Pedestrian alert system
This document describes a pedestrian alert system that can draw a driver's attention to a pedestrian on or near a roadway. The described pedestrian alert system can help prevent collisions with pedestrians and other objects in poor visibility environments or when drivers may be distracted. For example, a system can determine a presence of an object in or near a travel path of a host vehicle. The system can also determine the object's position relative to the host vehicle and control a light bar to provide an indication of the object. The indication can have specific characteristics to indicate the object's position relative to the host vehicle. In this way, the described pedestrian alert system can utilize sensors to focus a driver's attention on an object before a potential crash occurs and reduce the number of traffic-related deaths.
1. A method for alerting a driver of a host vehicle, the method comprising:
determining, based on sensor data obtained from one or more exterior sensors of the host vehicle, a presence of an object in or near a travel path of the host vehicle;
determining, based on the sensor data, a position of the object relative to the host vehicle;
determining, based on other sensor data obtained from one or more interior sensors of the host vehicle, whether the driver of the host vehicle is distracted;
responsive to determining that the driver of the host vehicle is not distracted and the presence of the object in or near the travel path of the host vehicle, controlling a light bar within an interior of the host vehicle to provide an indicator with one or more first characteristics, the one or more first characteristics indicating at least the position of the object relative to the host vehicle; or
responsive to determining that the driver of the host vehicle is distracted and the presence of the object in or near the travel path of the host vehicle, controlling the light bar to provide the indicator with one or more second characteristics, the one or more second characteristics being different from the one or more first characteristics.
2. The method of claim 1 , wherein:
the one or more first characteristics include a first color of the indicator; and
the one or more second characteristics include flashing of the indicator.
3. The method of claim 2 , wherein:
the one or more second characteristics further include a second color of the indicator, the second color being different than the first color.
4. The method of claim 2 , wherein:
the first color indicates a likelihood of a collision between the host vehicle and the object.
5. The method of claim 1 , wherein:
the method further comprises determining, based on the sensor data, a classification of an object type for the object; and
the one or more first characteristics and the one or more second characteristics further indicate the classification of the object type for the object.
6. The method of claim 5 , wherein the classification of the object type includes one of a pedestrian, a bicyclist, an animal, or a person on a scooter.
7. The method of claim 1 , wherein determining whether the driver of the host vehicle is distracted comprises:
determining whether a gaze of the driver is not directed toward the travel path of the host vehicle;
determining whether the gaze of the driver is not directed toward the object; or
determining whether the gaze of the driver is directed away from the travel path of the host vehicle.
8. A system comprising one or more processors configured to:
determine, based on sensor data obtained from one or more exterior sensors of a host vehicle, a presence of an object in or near a travel path of the host vehicle;
determine, based on the sensor data, a position of the object relative to the host vehicle;
determine, based on other sensor data obtained from one or more interior sensors of the host vehicle, whether the driver of the host vehicle is distracted;
responsive to a determination that the driver of the host vehicle is not distracted and the presence of the object in or near the travel path of the host vehicle, control a light bar within an interior of the host vehicle to provide an indicator with one or more first characteristics, the one or more first characteristics indicating at least the position of the object relative to the host vehicle; or
responsive to a determination that the driver of the host vehicle is distracted and the presence of the object in or near the travel path of the host vehicle, controlling the light bar to provide the indicator with one or more second characteristics, the one or more second characteristics being different from the one or more first characteristics.
9. The system of claim 8 , wherein:
the one or more first characteristics include a first color of the indicator; and
the one or more second characteristics include flashing of the indicator.
10. The system of claim 9 , wherein:
the one or more second characteristics further include a second color of the indicator, the second color being different than the first color.
11. The system of claim 9 , wherein:
the first color indicates a likelihood of a collision between the host vehicle and the object.
12. The system of claim 8 , wherein:
the one or more processors are further configured to determine, based on the sensor data, a classification of an object type for the object; and
the one or more first characteristics and the one or more second characteristics further indicate the classification of the object type for the object.
13. The system of claim 12 , wherein the classification of the object type includes one of a pedestrian, a bicyclist, an animal, or a person on a scooter.
14. The system of claim 8 , wherein the one or more processors are configured to determine whether the driver of the host vehicle is distracted by:
determining whether a gaze of the driver is not directed toward the travel path of the host vehicle;
determining whether the gaze of the driver is not directed toward the object; or
determining whether the gaze of the driver is directed away from the travel path of the host vehicle.
15. The system of claim 8 , wherein the one or more interior sensors are positioned to have a view of a head of the driver of the host vehicle.
16. The system of claim 8 , wherein the light bar is positioned on or in a dashboard of the host vehicle.
17. The system of claim 8 , wherein the light bar is integrated into a display on, in, or near a dashboard of the host vehicle.
18. A non-transitory computer-readable storage medium comprising computer-executable instructions that, when executed, cause a processor to:
determine, based on sensor data obtained from one or more exterior sensors of a host vehicle, a presence of an object in or near a travel path of the host vehicle;
determine, based on the sensor data, a position of the object relative to the host vehicle;
determine, based on other sensor data obtained from one or more interior sensors of the host vehicle, whether the driver of the host vehicle is distracted;
responsive to a determination that the driver of the host vehicle is not distracted and the presence of the object in or near the travel path of the host vehicle, control a light bar within an interior of the host vehicle to provide an indicator with one or more first characteristics, the one or more first characteristics indicating at least the position of the object relative to the host vehicle; or
responsive to a determination that the driver of the host vehicle is distracted and the presence of the object in or near the travel path of the host vehicle, controlling the light bar to provide the indicator with one or more second characteristics, the one or more second characteristics being different from the one or more first characteristics.
19. The non-transitory computer-readable storage medium of claim 18 , wherein:
the one or more first characteristics include a first color of the indicator; and
the one or more second characteristics include flashing of the indicator.
20. The non-transitory computer-readable storage medium of claim 18 , wherein:
the non-transitory computer-readable storage medium comprises additional computer-executable instructions that, when executed, cause the processor to determine, based on the sensor data, a classification of an object type for the object; and
the one or more first characteristics and the one or more second characteristics further indicate the classification of the object type for the object.