… intelligence on autonomous vehicle safety that research on the safety of artificial intelligence
for autonomous … [2] present a survey of deep learning techniques for autonomous driving …

… , monitor/actuator architecture and fault injection as a promising solution for testing autonomous
vehicle. … several approaches to enhance Highly Automated Vehicles (HAV) validation ef…

… “what” a runtime monitor should … runtime monitoring solutions for verifying the safe operation
of ADS. On a conceptual level, a novel Runtime Verification (RV) approach, namely the Safe …

… Autonomous vehicles rely on IoT-based … and autonomous vehicles for better decision-making
in real-time. The system has unique features to detect the upcoming and ongoing vehicles …

… intelligence and its importance to autonomous vehicles. … that integrate artificial intelligence
with autonomous vehicles. … intelligence or its variant to improve the autonomous vehicle’s …

… We are currently implementing our monitoring approach in the domain of autonomous road
vehicles. When compared to agricultural autonomous vehicles, road vehicles operate in a …

… Autonomous vehicles use Electronic Control Units running complex software to improve
passenger comfort and safety… racer setups we integrated our own health monitor. To have …

… of only the first two rules for monitoring real traffic scenarios, which are taken … autonomous
vehicle driving datasets do not usually have ground truth data for the non-autonomous vehicles…

… for the runtime monitoring of autonomous vehicle systems is … of the autonomous vehicle
systems and monitors system … The runtime monitoring verifies the correctness and safety of …

… a set of safety contracts for autonomous vehicles in STL, and … provide natural monitoring
capabilities for safety performance. … in which the vehicle violates basic safety conditions. Finally, …