A vehicle recommendation device and a method for machine learning based recommendation of vehicle is provided. The vehicle recommendation device receives vehicle log data from a plurality of sensors associated with each of a first set of vehicles. The first set of vehicles are classified based on a set of vehicle types. The vehicle recommendation device generates vehicle trip data, associated with a plurality of trips of each of the first set of vehicles, based on the received vehicle log data. The vehicle recommendation device further determines a set of features, associated with the plurality of trips or with information about the first set of vehicles, based on the generated vehicle trip data. The vehicle recommendation device further generates a machine learning model which is trained based on the determined set of features to output a first type of vehicle from the set of vehicle types.
System And Method Of Altering The Appearance Of Liquid And Solid Physical Objects Or Forms
Mark Fuller - Sun Valley CA, US James Doyle - Sun Valley CA, US Gautam Rangan - Sun Valley CA, US Scott Winslow - Sun Valley CA, US Isaiah Gernhardt - Sun Valley CA, US Ting Zhang - Sun Valley CA, US
International Classification:
H04N 9/31 H04N 5/262 H04N 5/247
Abstract:
A system and method for altering the visual appearance of moving physical forms is disclosed. The moving physical forms may include solids, liquids, gasses and any combination thereof. The system and method may include video capturing devices for capturing video footage of the moving forms, a controller for altering the captured video footage of the moving forms, and video projecting devices for projecting the altered video footage back onto the moving forms.
The present disclosure generally relates to methods and systems for determining usage of a vehicle. A vehicle monitoring system may include, a memory, at least one processor coupled to the memory, and a sensory system that generates vehicle trip data during a monitoring window. The vehicle monitoring system may partition the trip data into a base group and a contrast group. The vehicle monitoring system may calculate a similarity score between the contrast group and the base group. The vehicle monitoring system may determine that the vehicle has been used for commercial purposes in response to the similarity score satisfying a threshold.
The present disclosure generally relates to methods and systems for determining usage of a vehicle. A vehicle monitoring system may include a memory, at least one processor coupled to the memory, and a sensor system that generates vehicle trip data. The system may periodically determine a location of the vehicle during a trip while an ignition of the vehicle remains on. The system may determine that a duration of the trip is at least a threshold duration. The system may determine a direction of travel for segments between consecutive locations during the trip. The system may determine a ratio of a most common direction of travel for the trip to at least a second most common direction of travel for the trip. The system may determine that the vehicle has been used for commercial purposes in response to the ratio being less than a threshold ratio.
University of Waterloo - Systems Design Engineering
Ting Zhang
Work:
CCID - Consultant (2009)
Education:
Tsinghua University - Industrial Engineering
Ting Zhang
Work:
Google
Education:
University of Tokyo
Ting Zhang
Education:
Saint Louis University School of Medicine
Ting Zhang
Education:
University of Kentucky
Ting Zhang
Work:
Tencent Holdings - Prodect manager
Ting Zhang
Work:
Sisu - Lecturer
Ting Zhang
About:
Ting Zhang  is a Research Assistant Professor of The Jacob France Institute in the Merrick School of Business. Her research has been focused on labor, entrepreneurship, regional economy, and aging. M...