US 12,409,867 B2
Autonomous driving mode assistance based on vehicle fleet data
Marco Broecker, Berlin (DE); and Kai Kuhr, Berlin (DE)
Assigned to CARIAD SE, Wolfsburg (DE)
Filed by CARIAD SE, Wolfsburg (DE)
Filed on Mar. 22, 2023, as Appl. No. 18/187,968.
Claims priority of application No. 10 2022 106 789.0 (DE), filed on Mar. 23, 2022.
Prior Publication US 2023/0303128 A1, Sep. 28, 2023
Int. Cl. B60W 60/00 (2020.01); B60W 40/06 (2012.01)
CPC B60W 60/0059 (2020.02) [B60W 40/06 (2013.01); B60W 60/0053 (2020.02)] 14 Claims
OG exemplary drawing
 
1. A method of controlling a control device including at least one processor device to assist with setting a partially autonomous driving mode in a vehicle fleet, the method comprising:
by the control device, receiving driving environmental data from a first motor vehicle sensor technology of a first motor vehicle, among motor vehicles in the vehicle fleet, which drives on a road section in an at least partially autonomous driving mode, the received driving environmental data being environmental data to operate the first motor vehicle in the at least partially autonomous driving mode,
providing a first road section model for the first motor vehicle with a first algorithm, recorded in the first motor vehicle, which maps the received driving environmental data on the road section,
performing a first examination of feasibility of the at least partially autonomous driving mode of the first motor vehicle based on the first road section model and the first algorithm, ascertaining if a result of the first examination satisfies a set feasibility criterion for the at least partially autonomous driving mode,
if the set feasibility criterion is not satisfied,
setting the road section as a check section,
ascertaining at least one second motor vehicle, from among the motor vehicles, with a second motor vehicle sensor technology identically constructed according to the first motor vehicle sensor technology of the first motor vehicle, wherein the at least one second motor vehicle is on a travel route including the check section and drives on the travel route so as to drive on the check section at a later point of time than the first motor vehicle,
generating an early warning signal, which describes a warning of a possible transition of a driving task to a driver of the at least one second motor vehicle, transferring the generated early warning signal to the at least one second motor vehicle, and outputting the generated early warning signal by an output device in a set time distance to the check section,
receiving driving environmental data regarding the check section from the second motor vehicle sensor technology of the at least one second motor vehicle which drives on the check section in an at least partially autonomous driving mode of the at least one second motor vehicle, the received driving environmental data regarding the check section being environmental data to operate the at least one second motor vehicle in the at least partially autonomous driving mode of the at least one second motor vehicle,
providing a second road section model for the at least one second motor vehicle with a second algorithm recorded in the at least one second motor vehicle, which maps the received driving environmental data regarding the check section on the check section,
performing a second examination of feasibility of an at least partially autonomous driving mode of the at least one second motor vehicle, based on the second road section model and the second algorithm, and ascertaining if a result of the second examination satisfies the set feasibility criterion for the at least partially autonomous driving mode,
performing an evaluation of the second algorithm with respect to the feasibility based on a comparison of the second examination of the second road section model by the second algorithm to the first examination of the first road section model by the first algorithm, and
setting for a target motor vehicle, among the motor vehicles, a target algorithm, from among the first algorithm and the second algorithm, which satisfies the set feasibility criterion with a highest probability, based on a comparison of the evaluation of the first algorithm and the second algorithm.