No
Yes
View More
View Less
Working...
Close
OK
Cancel
Confirm
System Message
Delete
Schedule
An unknown error has occurred and your request could not be completed. Please contact support.
Scheduled
Wait Listed
Personal Calendar
Speaking
Conference Event
Meeting
Interest
Schedule TBD
Conflict Found
This session is already scheduled at another time. Would you like to...
Loading...
Please enter a maximum of {0} characters.
Please enter a maximum of {0} words.
must be 50 characters or less.
must be 40 characters or less.
Session Summary
We were unable to load the map image.
This has not yet been assigned to a map.
Search Catalog
Reply
Replies ()
Search
New Post
Microblog
Microblog Thread
Post Reply
Post
Your session timed out.
This web page is not optimized for viewing on a mobile device. Visit this site in a desktop browser to access the full set of features.
2017 GTC San Jose

S7661 - How Artificial Intelligence and Edge Computing Are Transforming Driver Safety, Recognition, and Retention

Session Speakers
Session Description

Through the application of artificial intelligence and deep learning, "computing at the edge" is changing how safety systems are detecting, capturing, analyzing, and applying reasoning to events. Using real-time analysis of the data from cameras and inertial sensors mounted on a vehicle, we can not only detect unsafe driving events but also analyze the chain of events that lead to unsafe situations. We can recognize driver's positive performance in addition to areas where best practices need to be reinforced. Power-efficient and powerful deep learning processors enable us to process all of this data in real time at the edge of the network. This allows us to create an accurate and comprehensive record of driving performance that fleet managers can use to create incentives for safer driving. Insurance companies can also use this information to set proper premiums customized for individual drivers and potentially adjusted dynamically to reflect the driving environment. 


Additional Session Information
All
Talk
AI for In-Vehicle Applications Deep Learning and AI Federal Intelligent Video Analytics
Automotive
25 minutes
Session Schedule