METHOD AND APPARATUS TO DETERMINE VEHICLE INTENT

• US 20090174540A1
• Filed: 09/19/2008
• Published: 07/09/2009
• Est. Priority Date: 01/04/2008
• Status: Active Grant

• Current Assignee: Alexander E. Smith
• Original Assignee: Alexander E. Smith
• Inventors: Smith, Alexander E.
• Granted Patent: US 7,889,065 B2
• Time in Patent Office: Days
• US Class Current: 340/465
• CPC Class Codes: B60Q 1/34 for indicating change of drive direction B60Q1/22 takes precedence
• CPC Class Codes: B60Q 1/346 with automatic actuation
• CPC Class Codes: B60Q 1/40 having mechanical, electric or electronic automatic return to inoperative position
• CPC Class Codes: B60Q 1/44 for indicating braking action or preparation for braking, e.g. by detection of the foot approaching the brake pedal
• CPC Class Codes: B60Q 1/50 for indicating other intentions or conditions, e.g. request for waiting or overtaking
• CPC Class Codes: B60Q 9/00 Arrangement or adaptation of signal devices not provided for in one of main groups B60Q1/00 - B60Q7/00 , e.g. haptic signalling
• CPC Class Codes: G08G 1/162 event-triggered

Abstract

The present invention relates to the field of smart cars and automatic signaling of a vehicle'"'"'s intent. The invention allows a driver to choose between manual or automatic signaling (turns, deceleration, acceleration) and a prominent feature is that the system is not cooperative and can be phased in over time, one car at a time and offer immediate benefits. Much of the prior art relating to newer automotive technologies relies on the use of cooperative technologies, such as transponders or beacons and the like, requiring all cars to equip in order to gain benefits. While this is technically achievable it is an institutional limitation, and therefore systems that do not rely on this extent of cooperation are more practical and can be introduced sooner. The invention has the capability of ensuring that many more cars on the road provide proper turn signals as well as acceleration and deceleration signals. This display of intent will lead to increased situational awareness for all drivers and will improve efficiencies on the roads leading to less congestion. Today, the car ahead may simply slow down leaving a following or approaching driver to wait and guess what is happening. With this invention the car ahead will declare its intentions in advance. The invention also allows for the broadcasting of the vehicles intentions over commercially available data links.

Claims

1. A system for automating automobile turn and lane change signaling comprising:

means for receiving vehicle dynamics inputs including one or more of vehicle position, velocity and acceleration;

means for receiving driver control inputs, including one or more of pedal position, throttle position, gear shift position, and steering wheel position;

means for retrieving stored vehicle path data;

vehicle path estimator, coupled to the means for receiving vehicle dynamics inputs and means for receiving driver control inputs, comparing the vehicle dynamic inputs and driver control inputs to stored vehicle path data to determine a probability that the vehicle is following at least a portion of a stored vehicle path; and

turn signal decision estimator, coupled to the vehicle path estimator and means for receiving vehicle dynamics inputs and means for receiving driver control inputs, for determining probability that at least one of a turn or lane change is to occur, and if the probability exceeds a predetermined probability threshold, outputting an output signal that a turn signal should be activated, in advance of the at least one of a turn or lane change.

2. The system of claim 1, further comprising:

an in-dash indicator, coupled to the turn signal estimator, for receiving the output signal and activating the in-dash indicator in response to the output signal, to remind a driver that turn signal should be activated shortly; and

a driver manual selection input, for receiving control signals from a driver to activate a turn signal,

wherein if a driver does not activate the turn signal in response to the in-dash indicator, the vehicle path estimator adjusts the probability that the vehicle is following at least a portion of a stored vehicle path downward, and

wherein if a driver activates the turn signal in response to the in-dash indicator, the vehicle path estimator adjusts the probability that the vehicle is following at least a portion of a stored vehicle path upward.

3. The system of claim 1, further comprising:

an in-dash indicator, coupled to the turn signal estimator, for indicating to a driver that turn signal is to be activated shortly; and

a driver manual selection input, for receiving control signals from a driver to override an automatically generated turn signal generated by the turn signal decision estimator,

wherein if a driver overrides an automatically generated turn signal, the vehicle path estimator adjusts the probability that the vehicle is following at least a portion of a stored vehicle path downward, and

wherein if a driver does not overrides an automatically generated turn signal, the vehicle path estimator adjusts the probability that the vehicle is following at least a portion of a stored vehicle path upward.

4. The system of claim 1, wherein the vehicle path estimator further receives current time and day of week data and compares current vehicle path with stored vehicle paths on similar times and days of week to determine probability that the vehicle is following a stored vehicle path.

5. The system of claim 1, wherein the vehicle path estimator further receives route guidance data from a route guidance system and estimates vehicle path from the route guidance data.

6. The system of claim 1, wherein the turn signal decision estimator receives vehicle dynamics inputs including one or more of acceleration and deceleration data, and wherein the turn signal decision estimator determines a probability that a turn is going to occur based upon one or more of acceleration and deceleration data from vehicle dynamics inputs as the vehicle approaches an intersection.

