Objective Using brain haemodynamic responses to measure perceived risk from traffic
complexity during automated driving. Background Although well-established during manual …

This study investigated how drivers can manage the take-over when silent or alerted failure
of automated lateral control occurs after monotonous hands-off driving with partial …

Driver activity classification is crucial for ensuring road safety, with applications ranging from
driver assistance systems to autonomous vehicle control transitions. In this paper, we …

GPUs are increasingly utilized for running DNN tasks on emerging mobile edge devices.
Beyond accelerating single task inference, their value is also particularly apparent in …

The aim of this paper is to examine the effect of explicit (ie, ransomware) and silent (ie, no
turn signals) failures on drivers' reported levels of trust and perception of risk. In a driving …

This work consists a master's thesis conducted in Computer Engineering: AI, Vision &
Sound. It describes the work conducted during a semester abroad at UC San Diego. It is …