- Mountain View CA, US Keith Hutchings - San Jose CA, US Julien Mercay - Redwood City CA, US Annissa Al-Alusi - San Mateo CA, US Saswat Panigrahi - Mountain View CA, US Cristi Landy - Sunnyvale CA, US Matthew Schwall - Sunnyvale CA, US
International Classification:
B60W 50/10 B60W 50/14 B60W 40/105 G05D 1/00
Abstract:
Aspects of the disclosure provide for determining when to provide and providing secondary disengage alerts for a vehicle having autonomous and manual driving modes. For instance, while the vehicle is being controlled in the autonomous driving mode, receiving user input at one or more using input devices of the vehicle. In response to receiving the user input, the vehicle may be transitioned from the autonomous driving mode to a manual driving mode and provide a primary disengage alert to an occupant of the vehicle regarding the transition. Whether to provide a secondary disengage alert may be determined based on at least circumstances of the user input. After the transition, the secondary disengage alert may be provided based on the determination.
- Mountain View CA, US Keith Hutchings - San Jose CA, US Julien Mercay - Redwood City CA, US Annissa Al-Alusi - San Mateo CA, US Saswat Panigrahi - Mountain View CA, US
International Classification:
B60W 50/10 B60W 50/14 B60W 40/105 G05D 1/00
Abstract:
Aspects of the disclosure provide for determining when to provide and providing secondary disengage alerts for a vehicle having autonomous and manual driving modes. For instance, while the vehicle is being controlled in the autonomous driving mode, receiving user input at one or more using input devices of the vehicle. In response to receiving the user input, the vehicle may be transitioned from the autonomous driving mode to a manual driving mode and provide a primary disengage alert to an occupant of the vehicle regarding the transition. Whether to provide a secondary disengage alert may be determined based on at least circumstances of the user input. After the transition, the secondary disengage alert may be provided based on the determination.
Systems And Methods For Detecting And Dynamically Mitigating Driver Fatigue
- Mountain View CA, US Julien Mercay - Redwood City CA, US Philip Nemec - San Jose CA, US Hans-olav Cavelie - San Francisco CA, US Saswat Panigrahi - Mountain View CA, US Johan Engstrom - Los Gatos CA, US
International Classification:
B60W 40/09 G06K 9/00 G05D 1/00 G06F 3/01
Abstract:
This technology relates to dynamically detecting, managing and mitigating driver fatigue in autonomous systems. For instance, interactions of a driver in a vehicle may be monitored to determine a distance or time when primary tasks associated with operation of the vehicle or secondary tasks issued by the vehicle computing were last performed. If primary tasks or secondary tasks are not performed within given distance thresholds or time limits, then one or more secondary tasks are initiated by the computing device of the vehicle. In another instance, potential driver fatigue, driver distraction or overreliance on an automated driving system is detected based on gaze direction or pattern of a driver. For example, a detected gaze direction or pattern may be compared to an expected gaze direction or pattern given the surrounding environment in a vicinity of the vehicle.
Systems And Methods For Detecting And Dynamically Mitigating Driver Fatigue
- Mountain View CA, US Julien Mercay - Redwood City CA, US Philip Nemec - San Jose CA, US Hans-olav CaveLie - San Francisco CA, US Saswat Panigrahi - Mountain View CA, US Johan Engstrom - Los Gators CA, US
International Classification:
B60W 40/09 G06K 9/00 G05D 1/00 G06F 3/01
Abstract:
This technology relates to dynamically detecting, managing and mitigating driver fatigue in autonomous systems. For instance, interactions of a driver in a vehicle may be monitored to determine a distance or time when primary tasks associated with operation of the vehicle or secondary tasks issued by the vehicle computing were last performed. If primary tasks or secondary tasks are not performed within given distance thresholds or time limits, then one or more secondary tasks are initiated by the computing device of the vehicle. In another instance, potential driver fatigue, driver distraction or overreliance on an automated driving system is detected based on gaze direction or pattern of a driver. For example, a detected gaze direction or pattern may be compared to an expected gaze direction or pattern given the surrounding environment in a vicinity of the vehicle
Systems And Methods For Detecting And Dynamically Mitigating Driver Fatigue
- Mountain View CA, US Julien Mercay - Redwood City CA, US Philip Nemec - San Jose CA, US Hans-olav CaveLie - San Francisco CA, US Saswat Panigrahi - Mountain View CA, US Johan Engstrom - Los Gatos CA, US
International Classification:
B60W 40/09 G06K 9/00 G06F 3/01 G05D 1/00
Abstract:
This technology relates to dynamically detecting, managing and mitigating driver fatigue in autonomous systems. For instance, interactions of a driver in a vehicle may be monitored to determine a distance or time when primary tasks associated with operation of the vehicle or secondary tasks issued by the vehicle computing were last performed. If primary tasks or secondary tasks are not performed within given distance thresholds or time limits, then one or more secondary tasks are initiated by the computing device of the vehicle. In another instance, potential driver fatigue, driver distraction or overreliance on an automated driving system is detected based on gaze direction or pattern of a driver. For example, a detected gaze direction or pattern may be compared to an expected gaze direction or pattern given the surrounding environment in a vicinity of the vehicle.
Waymo
Director of Product Management
Google Mar 2013 - Nov 2016
Senior Product Manager
Imd Business School Jan 2012 - Dec 2012
Mba Candidate
Ericsson Jul 2010 - Jan 2012
Line Manager, Communications Apps R and D
Ericsson Jan 2010 - Nov 2010
Strategic Product Manager, Consumer Applications and Product Manager, Converged Address Book
Education:
Imd Business School 2012 - 2012
Master of Business Administration, Masters, Leadership, Management
Mcgill University 2003 - 2005
Masters, Computer Engineering, Engineering
Indian Institute of Technology, Kanpur 1999 - 2003
Bachelors, Electrical Engineering
Stanford University
Skills:
Product Management Cross Functional Team Leadership Business Strategy Product Development Pre Sales Agile Methodologies