Localization in high-level Autonomous Driving (AD) systems is highly security critical.
Recently, researchers found that state-of-the-art Multi-Sensor Fusion (MSF) based …

To enable high-level driving automation [1], the Autonomous Driving (AD) system in an
Autonomous Vehicle (AV) needs to perform centimeter-level localization of its own global …

For high-level Autonomous Vehicles (AV), localization is highly security and safety critical.
One direct threat to it is GPS spoofing, but fortunately, AV systems today predominantly use …

The lane-level localization accuracy is very important for autonomous vehicles. The Global
Navigation Satellite System (GNSS), eg GPS, is a generic localization method for vehicles …

Recent studies demonstrated the vulnerability of control policies learned through deep
reinforcement learning against adversarial attacks, raising concerns about the application of …

Autonomous Vehicles (AVs) are equipped with various sensors and controlled by
Autonomous Driving Systems (ADSs) to provide high-level autonomy. When interacting with …

With the growing number of research studies on autonomous driving, a lot of new
technologies for self-driving cars are also constantly emerging. While significantly promoting …

Accurate and robust localization is crucial for supporting high-level driving automation and
safety. Modern localization solutions rely on various sensors, among which GPS has been …

Autonomous driving is developing rapidly and has achieved promising performance by
adopting machine learning algorithms to finish various tasks automatically. Lane detection is …

Attacks on the GPS receiver of Connected and Autonomous Vehicles (CAV) and specifically
GPS location spoofing is of great concern for the automotive industry as the attacker can …