Safe driving support via automotive hub
US-2018265095-A1 · Sep 20, 2018 · US
US12346498B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12346498-B2 |
| Application number | US-202418627379-A |
| Country | US |
| Kind code | B2 |
| Filing date | Apr 4, 2024 |
| Priority date | Jan 29, 2018 |
| Publication date | Jul 1, 2025 |
| Grant date | Jul 1, 2025 |
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A computer-implemented method of detecting distracted driving comprises: determining, by one or more processors, a primary preview region (PPR) in a representation of an environment; determining, by the one or more processors, a gaze point for a driver based on a sequence of images of the driver; determining, by the one or more processors, that the gaze point is outside of the PPR; based on the determined gaze point being outside of the PPR, decreasing, by the one or more processors, an attention level for the PPR; based on the attention level for the PPR, generating, by the one or more processors, an alert.
Opening claim text (preview).
What is claimed is: 1. A computer-implemented method of detecting distracted driving comprising: determining, by one or more processors, a first primary preview region (PPR) in a representation of an environment, wherein the first PPR is one of a plurality of PPRs and wherein each PPR is a region to which a driver should pay attention; determining, by the one or more processors, a gaze point for a driver based on a sequence of images of the driver; determining, by the one or more processors, that the gaze point is outside of the first PPR; based on the determined gaze point being outside of the first PPR, decreasing, by the one or more processors, an attention level for the first PPR; and based on the attention level for the first PPR, generating, by the one or more processors, an alert; estimating a future path using vehicle and road information; determining that the first PPR is not along the future path; and based on the determination that the first PPR is not along the future path, removing the first PPR from the plurality of PPRS. 2. The method of claim 1 , further comprising: determining a second gaze point for the driver based on a second sequence of images of the driver; and based on the second gaze point being inside of the first PPR, increasing the attention level for the first PPR. 3. The method of claim 1 , wherein: each PPR of the plurality of PPRs has a corresponding attention level; the generating of the alert is further based on the attention level for each PPR of the plurality of PPRs. 4. The method of claim 3 , further comprising: determining a priority score for each PPR of the plurality of PPRs; and wherein the attention level for each PPR of the plurality of PPRs is based on the priority score for the PPR. 5. The method of claim 1 , further comprising: identifying, by the one or more processors, an object depicted in the representation of the environment; and wherein the determining of the first PPR comprises determining the first PPR for the object. 6. The method of claim 5 , wherein the determining of the first PPR for the object comprises determining a velocity of the object. 7. The method of claim 5 , wherein the identifying of the object depicted in the image of the environment comprises analyzing the image with a trained machine-learning algorithm. 8. The method of claim 1 , wherein the determining of the first PPR comprises: determining a primary preview point (PPP); and determining the PPR based on the PPP and a predetermined radius. 9. The method of claim 1 , wherein the representation of the environment is generated by an infrared (IR) camera. 10. The method of claim 1 , wherein the determining of the first PPR in the representation of the environment comprises identifying a lane of a road. 11. The method of claim 1 , wherein the representation of the environment is generated by a laser scanner. 12. The method of claim 1 , wherein the determining of the attention level for the PPR is based on a profile of the driver. 13. A system for detecting distracted driving, comprising: a memory storage comprising instructions; and one or more processors in communication with the memory storage, wherein the one or more processors execute the instructions to perform operations comprising: determining a first primary preview region (PPR) in a representation of an environment, wherein the first PPR is one of a plurality of PPRs and wherein each PPR is a region to which a driver should pay attention; determining a gaze point for the driver based on a sequence of images of the driver; determining that the gaze point is outside of the first PPR; based on the determined gaze point being outside of the first PPR, decreasing, by the one or more processors, an attention level for the first PPR; based on the attention level for the first PPR, generating, by the one or more processors, an alert; estimating a future path using vehicle and road information; determining that the first PPR is not along the future path; and based on the determination that the first PPR is not along the future path, removing the first PPR from the plurality of PPRS. 14. The system of claim 13 , wherein the operations further comprise: determining a second gaze point for the driver based on a second sequence of images of the driver; and based on the second gaze point being inside of the first PPR, increasing the attention level for the first PPR. 15. The system of claim 13 , wherein: each PPR of the plurality of PPRs has a corresponding attention level; the generating of the alert is further based on the attention level for each PPR of the plurality of PPRS. 16. The system of claim 15 , wherein the operations further comprise: determining a priority score for each PPR of the plurality of PPRs; and wherein the attention level for each PPR of the plurality of PPRs is based on the priority score for the PPR. 17. The system of claim 13 , wherein the operations further comprise: identifying an object depicted in the representation of the environment; and wherein the determining of the first PPR comprises determining the first PPR for the object. 18. A non-transitory computer-readable medium storing computer instructions for detecting distracted driving, that when executed by one or more processors, cause the one or more processors to perform operations comprising: determining a first primary preview region (PPR) in a representation of an environment, wherein the first PPR is one of a plurality of PPRs and wherein each PPR is a region to which a driver should pay attention; determining a gaze point for the driver based on a sequence of images of the driver; determining that the gaze point is outside of the first PPR; based on the determined gaze point being outside of the first PPR, decreasing, by the one or more processors, an attention level for the first PPR; based on the attention level for the first PPR, generating an alert; estimating a future path using vehicle and road information; determining that the first PPR is not along the future path; and based on the determination that the first PPR is not along the future path, removing the first PPR from the plurality of PPRs. 19. The non-transitory computer-readable medium of claim 18 , wherein the operations further comprise: determining a second gaze point for the driver based on a second sequence of images of the driver; and based on the second gaze point being inside of the first PPR, increasing the attention level for the first PPR. 20. The non-transitory computer-readable medium of claim 18 , wherein: each PPR of the plurality of PPRs has a corresponding attention level; the generating of the alert is further based on the attention level for each PPR of the plurality of PPRs.
Input parameters relating to occupants · CPC title
Alarm means · CPC title
Tactile feedback to the driver, e.g. vibration or force feedback to the driver on the steering wheel or the accelerator pedal · CPC title
Taking automatic action to avoid collision, e.g. braking and steering · CPC title
including control of steering systems · CPC title
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