Automated driving systems (ADSs) promise a safe, comfortable and efficient driving
experience. However, fatalities involving vehicles equipped with ADSs are on the rise. The …

Recent years have witnessed enormous progress in AI-related fields such as computer
vision, machine learning, and autonomous vehicles. As with any rapidly growing field, it …

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 …

Visual odometry (VO) is the process of estimating the egomotion of an agent (eg, vehicle,
human, and robot) using only the input of a single or multiple cameras attached to it …

We propose a real-time, direct monocular SLAM method for omnidirectional or wide field-of-
view fisheye cameras. Both tracking (direct image alignment) and map** (pixel-wise …

Geometric camera calibration is often required for applications that understand the
perspective of the image. We propose perspective fields as a representation that models the …

The transition of visual-odometry technology from research demonstrators to commercial
applications naturally raises the question:“what is the optimal camera for vision-based …

This paper presents a flexible approach for calibrating omnidirectional single viewpoint
sensors from planar grids. These sensors are increasingly used in robotics where accurate …

Creating high‐level structured 3D models of real‐world indoor scenes from captured data is
a fundamental task which has important applications in many fields. Given the complexity …

This survey is mainly motivated by the increased availability and use of panoramic image
acquisition devices, in computer vision and various of its applications. Different technologies …