Selective retrieval of navigational information from a host vehicle

Patent metadata

Field	Value
Publication number	US-2022011130-A1
Application number	US-202117484440-A
Country	US
Kind code	A1
Filing date	Sep 24, 2021
Priority date	Apr 3, 2018
Publication date	Jan 13, 2022
Grant date	—

Abstract

Systems and methods may selectively collect information from a host vehicle. In one example, ft method may include causing collection of navigational information associated with an environment traversed by the host vehicle; storing the collected navigational information: determining, based on an output of at least one navigational sensor, a location of the host vehicle; transmitting the determined location of the host vehicle to a server: receiving, from the server and in response to the transmitted determined location, a request for transmission of a selected subset of the navigational information. collected by the host vehicle; and transmitting the selected subset of the navigational information to the server.

First claim

1 .- 50 . (canceled)

51 . At least one non-transitory machine-readable storage medium comprising instructions, which when executed by processor circuitry of a computing device, cause the processor circuitry to perform operations to:
obtain sensor data representative of an environment of a host vehicle traveling on a roadway; determine, from the sensor data, a location of the host vehicle on the roadway, the location determined from localization of at least a portion of features of the environment represented by the sensor data to features represented by a map; identify a trigger for a collection of navigational information at the location on the roadway; collect the navigational information from the sensor data, in response to the trigger, the navigational information indicating a difference between the features of the environment represented by the sensor data and the features of the environment represented by the map; and transmit the collected navigational information from the host vehicle to a server.

52 . The machine-readable storage medium of claim 51 , wherein the trigger is identified based on an incomplete map associated with the location ora future location of the host vehicle on the roadway.

53 . The machine-readable storage medium of claim 51 , wherein the trigger is identified based on a nonexistent map associated with the location or a future location of the host vehicle on the roadway.

54 . The machine-readable storage medium of claim 51 , wherein the trigger is identified based on a request from a server.

55 . The machine-readable storage medium of claim 54 , wherein the trigger s provided from the server to a plurality of vehicles including the host vehicle.

56 . The machine-readable storage medium of claim 51 , wherein the navigational information comprises new or changed features of the roadway relative to the map.

57 . The machine-readable storage medium of claim 51 , wherein the features represented by the map include one or more of: roadway boundaries, lane markings, traffic signs, traffic lights, or poles.

58 . The machine-readable storage medium of claim 51 , wherein the localization is performed by matching features of the environment observed from the sensor data with features of the environment obtained from the map data, to determine a position of the host vehicle within a segment of the roadway.

59 . The machine-readable storage medium of claim 51 , wherein the sensor data includes data from a multi-camera system of the host vehicle, and wherein each camera of the multi-camera system has a different field of view of the environment.

60 . The machine-readable storage medium of claim 59 , wherein the sensor data further includes data that is captured from a radar or lidar system of the host vehicle.

61 . A computing device, comprising:
at least one interface to receive sensor data representative of an environment of a host vehicle traveling on a roadway; and at least one processor configured to perform operations to:
determine, from the sensor data, a location of the host vehicle on the roadway, the location determined from localization of at least a portion of features of the environment represented by the sensor data to features represented by a map;
identify a trigger fora collection of navigational information at th e location on the roadway;
collect the navigational information from the sensor data, in response to the trigger, the navigational information indicating a difference between the features of the environment represented by the sensor data and the features of the environment represented by the map; and
transmit the collected navigational information from he host vehicle to a server.

62 . The computing device of claim 61 , wherein the trigger is identified based on an incomplete map associated with the location or a future location of the host vehicle on the roadway.

63 . The computing device of claim 61 , wherein the trigger is identified based on a nonexistent map associated with the location or a future location of the host vehicle on the roadway.

64 . The computing device of claim 61 , wherein the trigger is identified based on a request from a server,

65 . The computing device of claim 64 , wherein the trigger is provided from the server to a plurality of vehicles including the host vehicle,

66 . The computing device of claim 61 , wherein the navigational information comprises new or changed features of the roadway relative to the map.

67 . The computing device of claim 61 , wherein the features represented by the map include one or more of: roadway boundaries, lane markings, traffic signs, traffic lights, or poles.

68 . The computing device of claim 61 , wherein the localization is performed by matching features of the environment observed from the sensor data with features of the environment obtained from the map data, to determine a position of the host vehicle within a segment of the roadway.

69 . The computing device of claim 61 , wherein the sensor data includes data from a multi-camera system of the host vehicle, and wherein each camera of the multi-camera system has a different field of view of the environment.

70 . The computing device of claim 69 , wherein the sensor data further includes data that is captured from a radar or lidar system of the host vehicle.

Assignees

• Mobileye Vision Technologies Ltd

Inventors

• Hanniel Iddo
• Shapira Dori

Classifications

• G01C21/3602 Primary

  Input other than that of destination using image analysis, e.g. detection of road signs, lanes, buildings, real preceding vehicles using a camera · CPC title

• G01C21/1652

  with ranging devices, e.g. LIDAR or RADAR · CPC title

• G01C21/1656

  with passive imaging devices, e.g. cameras · CPC title

• G01C21/3644

  Landmark guidance, e.g. using POIs or conspicuous other objects · CPC title

• B60W2552/53

  Road markings, e.g. lane marker or crosswalk · CPC title