Gm Global Technolgoy Operations, Inc.

Prabhjot Kaur

Lawrence A Bush

Nicholas Constantine Sidiropoulos

Noah Sharkus

Gaurav Talwar

Alireza Esna Ashari Esfahani

Zachariah E Tyree

Shihchye Allen Lin

A language detection system includes data processing hardware and memory hardware in communication with the data processing hardware. The memory hardware stores instructions that when executed on the data processing hardware cause the data processing hardware to perform operations. The operations include issuing a vehicle prompt and determining responsiveness to the issued vehicle prompt, the responsiveness including an execution response and anon-responsive response. A language monitoring module is activated in response to the non-responsive response of the determined responsiveness and a spoken language is monitored within an interior cabin of a vehicle. A driver state is estimated based on the determined language, and a translation function is executed using a translation module in response to the estimated driver state.

Language detection system for a vehicle

A method for reducing parking violations includes: receiving, by a controller of a vehicle, sign information of one or more traffic signs in an area surrounding the vehicle, wherein the sign information is a time series of data acquired by a set of cameras as the vehicle moves, using the vehicle as a frame of reference; identifying, by the controller, a potential parking spot in an area surrounding the vehicle; determining, by the controller, using the sign information, whether the potential parking spot is valid or invalid for the vehicle; and generating, by the controller, a notification if the potential parking spot is invalid.

Intelligent park assist system with sign interpretation

Systems and methods are provided for detecting a blind spot of a vehicle. In one embodiment, a method includes: receiving, by a processor, head position data indicating a position of a head of a driver of the vehicle; determining, by the processor, pillar position data associated with at least one pillar of the vehicle; determining, by the processor, at least one angle based on the head position data and the pillar position data; determining, by the processor, at least one blind spot area based on the at least one angle; detecting, by the processor, at least one object within the at least one blind spot area; and generating at least one of notification data, decision data, and control data based on the at least one object.

Methods and systems for detecting blind spots

A control system for a subject vehicle includes an autonomous braking system, a forward monitoring sensor and a rearward monitoring sensor. The controller monitors a first speed of a first vehicle travelling in front of the subject vehicle and a second speed of a second vehicle travelling to the rear of the subject vehicle. A first gap-closing time is determined based upon the speed of the subject vehicle and the first speed of the first vehicle. A second gap-closing time is determined based upon the speed of the subject vehicle and the second speed of the second vehicle. The controller controls the speed of the subject vehicle based upon the first gap-closing time and the second gap-closing time when one of the first gap-closing time or the second gap-closing time is less than a first threshold time.

Method and subsystem for controlling an autonomous braking system for a vehicle

A driver monitoring system for a vehicle and method of operating the driver operating system. The method, in one implementation, involves receiving a plurality of glance aim points for a driver of the vehicle; inputting the plurality of glance aim points into a predictive probability of distraction model to obtain a predictive distraction distribution; determining whether one or more informative glance locations are present in the plurality of glance aim points; comparing the predictive distraction distribution to a predictive distraction distribution threshold when one or more informative glance locations are present in the plurality of glance aim points; and alerting the driver when the predictive distraction distribution satisfies or exceeds the predictive distraction distribution threshold.

Growing community of inventors

Troy, MI, United States of America

Prabhjot Kaur