Automotive perception involves understanding the external driving environment and the
internal state of the vehicle cabin and occupants using sensor data. It is critical to achieving …

The proliferation of vehicles and a subsequent increase in traffic accidents have led to a
heightened focus on driving safety. As a result, various researchers have been examining …

Early detection of fatigue driving is pivotal for the safety of drivers and pedestrians.
Traditional approaches mainly employ cameras and wearable sensors to detect fatigue …

In-cabin occupancy detection has become increasingly important due to incidents involving
children left in vehicles under extreme temperature conditions. Frequency modulated …

The four stages (first heart sound (S1), systole, second heart sound (S2), and diastole) of
heartbeat sounds recorded by contact seismocardiogram (SCG) reflect the health of the …

In the field of physiological signals monitoring and its applications, non-contact technology is
often proposed as a possible alternative to traditional contact devices. The ability to extract …

The state of drowsiness significantly affects work efficiency and productivity, increasing the
risk of accidents and mishaps. Radar-based detection technology offers significant …

In this dissertation, novel uses of millimeter-wave (mmW) radars are developed and
analyzed. While automotive mmW radars have been ubiquitous in advanced driver …

Radar has long been used to measure the range and velocity of different targets, starting
from planes in the Second World War through to autonomous car control in the 21st century …