7. The system of claim 1, wherein the turn signal decision estimator receives human inputs including one or more of brake pedal action data and accelerator pedal action data, wherein the turn signal decision estimator determines a probability that a turn is going to occur based upon one or more one or more of brake pedal action data and accelerator pedal action as the vehicle approaches an intersection.

8. The system of claim 1, wherein the turn signal decision estimator receives human inputs including one or more of gear shifting, cruise control selection, and turn signal selection, wherein the turn signal decision estimator determines a probability that a turn is going to occur based upon one or more one or more of include gear shifting, cruise control selection, and turn signal selection as the vehicle approaches an intersection.

9. The system of claim 1, wherein the turn decision estimator determines when a turn has been completed and cancels a turn signal when the turn has been completed.

10. The system of claim 1, further comprising:

means for determining deceleration and acceleration of the vehicle from one or more of the driver'"'"'s use of the brake, accelerator, cruise control, and gear shifter and from acceleration and deceleration data from vehicle dynamics sensors; and

means for indicating acceleration and deceleration of the vehicle using lights on the front and rear of the vehicle.

11. The system of claim 1, further comprising:

a broadcasting system for broadcasting vehicle intent to nearby vehicles and other users using over a data link.

12. A method for automating automobile turn and lane change signaling comprising the steps of:

receiving vehicle dynamics inputs including one or more of vehicle position, velocity and acceleration,

receiving driver control inputs, including one or more of pedal position, throttle position, gear shift position, and steering wheel position,

retrieving stored vehicle path data,

comparing, in vehicle path estimator, the vehicle dynamic inputs and driver control inputs to stored vehicle path data to determine a probability that the vehicle is following at least a portion of a stored vehicle path, and

determining, in a turn signal decision estimator, a probability that at least one of a turn or lane change is to occur, and if the probability exceeds a predetermined probability threshold, outputting an output signal that a turn signal should be activated, in advance of the at least one of a turn or lane change.

13. The method of claim 12, further comprising the steps of:

receiving the output signal in an in-dash indicator coupled to the turn signal estimator, and activating the in-dash indicator in response to the output signal to remind a driver that turn signal should be activated shortly, and

receiving, in a driver manual selection input, control signals from a driver to activate a turn signal,

wherein if a driver does not activate the turn signal in response to the in-dash indicator, the vehicle path estimator adjusts the probability that the vehicle is following at least a portion of a stored vehicle path downward, and

wherein if a driver activates the turn signal in response to the in-dash indicator, the vehicle path estimator adjusts the probability that the vehicle is following at least a portion of a stored vehicle path upward.

14. The method of claim 12, further comprising:

receiving the output signal in an in-dash indicator coupled to the turn signal estimator and indicating to a driver that turn signal is to be activated shortly, and

receiving, in a driver manual selection input, control signals from a driver to override an automatically generated turn signal generated by the turn signal decision estimator,

wherein if a driver overrides an automatically generated turn signal, the vehicle path estimator adjusts the probability that the vehicle is following at least a portion of a stored vehicle path downward, and

wherein if a driver does not overrides an automatically generated turn signal, the vehicle path estimator adjusts the probability that the vehicle is following at least a portion of a stored vehicle path upward.

15. The method of claim 12, further comprising the steps of:

receiving in the vehicle path estimator, current time and day of week data, and

comparing, in the vehicle path estimator, current vehicle path with stored vehicle paths on similar times and days of week to determine probability that the vehicle is following a stored vehicle path.

16. The method of claim 12, further comprising the steps of:

receiving, in the vehicle path estimator, route guidance data from a route guidance system, and

estimating, in the vehicle path estimator, vehicle path from the route guidance data.

17. The method of claim 12, further comprising the steps of:

receiving, in the turn signal decision estimator, vehicle dynamics inputs including one or more of acceleration and deceleration data, and

determining, in the turn signal decision estimator, a probability that a turn is going to occur based upon one or more of acceleration and deceleration data from vehicle dynamics inputs as the vehicle approaches an intersection.

18. The method of claim 12, further comprising the steps of:

receiving, in the turn signal decision estimator, human inputs including one or more of brake pedal action data and accelerator pedal action data, and

determining, in the turn signal decision estimator, a probability that a turn is going to occur based upon one or more one or more of brake pedal action data and accelerator pedal action as the vehicle approaches an intersection.

19. The method of claim 12, further comprising the steps of:

receiving, in the turn signal decision estimator, human inputs including one or more of gear shifting, cruise control selection, and turn signal selection, and

determining, in the turn signal decision estimator, wherein the turn signal decision estimator determines a probability that a turn is going to occur based upon one or more one or more of include gear shifting, cruise control selection, and turn signal selection as the vehicle approaches an intersection.

20. The method of claim 12, further comprising the steps of:

determining, in the turn decision estimator, when a turn has been completed, and

canceling a turn signal when the turn has been completed.

21. The method of claim 12, further comprising the steps of:

determining deceleration and acceleration of the vehicle from one or more of the driver'"'"'s use of the brake, accelerator, cruise control, and gear shifter and from acceleration and deceleration data from vehicle dynamics sensors; and

indicating acceleration and deceleration of the vehicle using lights on the front and rear of the vehicle.

22. The method of claim 12, further comprising the step of:

broadcasting vehicle intent to nearby vehicles and other users using over a data link.