Creating a Scalable AD Software Stack Across Multiple Levels of Autonomy

You must be logged in to watch this session

First Name*

Last Name*

Job Title

Company Name

Country of Residence*

Work E-mail Address*

Password*

Confirm Password*

Your personal data will be used to support your experience throughout this website, to manage access to your account, and for other purposes described in our privacy policy.

Sense Media, on behalf of AutoSens, needs the contact information you provide to us to update you with information about AutoSens and our products. You may unsubscribe from these communications at anytime. For information on how to unsubscribe, as well as our privacy practices and commitment to protecting your privacy, check out our privacy policy.

Only fill in if you are not human

Creating a Scalable AD Software Stack Across Multiple Levels of Autonomy

Event: AutoSens Europe

| Session date: Wednesday 9th October

Session date: Wednesday 9th October

, 2024

Hear from:

Pier Paolo Porta

Marketing Director,

Ambarella

Pier Paolo Porta

Marketing Director,

Ambarella

Autonomous driving (AD) systems rely on sophisticated software stacks to process sensor data, make decisions, and control vehicles. These stacks typically incorporate complex sensing suites, covering a wide range of scenarios to ensure safety and reliability. However, as we transition into the initial phases of passenger-vehicle AD integration, which is beginning with lower autonomy levels, there’s an evident need for a smaller sensing suite.

It’s essential to address the challenge of adapting software stacks that were initially implemented in robotaxis and commercial vehicles, for smaller sensing suites. As varying levels of autonomy are deployed across a wider variety of vehicles, this creates the need for smaller sensing suites in mass-market vehicles with lower autonomy levels, such as L2+; while higher-end vehicles with fully autonomous modes require comprehensive sensor coverage.

This presentation outlines how an AD stack can be efficiently scaled down to L2+, and simultaneously ported to a production chip.