Abstract: A multi-modal meter of a vehicle obtains information from multiple sources to determine the most accurate values of motion parameters of the vehicle. The multi-modal meter obtains data describing motion of a vehicle from various sources including an on-board diagnostics (OBD) and global positioning system (GPS.) The dynamically evaluates the signal sources for their accuracy as the vehicle travels. The multi-modal meter selects different signal sources for different portions of a ride and uses the data from the selected signal sources to determine the most accurate motion parameters. The multi-modal meter use machine learning techniques to generate metadata used by an engine configured to determine the most accurate values of motion parameters of the vehicle.
Type:
Grant
Filed:
October 12, 2016
Date of Patent:
August 6, 2019
Assignee:
ATHENA VISION, LLC
Inventors:
Purshotam Rajani, Gaurav R. Nukala, Gokulnath Coimbatore Kannan, Blair R. Essy