Abstract Automated Driving Systems (ADS) open up a new domain for the automotive
industry and offer new possibilities for future transportation with higher efficiency and …

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 …

Understanding the terrain in the upcoming path of a ground robot is one of the most
challenging problems in field robotics. Terrain and traversability analysis is a …

Deep learning-based intelligent vehicle perception has been develo** prominently in
recent years to provide a reliable source for motion planning and decision making in …

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 …

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 …

Unwanted camera obstruction can severely degrade captured images, including both scene
occluders near the camera and partial occlusions of the camera cover glass. Such …

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 …