Go Back

Download Request

The Impact of AI on Autonomous Vehicles

Automotive systems designers initially used traditional embedded-vision algorithms in advanced driver assistance systems (ADAS). One of the key enablers of vehicle autonomy moving forward will be the application of artificial intelligence (AI) techniques, particularly those based upon deep-learning algorithms implemented on multi-layer convolutional neural networks (CNNs). These algorithms show great promise in the kind of object recognition, segmentation, and classification tasks necessary for vehicle autonomy.

Please complete the following form then click 'continue' to complete the download.
Note: all fields are required

Business Email:Required
First Name:Required
Last Name:Required
Phone:Required
Job Title:Required
Company:Required
Country/Region:Required
Address:Required
City:Required
State/Province:Required
Postal/Zip Code:Required
Contact me regarding this inquiry


Search Tools
🔍
Analog IP Selector Foundation IP Selector Non-Volatile Memory IP Selector
More IP Resources