Techniques for detecting cross-talk interferences in LiDAR imaging sensors
A LiDAR system includes one or more light sources configured to emit a set of light pulses in a temporal sequence with randomized temporal spacings between adjacent light pulses, one or more detectors configured to receive a set of return light pulses, and a processor configured to: determine a time of flight for each return light pulse of the set of return light pulses; and obtain a point cloud based on the times of flight of the set of return light pulses. Each point corresponds to a respective return light pulse. The processor is further configured to, for each respective point of the set of points in the point cloud: analyze spatial and temporal relationships between the respective point and a set of neighboring points in the set of points; and evaluate a quality factor for the respective point based on the spatial and temporal relationships.
1. A LiDAR system comprising:
a plurality of light sources disposed as an array and configured to emit a plurality of sets of light pulses to be directed toward a scene within a field of view of the LiDAR system, wherein each respective set of light pulses comprises a plurality of light pulses in a temporal sequence, each respective light pulse being emitted by a respective light source of the plurality of light sources;
a plurality of detectors disposed as an array, each respective detector corresponding to a respective light source, the plurality of detectors configured to detect a plurality of return light pulses, at least a subset of the plurality of return light pulses corresponding to the plurality of sets of light pulses that have been reflected off of one or more objects in the scene; and
a processor coupled to the plurality of light sources and the plurality of detectors, the processor configured to:
determine a time of flight for each respective return light pulse of the plurality of return light pulses;
obtain a point cloud based on the times of flight of the plurality of return light pulses, the point cloud including a plurality of points representing one or more surfaces of the one or more objects, each respective point corresponding to a respective return light pulse; and
for each respective point in the point cloud:
analyze spatial and temporal relationships between the respective point and neighboring points in the point cloud; and
evaluate a quality factor for the respective point based on the spatial and temporal relationships.
2. The LiDAR system of claim 1 wherein:
the point cloud includes a plurality of points from rain, fog, or snow; and
evaluating the quality factor for the respective point based on spatial and temporal relationships distinguishes object points from the plurality of points from rain, fog, or snow.
3. The LiDAR system of claim 1 wherein the plurality of light pulses in each respective set of light pulses is separated from each other by unique time delays.
4. The LiDAR system of claim 1 wherein each set of light pulses of the plurality of sets of light pulses is emitted by the plurality of light sources in a same sequential order.
5. The LiDAR system of claim 1 wherein:
a first set of light pulses of the plurality of sets of light pulses is emitted by the plurality of light sources in a first sequential order; and
a second set of light pulses of the plurality of sets of light pulses is emitted by the plurality of light sources in a second sequential order that is different from the first sequential order.
6. The LiDAR system of claim 1 wherein analyzing the spatial and temporal relationships between the respective point and the neighboring points comprises:
for each respective neighboring point, evaluating a partial quality factor that is inversely proportional to a spatial and temporal separation between the respective point and the respective neighboring point; and
evaluating a sum of partial quality factor values of the neighboring points.
7. The LiDAR system of claim 6 wherein the spatial and temporal separation between the respective point and the respective neighboring point relates to an angular separation, a range separation, and a temporal separation.
8. A method of operating a LiDAR system, the method comprising:
emitting, using a plurality of light sources disposed as an array, a plurality of sets of light pulses to be directed toward a scene within a field of view of the LiDAR system, wherein each respective set of light pulses comprises a plurality of light pulses in a temporal sequence, each respective light pulse being emitted by a respective light source of the plurality of light sources;
detecting, using a plurality of detectors disposed as an array, a plurality of return light pulses, wherein each respective detector corresponds to a respective light source, and at least a subset of the plurality of return light pulses corresponds to the plurality of sets of light pulses that have been reflected off of one or more objects in the scene;
determining a time of flight for each respective return light pulse of the plurality of return light pulses;
obtaining a point cloud based on the times of flight of the plurality of return light pulses, the point cloud including a plurality of points representing one or more surfaces of the one or more objects, each respective point corresponding to a respective return light pulse; and
for each respective point in the point cloud:
analyzing spatial and temporal relationships between the respective point and neighboring points in the point cloud; and
evaluating a quality factor for the respective point based on the spatial and temporal relationships.
9. The method of claim 8 wherein:
the point cloud includes a plurality of points from rain, fog, or snow; and
evaluating the quality factor for the respective point based on spatial and temporal relationships distinguishes object points from the plurality of points from rain, fog, or snow.
10. The method of claim 8 wherein the plurality of light pulses in each respective set of light pulses is separated from each other by unique time delays.
11. The method of claim 8 wherein each set of light pulses of the plurality of sets of light pulses is emitted by the plurality of light sources in a same sequential order.
12. The method of claim 8 wherein:
a first set of light pulses of the plurality of sets of light pulses is emitted by the plurality of light sources in a first sequential order; and
a second set of light pulses of the plurality of sets of light pulses is emitted by the plurality of light sources in a second sequential order that is different from the first sequential order.
13. The method of claim 8 wherein analyzing the spatial and temporal relationships between the respective point and the neighboring points comprises:
for each respective neighboring point, evaluating a partial quality factor that is inversely proportional to a spatial and temporal separation between the respective point and the respective neighboring point; and
evaluating a sum of partial quality factor values of the neighboring points.
14. The method of claim 13 wherein the spatial and temporal separation between the respective point and the respective neighboring point relates to an angular separation, a range separation, and a temporal separation.
15. The LiDAR system of claim 3 wherein the unique time delays are randomized time delays.
16. The method of claim 10 wherein the unique time delays are randomized time delays.
17. A LiDAR system comprising:
a plurality of light sources disposed as an array and configured to emit a plurality of sets of light pulses to be directed toward a scene within a field of view of the LiDAR system, wherein each respective set of light pulses comprises a plurality of light pulses in a temporal sequence, each respective light pulse being emitted by a respective light source of the plurality of light sources;
a plurality of detectors disposed as an array, each respective detector corresponding to a rerspective light source, the plurality of detectors configured to detect a plurality of return light pulses, at least a subset of the plurality of return light pulses corresponding to the plurality of sets of light pulses that have been reflected off of one or more objects in the scene; and
a processor coupled to the plurality of light sources and the plurality of detectors, the processor configured to:
determine a time of flight for each respective return light pulse of the plurality of return light pulses;
obtain a point cloud based on the times of flight of the plurality of return light pulses, the point cloud including a plurality of points representing one or more surfaces of the one or more objects, and the point cloud including a plurality of points from rain, fog, or snow, each respective point corresponding to a respective return light pulse; and
for each respective point in the point cloud:
analyze spatial and temporal relationships between the respective point and neighboring points in the point cloud; and
evaluate a quality factor for the respective point based on the spatial and temporal relationships that distinguishes object poionts from the plurality of points from rain, for, or snow.
18. The LiDAR system of claim 17 wherein the plurality of light pulses in each respective set of light pulses is temporally separated from each other by unique time delays.
19. The LiDAR system of claim 18 wherein the unique time delays are randomized time delays.
20. The LiDAR system of claim 17 wherein:
a first set of light pulses of the plurality of sets of light pulses is emitted by the plurality of light sources in a first sequential order; and
a second set of light pulses of the plurality of sets of light pulses is emitted by the plurality of light sources in a second sequential order that is different from the first sequential order.