US 12,272,189 B2
Autonomous driving system component fault prediction
Atchyuth Gorti, Austin, TX (US); David Glasco, Austin, TX (US); and Daniel William Bailey, Austin, TX (US)
Assigned to Tesla, Inc., Austin, TX (US)
Filed by Tesla, Inc., Austin, TX (US)
Filed on Apr. 10, 2023, as Appl. No. 18/298,152.
Application 18/298,152 is a continuation of application No. 16/954,755, granted, now 11,640,733, previously published as PCT/US2018/063996, filed on Dec. 5, 2018.
Claims priority of provisional application 62/610,188, filed on Dec. 23, 2017.
Prior Publication US 2023/0274591 A1, Aug. 31, 2023
Int. Cl. G07C 5/08 (2006.01); B60W 60/00 (2020.01); G06N 20/00 (2019.01)
CPC G07C 5/0816 (2013.01) [B60W 60/001 (2020.02); G06N 20/00 (2019.01); G07C 5/0808 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A vehicular autonomous driving system comprising:
a plurality of autonomous driving components including:
a plurality of autonomous drive units that control motion of a vehicle;
an autonomous driving controller configured to control the plurality of autonomous drive units of the vehicle;
a plurality of autonomous driving sensors coupled to the autonomous driving controller and configured to collect autonomous driving data and transmit the autonomous driving data to the autonomous driving controller;
a fault prediction unit, including a processor and memory, configured to predict a potential future fault condition by:
monitoring life accelerating events data associated with the plurality of autonomous driving components;
updating an expected component life associated with the plurality of autonomous driving components, wherein updating includes decreasing the expected component life associated with a selected one of the plurality of autonomous driving components in response to the life accelerating events data indicating a life accelerating event associated with the selected one of the plurality of autonomous driving components; and
determining the potential future fault condition of one of the plurality of autonomous driving components based on when a service time of the one of the plurality of autonomous driving components exceeds the expected component life associated with the one of the plurality of autonomous driving components,
wherein the fault prediction unit maintains a data structure indicative of, at least, a likelihood associated with the updated expected component life, and wherein the likelihood is set based on relative importance of the selected one of the plurality of autonomous driving components to autonomous driving.