Driver adaptive collision warning system
View Patent ↗The present invention involves methods and systems for issuing a collision warning to a driver at timing based on the driver's attitude level. The methods involve the steps of determining the driver attitude level based on the driver's actions in a plurality of driving conditions, determining timing for issuing warning based on the driver attitude level, and issuing warning based on the determined timing. The systems include a first device for collecting data associated with driver attitude, and a second device connected to the first device for determining a driver attitude level. The second device includes a processor for processing the data by applying pre-determined algorithm to determine the driver attitude level. The systems may further include a third device connected to the second device for determining timing for issuing warning corresponding to the driver attitude level, and issuing a warning according to the determined timing. Alternatively or additionally, the third device may include a software for enabling a determination of the rate of change in terms of acceleration and deceleration, and a control for affecting the rate of change. Further, the third device may include a software for enabling a determination of a safety distance and a distance control.
1. A system integrated in a vehicle for forewarning a driver of a potential collision comprising:
a first device for collecting data associated with driver attitude;
a second device for determining driver attitude level comprising:
software connected to the first device for enabling storing of the collected data;
a processor connected to the software for processing the stored data by applying pre-determined algorithm to determine a driver attitude level; and
a third device connected to the second device for performing an action responsive to the driver attitude level.
2. The system of claim 1 , wherein the first device is capable of collecting data corresponding to a driver's actions in a plurality of driving conditions.
3. The system of claim 1 , wherein the first device is capable of collecting data corresponding to actions from a plurality of drivers.
4. The device of claim 1 , wherein the first device is a sensor connected to an automobile.
5. The system of claim 1 , wherein the second device further comprising software for enabling selection of data according to pre-determined criteria; and wherein the processor is capable of processing the selected data.
6. The system of claim 1 , wherein the third device comprises:
software for enabling a determination of the timing for issuing warning responsive to the driver attitude level.
7. The system of claim 6 , wherein the third device further comprises an alarm for generating a perceptible signal.
8. The system of claim 7 , wherein the alarm is selected from the group comprising an audio alarm, a visual alarm, and a tactile alarm.
9. The system of claim 1 , wherein the third device is integrated in a cruise control of the vehicle.
10. The system of claim 9 , wherein the third device comprises software for enabling a determination of rate of change of speed in terms of acceleration and deceleration responsive to the driver attitude level; and an acceleration and deceleration control for adjusting the rate of change of speed in terms of acceleration or deceleration based on the determined rate of change.
11. The system of claim 9 , wherein the third device comprises software for enabling a determination of a safety distance from another vehicle based on the driver attitude level, a distance control for maintaining the distance from the other vehicle based on the determined safety distance.
12. The system of claim 11 , wherein the third device includes an alarm for warning the driver when the determined safety distance is violated.
13. A system integrated in a vehicle for forewarning a driver of a potential collision comprising:
a first device for collecting data associated with driver attitude;
a second device for determining driver attitude level comprising:
software connected to the first device for enabling storing of the collected data;
a processor connected to the software for processing the stored data by applying pre-determined algorithm to determine a driver attitude level; and
a third device connected to the second device for performing an action responsive to the driver attitude level,
wherein the software further enables:
collecting data corresponding to a plurality of parametric models (PMs) relating to driver attitude level of an individual driver;
determining parametric model (PM) value distribution for each PM from the collected data;
determining an average value for each PM value distribution; and
determining a parametric-specific attitude level for each PM my mapping the average value for each PM value distribution to a pre-determined scale specific to each PM.
14. A system integrated in a vehicle for forewarning a driver of a potential collision comprising:
a first device for collecting data associated with driver attitude;
a second device for determining driver attitude level comprising:
software connected to the first device for enabling storing of the collected data;
a processor connected to the software for processing the stored data by applying pre-determined algorithm to determine a driver attitude level; and
a third device connected to the second device for performing an action responsive to the driver attitude level,
wherein the software enables:
collecting data corresponding to a plurality of parametric models (PMs) relating to a driver attitude level of an individual driver including at least one parametric model associated with said driver's aggression level;
applying a pre-determined algorithm to the data to determine the driver's aggression level;
determining timing for issuing a warning corresponding to the driver's aggression level; and
issuing a warning based on the determined timing, wherein the step of collecting data comprises the steps of:
determining parametric model (PM) value distribution for each PM from the collected data;
determining an average value for each PM value distribution; and
determining a parametric-specific attitude level for each PM by mapping the average value for each PM value distribution to a pre-determined scale specific to each PM.