Autonomous vehicles operate in dynamic environments continuously encountering safety-
critical scenarios. This necessitates employing methodologies that can handle these …

Recent advancements in technology have transformed conventional mechanical vehicles
into sophisticated computer systems on wheels. This transition has elevated their …

Risk mitigation is an important element to consider in risk evaluation. Safety features have
helped to decrease the death ratio over the years. However, to date, each driver assistance …

The transition to autonomous driving and increasing automation of cars requires these
systems to take correct decisions in very complex situations. For this, the understanding of a …

The integration of advanced sensing, signal processing, deep learning, and edge computing
into vehicles is enabling intelligent automated vehicles that can navigate autonomously in …

Future automotive systems will be highly automated and they will cooperate to optimize
important system qualities and performance. Established safety assurance approaches and …

Situational awareness (ie, perception of ones environment with respect to time and space) is
a primary tenet for safe and robust operation of autonomous vehicles. The current SA …

The software design of autonomous vehicles (AVs) incorporates artificial intelligence (AI)
characteristics to enhance their safety and overall driving performance. Central to vehicle's …

Autonomous driving vehicles provide a vast potential for realizing use cases in the on-road
and off-road domains. Consequently, remarkable solutions exist to autonomous systems' …

Vehicles are becoming increasingly intelligent and connected. Interfaces for communication
with the vehicle, such as WiFi and 5G, enable seamless integration into the user's life, but …