10 research outputs found
Zhuyi: Perception Processing Rate Estimation for Safety in Autonomous Vehicles
The processing requirement of autonomous vehicles (AVs) for high-accuracy
perception in complex scenarios can exceed the resources offered by the
in-vehicle computer, degrading safety and comfort. This paper proposes a sensor
frame processing rate (FPR) estimation model, Zhuyi, that quantifies the
minimum safe FPR continuously in a driving scenario. Zhuyi can be employed
post-deployment as an online safety check and to prioritize work. Experiments
conducted using a multi-camera state-of-the-art industry AV system show that
Zhuyi's estimated FPRs are conservative, yet the system can maintain safety by
processing only 36% or fewer frames compared to a default 30-FPR system in the
tested scenarios.Comment: 2022 Design Automation Conference (DAC), July 10-14, 2022, San
Francisc