that the autonomous vehicle has encountered the occlusion scenario, the method includes transmitting a request for infrastructure datato an external resource via a communication network, receiving infrastructure data from the external resource, determining a control action for the autonomous vehicle to perform based on the infrastructure data and the vehicle sensor data, and controlling the autonomous vehicle based on the control action.

Description

technical field [0001] The present invention relates to techniques for querying transportation network infrastructure to assist decision making for autonomous vehicles. Background technique [0002] In the field of autonomous vehicle control, autonomous vehicles rely on vehicle sensor data (or "vehicle data") collected by the vehicle to determine control actions. Typically, autonomous vehicles use vehicle data as input to decision-making modules (eg, machine learning models or rule-based engines) to identify control actions. Vehicle data is generally reliable because an autonomous vehicle may have many different types of sensors (e.g., cameras, radar sensors, and / or LIDAR sensors) to determine whether there are any obstacles and / or moving objects. However, a problem arises that there may be one or more objects that obstruct the autonomous vehicle's sensory range, or "field of view," where the autonomous vehicle's sensory range or "field of view" refers to one or more The ...

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Application Information

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IPC IPC(8): G05D1/00
CPCG08G1/096783G08G1/096725B60W40/04B60W60/0011B60W60/0015B60W30/095B60W2420/54B60W2556/55B60W2556/50B60W2756/10B60W2556/20B60W2556/45B60W2420/408B60W2420/403H04W4/029G06N20/00B60W2552/00G06V20/56G06F18/214
Inventor A·莫塔扎维M·西尔休斯L·彼得森
Owner 北美日产公司
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