US 12,353,216 B2
Removable automotive LIDAR data collection pod
Nathaniel Gist, IV, Pittsburgh, PA (US); and Christopher Williams, Pittsburgh, PA (US)
Assigned to Aurora Operations, Inc., Pittsburgh, PA (US)
Filed by Aurora Operations, Inc., Pittsburgh, PA (US)
Filed on May 21, 2024, as Appl. No. 18/670,554.
Application 18/670,554 is a continuation of application No. 18/195,341, filed on May 9, 2023, granted, now 12,007,781.
Application 18/195,341 is a continuation of application No. 17/516,240, filed on Nov. 1, 2021, granted, now 11,681,298, issued on Jun. 20, 2023.
Application 17/516,240 is a continuation of application No. 16/271,355, filed on Feb. 8, 2019, granted, now 11,163,312, issued on Nov. 2, 2021.
Claims priority of provisional application 62/755,167, filed on Nov. 2, 2018.
Prior Publication US 2024/0310837 A1, Sep. 19, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. G05D 1/02 (2020.01); B60R 11/04 (2006.01); G05D 1/00 (2006.01); G05D 1/245 (2024.01); G05D 1/247 (2024.01); G05D 1/248 (2024.01); G05D 1/249 (2024.01); G06F 13/42 (2006.01); B60R 11/00 (2006.01)
CPC G05D 1/0231 (2013.01) [B60R 11/04 (2013.01); G05D 1/027 (2013.01); G05D 1/0276 (2013.01); G05D 1/0278 (2013.01); G05D 1/245 (2024.01); G05D 1/247 (2024.01); G05D 1/248 (2024.01); G05D 1/249 (2024.01); G06F 13/4282 (2013.01); B60R 2011/004 (2013.01); B60R 2011/0068 (2013.01); B60R 2011/007 (2013.01); G06F 2213/0002 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A method of collecting diverse driving data, the method comprising:
for each of a plurality of removable pods each respectively attached to a unique vehicle in an environment:
collecting respective environmental data of the environment using one or more sensors of a respective removable pod,
recording the respective environmental data collected using the respective removable pod and corresponding vehicle data that corresponds to the respective environmental data,
determining time stamps for each instance of the respective environmental data and time stamps for each instance of the corresponding vehicle data using a respective computing device connected to the respective removable pod,
generating a respective aggregation of the time stamped instances of the respective environmental data and the time stamped instances of the corresponding vehicle data using the respective computing device, and
transmitting, to a remote server, the respective aggregation of the time stamped instances of the respective environmental data and the time stamped instances of the corresponding vehicle data;
aggregating, at the remote server, the time stamped instances of vehicle data and environmental data from the plurality of removable pods,
wherein each of the unique vehicles is attached to at least one removable pod;
generating training data for a machine learning model based on the time stamped instances of vehicle data and environmental data from the plurality of removable pods; and
training, based on the training data, the machine learning model, to generate control signals for an autonomous vehicle.