Determining specular reflectivity characteristics using LiDAR
Aspects of the present disclosure involve systems, methods, and devices for determining specular reflectivity characteristics of objects using a Lidar system of an autonomous vehicle (AV) system. A method includes transmitting at least two light signals directed at a target object utilizing the Lidar system of the AV system. The method further includes determining at least two reflectivity values for the target object based on return signals corresponding to the at least two light signals. The method further includes classifying specular reflectivity characteristics of the target object based on a comparison of the first and second reflectivity value. The method further includes updating a motion plan for the AV system based on the specular reflectivity characteristics of the target object.
1. A light detection and ranging (Lidar) system comprising:
one or more Lidar sensor units configured to:
transmit a first light signal and a second light signal towards an environment; and
in response to the first light signal and the second light signal, respectively, receive a first return signal and a second return signal that are reflected by an object in the environment; and
one or more processors configured to:
determine a first reflectivity value associated with the object based on the first return signal and a second reflectivity value associated with the object based on the second return signal;
determine a reflectivity characteristic of the object based on the first reflectivity value and the second reflectivity value; and
provide the reflectivity characteristic of the object to an autonomous vehicle control system.
2. The Lidar system of claim 1 , wherein to determine the reflectivity characteristic of the object based on the first reflectivity value and the second reflectivity value, the one or more processors are configured to:
compare the first reflectivity value and the second reflectivity value to a threshold value.
3. The Lidar system of claim 2 , wherein to determine the reflectivity characteristic, the one or more processors are configured to classify the reflectivity characteristic of the object as diffuse in response to determining the first reflectivity value or the second reflectivity value is less than the threshold value.
4. The Lidar system of claim 2 , wherein to determine the reflectivity characteristic of the object, the one or more processors are configured to classify the reflectivity characteristic of the object as specular in response to determining the first reflectivity value or the second reflectivity value is greater than the threshold value.
5. The Lidar system of claim 2 , wherein the threshold value corresponds to a level of specular reflectivity.
6. The Lidar system of claim 1 , wherein:
the first return signal is received at a first channel of a first Lidar sensor unit of the one or more Lidar sensor units; and
the second return signal is received at a second channel of the first Lidar sensor unit.
7. The Lidar system of claim 1 , wherein:
the first return signal is received at a first point in time; and
the second return signal is received at a second point in time, the second point in time being later than the first point in time.
8. The Lidar system of claim 1 , wherein:
the first return signal is received at a first Lidar sensor unit of the one or more Lidar sensor units; and
the second return signal is received at a second Lidar sensor unit of the one or more Lidar sensor units.
9. The Lidar system of claim 1 , wherein the one or more processors are further configured to:
obtain point data from at least one Lidar sensor unit of the one or more Lidar sensor units;
determine at least a portion of the point data corresponds to the object; and
in response to determining the at least a portion of the point data corresponds to the object, process the point data based on the reflectivity characteristic of the object.
10. The Lidar system of claim 9 , wherein to process the point data based on the reflectivity characteristic, the one or more processors are configured to filter the point data based on the reflectivity characteristic.
11. An autonomous vehicle control system configured to control a vehicle, the autonomous vehicle control system comprising:
a light detection and ranging (Lidar) system comprising one or more Lidar sensor units configured to:
transmit a first light signal and a second light signal towards an environment; and
in response to the first light signal and the second light signal, respectively, receive a first return signal and a second return signal that are reflected by an object in the environment; and
one or more processors configured to:
determine a first reflectivity value associated with the object based on the first return signal and a second reflectivity value associated with the object based on the second return signal;
determine a reflectivity characteristic of the object based on the first reflectivity value and the second reflectivity value; and
update a motion plan for the vehicle based on the reflectivity characteristic, the motion plan comprising a motion trajectory for controlling the vehicle.
12. The autonomous vehicle control system of claim 11 , wherein to determine the reflectivity characteristic of the object based on the first reflectivity value and the second reflectivity value, the one or more processors are configured to:
compare the first reflectivity value and the second reflectivity value to a threshold value.
13. The autonomous vehicle control system of claim 12 , wherein to determine the reflectivity characteristic, the one or more processors are configured to classify the reflectivity characteristic of the object as diffuse in response to determining the first reflectivity value or the second reflectivity value is less than the threshold value.
14. The autonomous vehicle control system of claim 12 , wherein to determine the reflectivity characteristic of the object, the one or more processors are configured to classify the reflectivity characteristic of the object as specular in response to determining the first reflectivity value or the second reflectivity value is greater than the threshold value.
15. The autonomous vehicle control system of claim 12 , wherein the threshold value corresponds to a level of specular reflectivity.
16. The autonomous vehicle control system of claim 11 , wherein:
the first return signal is received at a first channel of a first Lidar sensor unit of the one or more Lidar sensor units; and
the second return signal is received at a second channel of the first Lidar sensor unit.
17. The autonomous vehicle control system of claim 11 , wherein the one or more processors are further configured to:
obtain point data from at least one Lidar sensor unit of the one or more Lidar sensor units;
determine at least a portion of the point data corresponds to the object; and
in response to determining the at least a portion of the point data corresponds to the object, process the point data based on the reflectivity characteristic of the object.
18. The autonomous vehicle control system of claim 17 , wherein to process the point data based on the reflectivity characteristic, the one or more processors are configured to filter the point data based on the reflectivity characteristic.
19. The autonomous vehicle control system of claim 11 , wherein:
the first return signal is received at a first point in time; and
the second return signal is received at a second point in time, the second point in time being later than the first point in time.
20. An autonomous vehicle comprising:
a light detection and ranging (Lidar) system comprising one or more Lidar sensor units configured to:
transmit a first light signal and a second light signal towards an environment; and
in response to the first light signal and the second light signal, respectively, receive a first return signal and a second return signal that are reflected by an object in the environment; and
one or more processors configured to:
determine a first reflectivity value associated with the object based on the first return signal and a second reflectivity value associated with the object based on the second return signal;
determine a reflectivity characteristic of the object based on the first reflectivity value and the second reflectivity value; and
update a motion plan for the autonomous vehicle based on the reflectivity characteristic, the motion plan comprising a motion trajectory for controlling the autonomous vehicle.