Aggregated Lidars and Cameras Sequence
This feature is new in version 1.1.5
An AggregatedLidarsAndCamerasSeq scene consists of a sequence of camera images and lidar point clouds, where each
frame consists on 1-9 camera images as well as 1-20 point clouds (in the case where you have pre-aggregated your point clouds, the first frame consists of 1-20 point clouds and all other frames 0 point clouds). What differentiates AggregatedLidarsAndCamerasSeq
from LidarsAndCamerasSeq is that point clouds are aggregated over time during annotation which results in one big
point cloud in the coordinate system of the first frame. Therefore, ego motion data is mandatory for this type of
scene. For more documentation on what each field corresponds to in the AggregatedLidarsAndCamerasSeq object please
check the section related to Scene Overview.
Refer to Coordinate Systems for more information about what coordinate systems to use.
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Setting dryrun parameter to true in the method call, will validate the scene using the API but not create it.
Note that you can, and should, reuse the same calibration for multiple s if possible.