Detecting street parked vehicles
Aspects of the disclosure relate to an autonomous vehicle that may detected other nearby vehicles and identify them as parked or unparked. This identification may be based on visual indicia displayed by the detected vehicles as well as traffic control factors relating to the detected vehicles. Detected vehicles that are in a known parking spot may automatically be identified as parked. In addition, detected vehicles that satisfy conditions that are indications of being parked may also be identified as parked. The autonomous vehicle may then base its control strategy on whether or not a vehicle has been identified as parked or not.
1 . A method comprising:
observing, by one or more processors of a first vehicle and using one or more sensors of the first vehicle, (1) a second vehicle being stationary at a first location for at least a set amount of time and (2) motion of the second vehicle prior to becoming stationary at the first location;
determining, by the one or more processors, that the second vehicle is a parked vehicle based on a combination of the observation of the second vehicle being stationary for at least the set amount of time and the observation of the motion of the second vehicle prior to becoming stationary at the first location; and
controlling, by the one or more processors, the first vehicle in an autonomous driving mode based on the determination that the second vehicle is a parked vehicle.
2 . The method of claim 1 , further comprising, prior to determining that the second vehicle is a parked vehicle, determining that the second vehicle is possibly parked when the second vehicle is not in a designated parking space.
3 . The method of claim 2 , wherein the determination that the second vehicle is a parked vehicle is further based on a characteristic of the first location and at least one of a plurality of conditions indicative of being parked.
4 . The method of claim 3 , wherein the plurality of conditions includes the second vehicle being within a certain distance from a side of a road.
5 . The method of claim 3 , wherein the plurality of conditions includes the second vehicle being a certain distance away from an intersection.
6 . The method of claim 3 , wherein the plurality of conditions includes the second vehicle having specific visual indicia.
7 . The method of claim 3 , wherein the plurality of conditions includes the second vehicle facing a certain angle in relation to a side of a road.
8 . The method of claim 3 , wherein the plurality of conditions includes the second vehicle having a person exit the second vehicle from a driver's side of the second vehicle.
9 . The method of claim 3 , wherein the plurality of conditions includes the second vehicle leaving a certain amount of space on a side of the second vehicle for passing other vehicles.
10 . The method of claim 3 , wherein the plurality of conditions includes the second vehicle being at a type of intersection that does not require slowing or stopping.
11 . The method of claim 3 , wherein the plurality of conditions includes the second vehicle being at a location at which the second vehicle can legally park.
12 . The method of claim 3 , wherein the plurality of conditions includes the second vehicle being in a group with other stationary vehicles that are stopped within a certain distance from a side of a road.
13 . The method of claim 3 , wherein the plurality of conditions includes the second vehicle having no significant changes in position as determined by the one or more sensors of the first vehicle.
14 . The method of claim 3 , wherein the determination that the second vehicle is a parked vehicle is further based on the at least one of a plurality of conditions remaining unchanged during a certain length of time.
15 . The method of claim 3 , wherein the characteristic of the first location includes at least one of the first location being a designated parking space, the first location being a curb, a city ordinance related to parking, or the first location being defined in pre-stored map information.
16 . The method of claim 3 , wherein the characteristic of the first location is a color of a curb.
17 . The method of claim 1 , further comprising:
determining, by the one or more processors, a threshold length of time based on the motion of the second vehicle before becoming stationary.
18 . The method of claim 1 , wherein the observation of the motion of the second vehicle before becoming stationary includes observing the second vehicle moving at a particular speed.
19 . The method of claim 18 , further comprising, determining a value for the set amount of time based on the particular speed.
20 . A first vehicle comprising:
one or more sensors; and
one or more processors configured to:
observe, using the one or more sensors, (1) a second vehicle being stationary at a first location for at least a set amount of time and (2) motion of the second vehicle prior to becoming stationary at the first location;
determine that the second vehicle is a parked vehicle based on a combination of the observation of the second vehicle being stationary for at least the set amount of time and the observation of the motion of the second vehicle prior to becoming stationary at the first location; and
control the first vehicle in an autonomous driving mode based on the determination that the second vehicle is a parked vehicle.
21 . The system-first vehicle of claim 20 , wherein the observation of the motion of the second vehicle before becoming stationary includes observing the second vehicle moving at a particular speed.
22 . The first vehicle of claim 21 , wherein the one or more processors are further configured to determine a value for the set amount of time based on the particular speed.
23 . A non-transitory, computer readable medium on which instructions are store, the instructions when executed by one or more processors, cause the one or more processors of a first vehicle to perform a method, the method comprising:
observing, using one or more sensors of the first vehicle, (1) a second vehicle being stationary at a first location for at least a set amount of time and (2) motion of the second vehicle prior to becoming stationary at the first location;
determining that the second vehicle is a parked vehicle based on a combination of the observation of the second vehicle being stationary for at least the set amount of time and the observation of the motion of the second vehicle prior to becoming stationary at the first location; and
controlling the first vehicle in an autonomous driving mode based on the determination that the second vehicle is a parked vehicle.
24 . The system of claim 20 , wherein the observation of the motion of the second vehicle before becoming stationary includes observing the second vehicle moving at a particular speed and the one or more processors are further configured to determine a value for the set amount of time based on the particular speed.