Intelligent driving assistance can alert drivers to objects in their environment; however, such
systems require a model of drivers' situational awareness (SA)(what aspects of the scene …

Advanced Driver Assistance Systems (ADAS) alert drivers during safety-critical scenarios
but often provide superfluous alerts due to a lack of consideration for drivers' knowledge or …

We study behavior change-based visual risk object identification (Visual-ROI), a critical
framework designed to detect potential hazards for intelligent driving systems. Existing …

Intelligent vehicles have been proposed as one path to increasing traffic safety and reducing
on-road crashes. Driving “intelligence” today takes many forms, ranging from simple blind …

Commonly used protocols for capturing the ground-truth situational awareness (SA) of
drivers involve halting a simulation and querying the driver. SA data collected in this way is …

Autonomous driving research faces challenges in generating corner case data, which is
crucial yet costly. While current methods like diffusion models and Neural Radiance Field …

We propose counterfactual reasoning through probabilistic logic twin networks (PLTNs) to
prevent collisions in self-driving cars. The basis of a PLTNs is a causal Bayesian network …