Systems and methods for environmental analysis based upon vehicle sensor data
US-10643285-B1 · May 5, 2020 · US
US11288901B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11288901-B2 |
| Application number | US-201916662359-A |
| Country | US |
| Kind code | B2 |
| Filing date | Oct 24, 2019 |
| Priority date | Oct 24, 2019 |
| Publication date | Mar 29, 2022 |
| Grant date | Mar 29, 2022 |
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Detection of an impact to a vehicle is based on data received from one of (a) one or more infrastructure sensors included in an infrastructure element or (b) the vehicle. Verification of the impact is determined by determining that data received from the other of the infrastructure sensors or the vehicle (a) detects the impact and is verified or (b) does not detect the impact and is unverified. A message is transmitted to the vehicle including the verification of the impact and one of (a) a request to operate to a predetermined location based on the impact being verified or (b) a notification to continue a current operation based on the impact being unverified.
Opening claim text (preview).
What is claimed is: 1. A system, comprising a computer including a processor and a memory, the memory storing instructions executable by the processor to: detect an impact to a vehicle based on data received from one of (a) one or more infrastructure sensors included in an infrastructure element or (b) the vehicle; determine a verification of the impact by determining that data received from the other of the infrastructure sensors or the vehicle (a) detects the impact and is verified or (b) does not detect the impact and is unverified; and then transmit a message to the vehicle including the verification of the impact and one of (a) a request to operate to a predetermined location based on the impact being verified or (b) a notification to continue a current operation based on the impact being unverified. 2. The system of claim 1 , wherein the instructions further include instructions to, upon receiving a response from the vehicle indicating the vehicle is inoperable, transmit a message indicating a location of the vehicle to a second vehicle. 3. The system of claim 1 , wherein the instructions further include instructions to, upon receiving a response from the vehicle indicating the vehicle is operable, determine the vehicle is one of operable or inoperable based on data received from the infrastructure sensors indicating movement of the vehicle. 4. The system of claim 3 , wherein the instructions further include instructions to, upon determining the vehicle is inoperable, transmit a message indicating a location of the vehicle to a second vehicle. 5. The system of claim 1 , wherein detecting the impact is determined by data from one of the infrastructure sensors or the vehicle detecting an object within a distance of the vehicle. 6. The system of claim 1 , wherein detecting the impact is determined by data from the infrastructure sensors detecting an anomaly on an exterior of the vehicle. 7. The system of claim 1 , wherein the instructions further include instructions to determine the verification of the impact further by determining data received from a user device (a) detects the impact and is verified or (b) does not detect the impact and is unverified. 8. The system of claim 1 , wherein the instructions further include instructions to determine the verification of the impact further by determining data received from a second vehicle (a) detects the impact and is verified or (b) does not detect the impact and is unverified. 9. The system of claim 1 , wherein determining the verification of the impact includes obtaining the verification as output from a neural network. 10. The system of claim 9 , wherein the instructions further include instructions to input the data received from infrastructure sensors and the vehicle into the neural network. 11. The system of claim 10 , wherein the data is image data indicating at least one of an object within a distance of the vehicle and an anomaly on an exterior of the vehicle. 12. A method comprising: detecting an impact to a vehicle based on data received from one of (a) one or more infrastructure sensors included in an infrastructure element or (b) the vehicle; determining a verification of the impact by determining that data received from the other of the infrastructure sensors or the vehicle (a) detects the impact and is verified or (b) does not detect the impact and is unverified; and then transmitting a message to the vehicle including the verification of the impact and one of (a) a request to operate to a predetermined location based on the impact being verified or (b) a notification to continue a current operation based on the impact being unverified. 13. The method of claim 12 , further comprising, upon receiving a response from the vehicle indicating the vehicle is inoperable, transmitting a message indicating a location of the vehicle to a second vehicle. 14. The method of claim 12 , further comprising, upon receiving a response from the vehicle indicating the vehicle is operable, determining the vehicle is one of operable or inoperable based on data received from the infrastructure sensors indicating movement of the vehicle. 15. The method of claim 14 , further comprising, upon determining the vehicle is inoperable, transmitting a message indicating a location of the vehicle to a second vehicle. 16. The method of claim 12 , wherein detecting the impact is determined by data from one of the infrastructure sensors or the vehicle detecting an object within a distance of the vehicle. 17. The method of claim 12 , wherein detecting the impact is determined by data from the infrastructure sensors detecting an anomaly on an exterior of the vehicle. 18. The method of claim 12 , wherein determining the verification of the impact includes obtaining the verification as output from a neural network. 19. The method of claim 18 , further comprising inputting the data received from infrastructure sensors and the vehicle into the neural network. 20. The method of claim 19 , wherein the data is image data indicating at least one of an object within a distance of the vehicle and an anomaly on an exterior of the vehicle.
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