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Autonomous vehicle software vulnerability assessment, risk analysis, attack and threat models -
Safe design and implementation of autonomous vehicle software and applications for autonomous vehicles -
Autonomous vehicle operating system security -
Availability, resiliency and fault tolerance in autonomous vehicle software -
Autonomous vehicle software testing, verification and validation -
Autonomous vehicle software quality evaluation methodologies and metrics -
Autonomous vehicle software forensics, events monitoring and auditing -
Autonomous vehicle software standardization, certification, and interoperability -
Secure intra-vehicle, vehicle-to-vehicle, and other vehicular network communications -
Testing of machine learning components for autonomous vehicles -
Practical experiences, empirical studies, and testbeds for autonomous vehicle software -
Industrial experiences and best practices for autonomous vehicle software development -
Program synthesis for autonomous vehicle software -
Intelligent interaction in self-driving -
Self-driving environment perception, machine vision
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