Surround-view fisheye cameras are commonly used for near-field sensing in automated
driving. Four fisheye cameras on four sides of the vehicle are sufficient to cover 360° around …

Automated vehicles rely heavily on image data from visible spectrum cameras to perform a
wide range of tasks from object detection, classification, and avoidance to path planning …

Autonomous driving is rapidly advancing, and Level 2 functions are becoming a standard
feature. One of the foremost outstanding hurdles is to obtain robust visual perception in …

Cameras are the primary sensor in automated driving systems. They provide high
information density and are optimal for detecting road infrastructure cues laid out for human …

Even though computer vision has been developing, edge detection is still one of the
challenges in that field. It comes from the limitations of the complementary metal oxide …

In this paper, we provide a survey on automotive surround-view fisheye optics, with an
emphasis on the impact of optical artifacts on computer vision tasks in autonomous driving …

With a 280 dB dynamic range, the real world is a High Dynamic Range (HDR) world.
Today's sensors cannot record this dynamic range in a single shot. Instead, HDR cameras …

In advanced driver assistance systems (ADAS) or autonomous vehicle research, acquiring
semantic information about the surrounding environment generally relies heavily on camera …

Autonomous vehicles have increasingly become a critical technology with advantages of
safety, effectiveness, and convenience after major advancements in both vehicle sensor …

Electric Vehicles are increasingly common, with inductive chargepads being considered a
convenient and efficient means of charging electric vehicles. However, drivers are typically …