Samsara Inc.

Lucas Doyle

Sean McGee

Jennifer Kao

Kevin Lai

Akshay Raj Dhamija

Brian Westphal

Cole Jurden

Shirish Nair

Rohit Annigeri

Faiz Abbasi

Jose Cazarin

Saurabh Tripathi

Aditi Dugar

Yogesh Bhumralkar

Douglas Boyle

Zack Littke-Smith

Christopher Siling Xue

Jason Liu

Pang Wu

Nathan Hurst

Abner Ayala

William Nathan Hurst

Methods, systems, and computer programs are presented for the management of lane-departure (LD) events. One method includes training a classifier for LD events and loading the classifier into a vehicle. LD events are detected based on outward images using the classifier, while the turn signal is monitored to prevent false triggers. If an LD event is detected, rules are checked for alerting the driver and deciding whether to alert the driver or not. Subsequently, additional rules are checked for reporting the event and deciding whether to report the event to a Behavior Monitoring System (BMS) or to discard it. The method also includes a solid line departure model that identifies crossing dashed, solid-white, and solid-yellow lanes, delaying alerts and event generation until a significant portion of the vehicle crosses over the lane. The model also outputs a confidence score reflecting the amount of vehicle deviation from the driving lane.

Lane departure monitoring

A quick action menu system may be configured to perform operations that include: causing display of a graphical user interface (GUI) at a client device, the GUI comprising a display of a persistent icon at a position within the GUI; receiving a selection of the persistent icon from the client device; accessing user profile data associated with a user of the client device responsive to the input that selects the persistent icon; and causing display of a quick actions menu to display content associated with the user profile data.

Context based action menu

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San Francisco, CA, United States of America

Lucas Doyle