Denso International America, Inc.

Denso Corporation

Ravi Akella

Yunfei Xu

Haris Volos

Takashi Bando

Yoshitaka Tanemura

Takafumi Okayasu

An example computer system includes memory hardware configured to store a machine learning model and historical driving data vector inputs, and processor hardware configured to execute instructions including training the machine learning model with the historical driving data vector inputs to generate a reconstructed driving data output, wherein the reconstructed driving data output includes at least one reconstruction error score indicative of a likelihood that a driving data input corresponds to a desired driving behavior, obtaining a current driving data input, and supplying the current driving data input to the machine learning model to generate a reconstruction error score based on the current driving data input. The instructions may include determining a driving score according to the reconstruction error score, identifying at least one driver notification according to the determined driving score, and transmitting the identified at least one driver notification to a computing device or display.

Systems and machine learning models for automated vehicle monitoring

A system for setting parameters within a first vehicle for a first user of the first vehicle is provided and includes a memory, transceiver, and a processing module. The memory stores normalized parameters, which are specific to the first user. Each of the normalized parameters is a parameter of the vehicle. The transceiver receives the normalized parameters from a mobile device of the first user, a server in a cloud-based network, or a portable memory device. The processing module: determines whether the first user is authorized for parameter translation services; if the first user is authorized for parameter translation services, translates the normalized parameters to resultant parameters; generates parameter recommendations based on the resultant parameters; presents the parameter recommendations to the first user; and adjusts current parameters of the first vehicle based on the resultant parameters and a received response from the first user with regards to the parameter recommendations.

Vehicle recommendation and translation system for setting personalized parameters within vehicles of mobility sharing environments

An automatic external incident detection and reporting system for a vehicle includes at least one of a plurality of cameras and a plurality of proximity sensors, an incident determination unit, a remote vehicle or object position determination unit, and a communication unit. The incident determination unit is configured to receive signals from the at least one of the cameras and proximity sensors, detect whether an external incident has occurred, and determine a type of incident. The remote vehicle or object position determination unit is configured to receive signals from the at least one of the cameras and proximity sensors and determine an incident location. The communication unit is configured to transmit at least the incident location and the type of incident to remote vehicles, to a local access point, or to share the incident location and the type of incident through a crowd-sourcing manner if the external incident has occurred.

Automatic crowd sensing and reporting system for road incidents

An automatic traffic incident detection and reporting system for a vehicle may include at least one of a plurality of cameras and a plurality of proximity sensors, an incident determination unit, a remote vehicle position determination unit, and a communication unit. The incident determination unit is configured to receive signals from the at least one of the plurality of cameras and the plurality of proximity sensors, detect whether incident involving at least one remote vehicle has occurred, and categorize the incident. The remote vehicle position determination unit is configured to receive signals from the at least one of the plurality of cameras and the plurality of proximity sensors and determine a location of the incident. The communication unit is configured to transmit data related to the incident to at least one of a cloud server and an emergency service provider.

Automatic traffic incident detection and reporting system

A method for dynamic vehicle customization and message generation for a vehicle is disclosed. The method includes receiving static vehicle data, user settings, and vehicle operational data from at least one sensor associated with a vehicle. The method includes determining a signature based on the static vehicle data, the user settings, and the vehicle operational data. The method includes identifying a user profile from a list of user profiles based on the signature. The method includes receiving public edge data from a public edge module and cloud data from a cloud module. The public edge data represents information related to at least one of localized traffic and road conditions, and the cloud data represents information related to at least one of traffic and road conditions of the integrated roadway system. The method includes generating a message based on the user profile, the public edge data, and the cloud data.

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San Jose, CA, United States of America

Ravi Akella