Pedestrians are the most vulnerable participants in urban traffic. The first step toward
protecting pedestrians is to reliably detect them. We present a new approach for standing …

Mounting three fisheye cameras, on the sides and rear of a vehicle, can help a driver
maneuver his/her vehicle in restricted environments by providing a top view that is …

This paper presents an efficient technique for estimating the pose of an onboard stereo
vision system relative to the environment's dominant surface area, which is supposed to be …

The urban driving environment is a complex and demanding one, requiring increasingly
complex sensors for the driving assistance systems. These sensors must be able to analyze …

We present results of an effort where position and orientation data from vision and inertial
sensors are integrated and validated using data from an actual roadway. Information from a …

An approach of rapidly computing the projective width of lanes is presented to predict the
projective positions and widths of lanes. The Lane Marking Extraction Finite State Machine …

Generally, a surround-view system (SVS), which is an indispensable component of
advanced driving assistant systems (ADAS), consists of four to six wide-angle fisheye …

In autonomous driving applications, the calibration accuracy of the camera can directly affect
the accuracy of perception or depth estimation. For online calibration of surround-view …

Nowadays, the camera online calibration module has been a fundamental and often
requested component in an Advanced Driver Assistance System (ADAS). The proposed …

A typical surround-view system consists of four fisheye cameras. By performing an offline
calibration that determines both the intrinsics and extrinsics of the system, surround-view …