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 …

Surround-view cameras are a primary sensor for automated driving, used for near-field
perception. It is one of the most commonly used sensors in commercial vehicles primarily …

Abstract Bird's-eye-view (BEV) grid is a common representation for the perception of road
components, eg, drivable area, in autonomous driving. Most existing approaches rely on …

Deep neural networks (DNNs) have accomplished impressive success in various
applications, including autonomous driving perception tasks, in recent years. On the other …

Moving object detection and segmentation is an essential task in the Autonomous Driving
pipeline. Detecting and isolating static and moving components of a vehicle's surroundings …

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

Significant advances have been made in advanced driver assist systems (ADAS) and
automated driving (AD) systems in recent decades. However, much of the progress has …

Multimodal learning, particularly for pedestrian detection, has recently received emphasis
due to its capability to function equally well in several critical autonomous driving scenarios …

Multiple sensor types have been increasingly used in modern autonomous driving systems
(ADS) to ensure safer perception. Through applications of multiple modalities of perception …

Autonomous driving technology is rapidly evolving, offering the potential for safer and more
efficient transportation. However, the performance of these systems can be significantly …