Systems and methods for determining the status of a turn lane traffic light
Systems and methods use cameras to provide autonomous navigation features. In one implementation, a traffic light detection system is provided for a vehicle. One or more processing devices associated with the system receive at least one image of an area forward of the vehicle via a data interface, with the area including at least one traffic lamp fixture having at least one traffic light. The processing device(s) determine, based on at least one indicator of vehicle position, whether the vehicle is in a turn lane. Also, the processing device(s) process the received image(s) to determine the status of the traffic light, including whether the traffic light includes an arrow. Further, the system may cause a system response based on the determination of the status of the traffic light, whether the traffic light includes an arrow, and whether the vehicle is in a turn lane.
1. A traffic light detection system for a vehicle, the system comprising:
at least one image capture device configured to acquire a plurality of images of an area forward of the vehicle, the area including a traffic lamp fixture having at least one traffic light;
a data interface; and
at least one processing device configured to:
receive the plurality of acquired images via the data interface;
determine, based on analysis of at least two of the plurality of images, a change in a relative distance between at least two traffic lamp fixtures included in the at least two of the plurality of images;
determine a distance from the vehicle to an intersection based on the change in the relative distance;
determine, based on analysis of at least one of the plurality of images, a status of the traffic light; and
cause a system response based on the determination of the status of the traffic light and the distance from the vehicle to the intersection.
2. The traffic light detection system of claim 1 , wherein the at least one processing device is further configured to determine, based on analysis of at least one of the plurality of images, at least one indicator of vehicle position including a lane marker.
3. The traffic light detection system of claim 2 , wherein the at least one indicator of vehicle position includes an arrow associated with the traffic lamp fixture.
4. The traffic light detection system of claim 2 , wherein the at least one indicator of vehicle position includes a vehicle location acquired by GPS.
5. The traffic light detection system of claim 1 , wherein the system response includes any of providing a notice to a driver of the vehicle, applying vehicle brakes, discontinuing cruise control, and initiating an automated turning maneuver.
6. The traffic light detection system of claim 1 , wherein determining a status of the traffic light includes any of determining whether the traffic light is illuminated, determining a position of the traffic light within the traffic lamp fixture, and determining a color associated with the traffic light.
7. The traffic light detection system of claim 1 , wherein the at least one processing device is further configured to determine, based on analysis of at least one of the plurality of images, whether an arrow exists in the at least one of the plurality of images within pixels of an image representative of the traffic light.
8. The traffic light detection system of claim 1 , wherein the determined status of the traffic light is that it is a blinking yellow light.
9. The traffic light detection system of claim 8 , wherein the at least one processing device is further configured to:
determine whether one or more vehicles are approaching the intersection from the opposite direction; and
if no vehicles are approaching the intersection from the opposite direction, cause the system response based on the determination of the status of the traffic light, the distance from the vehicle to the intersection, and the determination of whether one or more vehicles are approaching the intersection from the opposite direction,
wherein the system response includes any of providing a notice to a driver of the vehicle, applying vehicle brakes, discontinuing cruise control, and initiating an automated turning maneuver.
10. The traffic light detection system of claim 1 , wherein the at least one processing device is further configured to determine whether the vehicle is in a turn lane and whether the vehicle is authorized to proceed in the direction indicated by the determined status of the traffic light.
11. The traffic light detection system of claim 10 , wherein determining whether the vehicle is in the turn lane and whether the vehicle is authorized to proceed comprises determining whether to turn left, turn right, or continue straight through the intersection based on a predetermined destination for the vehicle.
12. A vehicle, comprising:
a body;
at least one image capture device configured to acquire a plurality of images of an area forward of the vehicle, the area including a traffic lamp fixture having at least one traffic light;
a data interface; and
at least one processing device configured to:
receive the plurality of acquired images via the data interface;
determine, based on analysis of at least two of the plurality of images, a change in a relative distance between at least two traffic lamp fixtures included in the at least two of the plurality of images;
determine a distance from the vehicle to an intersection based on the change in the relative distance;
determine, based on analysis of at least one of the plurality of images, a status of the traffic light; and
cause a system response based on the determination of the status of the traffic light and the distance from the vehicle to the intersection.
13. The vehicle of claim 12 , wherein the at least one processing device is further configured to determine, based on analysis of at least one of the plurality of images, at least one indicator of vehicle position including a lane marker.
14. The vehicle of claim 13 , wherein the at least one indicator of vehicle position includes a vehicle location acquired by GPS.
15. The vehicle of claim 12 , wherein the system response includes any of providing a notice to a driver of the vehicle, applying vehicle brakes, discontinuing cruise control, and initiating an automated turning maneuver.
16. The vehicle of claim 12 , wherein determining a status of the traffic light includes any of determining whether the traffic light is illuminated, determining a position of the traffic light within the traffic lamp fixture, and determining a color associated with the traffic light.
17. The vehicle of claim 12 , wherein the at least one processing device is further configured to determine, based on analysis of at least one of the plurality of images, whether an arrow exists in the at least one of the plurality of images within pixels of an image representative of the traffic light.
18. The vehicle of claim 12 , wherein the determined status of the traffic light is that it is a blinking yellow light, and the at least one processing device is further configured to:
determine whether one or more vehicles are approaching the intersection from the opposite direction; and
if no vehicles are approaching the intersection from the opposite direction, cause the system response based on the determination of the status of the traffic light, the distance from the vehicle to the intersection, and the determination of whether one or more vehicles are approaching the intersection from the opposite direction,
wherein the system response includes any of providing a notice to a driver of the vehicle, applying vehicle brakes, discontinuing cruise control, and initiating an automated turning maneuver.
19. The vehicle of claim 12 , wherein the at least one processing device is further configured to determine whether the vehicle is in a turn lane and whether the vehicle is authorized to proceed in the direction indicated by the determined status of the traffic light.
20. A method for traffic light detection, the method comprising:
acquiring, via at least one image capture device, a plurality of images of an area forward of a vehicle, the area including a traffic lamp fixture having at least one traffic light;
determining, based on analysis of at least two of the plurality of images, a change in a relative distance between at least two traffic lamp fixtures included in the at least two of the plurality of images;
determining a distance from the vehicle to an intersection based on the change in the relative distance;
determining, based on analysis of at least one of the plurality of images, a status of the traffic light; and
causing a system response based on the determination of the status of the traffic light and the distance from the vehicle to the intersection.
21. The method of claim 20 , further comprising determining, based on analysis of at least one of the plurality of images, at least one indicator of vehicle position including a lane marker.
22. The method of claim 21 , wherein the at least one indicator of vehicle position includes an arrow associated with the traffic lamp fixture.
23. The method of claim 21 , wherein the at least one indicator of vehicle position includes a vehicle location acquired by GPS.
24. The method of claim 20 , wherein the system response includes any of providing a notice to a driver of the vehicle, applying vehicle brakes, discontinuing cruise control, and initiating an automated turning maneuver.
25. The method of claim 20 , wherein determining a status of the traffic light includes any of determining whether the traffic light is illuminated, determining a position of the traffic light within the traffic lamp fixture, and determining a color associated with the traffic light.