Vehicle damage detection and indication
US-9218698-B2 · Dec 22, 2015 · US
US12379726B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12379726-B2 |
| Application number | US-202418653480-A |
| Country | US |
| Kind code | B2 |
| Filing date | May 2, 2024 |
| Priority date | Apr 5, 2019 |
| Publication date | Aug 5, 2025 |
| Grant date | Aug 5, 2025 |
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Official abstract text for this publication.
An autonomous vehicle (AV) computing device including at least one processor may be provided. The at least processor may be programmed to (i) receive a proposed trip including a destination location and a departure time, (ii) determine environmental conditions data based on the destination location and the departure time, (iii) retrieve current software ecosystem data for the AV, (iv) retrieve aggregated data for a plurality of AVs, the aggregated data including a plurality of correlations, each correlation including a) an interaction between at least one software application and at least one environmental condition and b) an adverse performance outcome associated with the interaction, (v) compare the environmental conditions data for the proposed trip and the current software ecosystem data for the AV to the plurality of correlations to identify an adverse performance outcome, and (vi) execute a remedial action to avoid the adverse performance outcome.
Opening claim text (preview).
We claim: 1. A computing device associated with a vehicle and comprising at least one processor in communication with at least one memory device, the at least one processor configured to: retrieve environmental conditions data representing environment conditions associated with the vehicle; retrieve current software ecosystem data for the vehicle representing software applications currently onboard the vehicle; retrieve aggregated data for a plurality of other vehicles, the aggregated data including a plurality of correlations relating software ecosystem data and environmental conditions data for the plurality of other vehicles; identify an adverse performance outcome associated with an interaction between at least one of the software applications currently onboard the vehicle and at least one of the environmental conditions associated with the vehicle by comparing the environmental conditions data for the vehicle and the current software ecosystem data to the plurality of correlations; cause an alert message to be displayed on a display device within the vehicle; and in response to a remedial action being identified to avoid the adverse performance outcome, cause the remedial action to be executed. 2. The computing device of claim 1 , wherein the at least one processor is further configured to retrieve, from the at least one memory device, the environmental conditions data, the current software ecosystem data, and the aggregated data. 3. The computing device of claim 1 , wherein the aggregated data further includes the software ecosystem data, the environmental conditions data, and performance data associated with the plurality of other vehicles. 4. The computing device of claim 1 , wherein the at least one processor is further configured to: receive a proposed trip for the vehicle including a destination location and a departure time; and retrieve a set of environmental conditions data for the proposed trip based on the destination location and the departure time, the set of environmental conditions data including trip environmental conditions likely to be experienced by the vehicle during the proposed trip. 5. The computing device of claim 1 , wherein the vehicle is one of an autonomous vehicle and a semi-autonomous vehicle. 6. The computing device of claim 1 , wherein the at least one processor is further configured to automatically update the software applications currently onboard the vehicle to avoid the adverse performance outcome. 7. A computer-implemented method implemented using a computing device associated with a vehicle, the computing device including at least one processor in communication with at least one memory device, the method comprising: retrieving environmental conditions data representing environment conditions associated with the vehicle; retrieving current software ecosystem data for the vehicle representing software applications currently onboard the vehicle; retrieving aggregated data for a plurality of other vehicles, the aggregated data including a plurality of correlations relating software ecosystem data and environmental conditions data for the plurality of other vehicles; identifying an adverse performance outcome associated with an interaction between at least one of the software applications currently onboard the vehicle and at least one of the environmental conditions associated with the vehicle by comparing the environmental conditions data for the vehicle and the current software ecosystem data to the plurality of correlations; causing an alert message to be displayed on a display device within the vehicle; and in response to a remedial action being identified to avoid the adverse performance outcome, causing the remedial action to be executed. 8. The computer-implemented method of claim 7 further comprising retrieving, from the at least one memory device, the environmental conditions data, the current software ecosystem data, and the aggregated data. 9. The computer-implemented method of claim 7 , wherein the aggregated data further includes the software ecosystem data, the environmental conditions data, and performance data associated with the plurality of other vehicles. 10. The computer-implemented method of claim 7 further comprising: receiving a proposed trip for the vehicle including a destination location and a departure time; and retrieving a set of environmental conditions data for the proposed trip based on the destination location and the departure time, the set of environmental conditions data including trip environmental conditions likely to be experienced by the vehicle during the proposed trip. 11. The computer-implemented method of claim 7 , wherein the vehicle is one of an autonomous vehicle and a semi-autonomous vehicle. 12. The computer-implemented method of claim 7 further comprising automatically updating the software applications currently onboard the vehicle to avoid the adverse performance outcome. 13. At least one non-transitory computer-readable storage medium having computer-executable instructions thereon, wherein when executed by at least one processor of a computing device associated with a vehicle, the computer-executable instructions cause the at least one processor to: retrieve environmental conditions data representing environment conditions associated with the vehicle; retrieve current software ecosystem data for the vehicle representing software applications currently onboard the vehicle; retrieve aggregated data for a plurality of other vehicles, the aggregated data including a plurality of correlations relating software ecosystem data and environmental conditions data for the plurality of other vehicles; identify an adverse performance outcome associated with an interaction between at least one of the software applications currently onboard the vehicle and at least one of the environmental conditions associated with the vehicle by comparing the environmental conditions data for the vehicle and the current software ecosystem data to the plurality of correlations; cause an alert message to be displayed on a display device within the vehicle; and in response to a remedial action being identified to avoid the adverse performance outcome, cause the remedial action to be executed. 14. The at least one non-transitory computer-readable storage medium of claim 13 , wherein the computer-executable instructions further cause the at least one processor to retrieve, from at least one memory device, the environmental conditions data, the current software ecosystem data, and the aggregated data. 15. The at least one non-transitory computer-readable storage medium of claim 13 , wherein the aggregated data further includes the software ecosystem data, the environmental conditions data, and performance data associated with the plurality of other vehicles. 16. The at least one non-transitory computer-readable storage medium of claim 13 , wherein the computer-executable instructions further cause the at least one processor to: receive a proposed trip for the vehicle including a destination location and a departure time; and retrieve a set of environmental conditions data for the proposed trip based on the destination location and the departure time, the set of environmental conditions data including trip environmental conditions likely to be experienced by the vehicle during the proposed trip. 17. The at least one non-transitory computer-readable storage medium of claim 13 , wherein the computer-executable instructions further cause the at least one processor to automatically update the softwar
Retrieval, searching and output of information related to real-time traffic, weather, or environmental conditions (arrangements for giving variable traffic instructions G08G1/09) · CPC title
Preferred or disfavoured areas, e.g. dangerous zones, toll or emission zones, intersections, manoeuvre types or segments such as motorways, toll roads or ferries · CPC title
Planning or execution of driving tasks · CPC title
Safety or protection, e.g. defining protection zones around obstacles or avoiding hazards (arrangements for controlling the position or course of two or more vehicles for avoiding collisions therebetween G05D1/693; arrangements for reacting to or preventing system or operator failure G05D1/80) · CPC title
using signals provided by artificial sources external to the vehicle, e.g. navigation beacons · CPC title
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