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research article
Toward Robust Sensing for Autonomous Vehicles: An Adversarial Perspective
June 29, 2020
Autonomous vehicles (AVs) rely on accurate and robust sensor observations for safety-critical decision making in a variety of conditions. The fundamental building blocks of such systems are sensors and classifiers that process ultrasound, radar, GPS, lidar, and camera signals [1]. It is of primary importance that the resulting decisions are robust to perturbations, which can take the form of different types of nuisances and data transformations and can even be adversarial perturbations (APs).
Type
research article
Authors
Publication date
2020-06-29
Published in
Volume
37
Issue
4
Start page
14
End page
23
Peer reviewed
REVIEWED
EPFL units
Available on Infoscience
July 15, 2020
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