INTELLIGENTLY GENERATING COMPUTER MODEL LEARNING DATA BY DISPATCHING ENHANCED SENSORY VEHICLES UTILIZING DATA COLLECTION VALUES

• Main Authors: Danna, Emilie Jeanne Anne, Richard de Capele d'Hautpoul, Guy-Baptiste
• Format: Patent
• Language: English
• Published: 13.10.2022
• Subjects: CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE ORDIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; GYROSCOPIC INSTRUMENTS; MEASURING; MEASURING DISTANCES, LEVELS OR BEARINGS; NAVIGATION; PERFORMING OPERATIONS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY; PHYSICS; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TOTHE CONTROL OF A PARTICULAR SUB-UNIT; SIGNALLING; SURVEYING; TESTING; TRAFFIC CONTROL SYSTEMS; TRANSPORTING; VEHICLES IN GENERAL

The present disclosure relates to systems, non-transitory computer-readable media, and methods for determining data collection values for enhanced sensor provider vehicles in a provider vehicle pool and utilizing the data collection values to select and dispatch a provider vehicle for a transportation request. In particular, in one or more embodiments, the disclosed systems determine data collection values based on various route features for a particular enhanced sensor provider vehicle. Additionally, in one or more embodiments, the disclosed systems can utilize the data collection values in conjunction with a device matching algorithm and transportation values to select and dispatch a provider vehicle. Further, in some embodiments, the disclosed systems utilize collected sensory data to train one or more computer implemented machine learning models, such as an autonomous vehicle driving model.